# Zoominfo Scraper (`ecomscrape/zoominfo-company-scraper`)

Zoominfo Scraper extracts detailed company data from Zoominfo, providing structured formats like JSON for reports, spreadsheets,.. It supports input via URLs or company names, proxy setup, and retries. Output includes revenue, address, industries, and more, ideal for market research and analysis.

- **URL**: https://beta-securitybyobscurity.apify.com/ecomscrape/zoominfo-company-scraper.md
- **Developed by:** [ecomscrape](https://beta-securitybyobscurity.apify.com/ecomscrape) (community)
- **Categories:** Social media, Automation, Lead generation
- **Stats:** 379 total users, 61 monthly users, 100.0% runs succeeded, 14 bookmarks
- **User rating**: 1.67 out of 5 stars

## Pricing

$20.00/month + usage

To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period.
You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#rental-actors

# README

## Contact

If you encounter any issues or need to exchange information, please feel free to contact us through the following link:
[My profile](https://apify.com/ecomscrape)

## **Professional ZoomInfo B2B Intelligence Data Extraction Tool**

### Introduction

In today's data-driven world, having access to accurate and comprehensive company information is crucial for businesses aiming to enhance their marketing strategies, sales outreach, and competitive analysis. [ZoomInfo.com](https://www.zoominfo.com) serves as a valuable resource, offering an extensive database of company profiles, contact information, and industry insights. However, manually extracting this data can be time-consuming and inefficient. This is where the ZoomInfo Scraper comes into play, providing an automated solution to seamlessly gather and utilize the wealth of information available on ZoomInfo.

### Overview of ZoomInfo Scraper

The ZoomInfo Scraper is a specialized tool designed to automate the extraction of valuable data from ZoomInfo.com. Its primary function is to systematically collect detailed company information, including contact details, revenue figures, industry classifications, and more. One of the standout features of this scraper is its ability to handle large volumes of data with precision, ensuring that businesses can scale their data collection efforts without compromising on quality.

#### Key Features and Advantages

- **Automated Data Extraction:** Eliminates the need for manual data collection, saving time and reducing the potential for human error.
- **Comprehensive Data Coverage:** Gathers a wide range of information, from basic company profiles to detailed financial metrics.
- **User-Friendly Interface:** Designed for ease of use, allowing both technical and non-technical users to operate the scraper efficiently.
- **Scalability:** Capable of handling extensive data extraction tasks, making it suitable for businesses of all sizes.
- **Compliance and Security:** Incorporates proxy settings and retry mechanisms to ensure compliance with website policies and maintain data integrity.

#### Target Users

The ZoomInfo Scraper is ideal for sales teams, marketing professionals, data analysts, and business intelligence specialists who require reliable and up-to-date company information to drive their strategies and decision-making processes.

### Detailed Input and Output Specifications

#### Input Format

To effectively extract data, the ZoomInfo Scraper requires specific input parameters. The configuration is defined in a JSON format, ensuring flexibility and customization according to user needs.

- **URLs or companies name** - Links to company information pages, Names of companies. You can paste URLs or names one at a time or use the Bulk Edit section to add a prepared list.
- **Include similar companies** - This option allows you to gather additional information about similar companies.
- **Limit the number of retries** - Maximum number of retries for each URL when collecting data when an unexpected error occurs.
- **Proxy configuration** - Add a proxy to ensure that during the data collection process, you are not detected as a bot.

#### Output Format

The ZoomInfo Scraper provides structured output data, facilitating easy integration with other tools and databases. The extracted information includes, but is not limited to:

- **Url:** The URL of the company’s ZoomInfo page.
- **Id:** Unique identifier for the company within ZoomInfo.
- **Name:** Short name of the company.
- **Full Name:** Official full name of the company.
- **Description:** Brief description of the company's business activities.
- **Revenue:** Annual revenue in numerical form.
- **Revenue Currency:** Currency in which the revenue is denoted.
- **Revenue Text:** Revenue expressed in textual format.
- **Website:** Official company website URL.
- **Stock Symbol:** Stock market ticker symbol, if applicable.
- **Address:** Physical address of the company's headquarters.
- **Phone Number:** Contact phone number.
- **Founding Year:** Year the company was founded.
- **Industries:** List of industries the company operates within.
- **Similar Company Urls:** URLs to similar companies’ ZoomInfo pages.
- **Fax:** Fax number, if available.
- **Fundings:** Details about company funding rounds.
- **Social Network Urls:** Links to the company's social media profiles.

Zoominfo Scraper offers 2 different types of data collection, including:

##### 1. Collect company data from company information pages

Example url 1: https://www.zoominfo.com/c/walmart-inc/155353090

Example url 2: https://www.zoominfo.com/c/google-llc/16400573

Example url 3: https://www.zoominfo.com/c/apify-technologies-sro/437323768

Example Screenshot of company information page:

![](https://i.ibb.co/64Fvr23/Screenshot-from-2025-01-02-11-08-47.png)

**Input:**

```json
{
  "max_retries_per_url": 2, // Maximum waiting time when accessing the links you provided.
  "proxy": { // Add a proxy to ensure that during the data collection process, you are not detected as a bot.
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL" 
    ],
    "apifyProxyCountry": "US" // You should choose an Country that coincides with the Country you want to collect data from
  },
  "include_similar_companies": true,
  "urls_or_companies_names": [ // Links to company information pages.
    "https://www.zoominfo.com/c/walmart-inc/155353090",
    "https://www.zoominfo.com/c/google-llc/16400573",
    "https://www.zoominfo.com/c/apify-technologies-sro/437323768"
  ]
}
```

**Output:**

You get the output from the Zoominfo Scraper stored in a tab. The following is an example of the Information Fields collected after running the Actor.

```json
[ // List of company information
  {
    "url": "https://www.zoominfo.com/c/walmart-inc/155353090",
    "id": "155353090",
    "name": "Walmart",
    "full_name": "Walmart Inc",
    "description": "Walmart Inc. engages in the operation of retail, wholesale, other units, and eCommerce worldwide. The company operates through three segments: Walmart U.S., Walmart International, and Sam's Club. It operates supercenters, supermarkets, hypermarkets, warehouse clubs, cash and carry stores, and discount stores under Walmart and Walmart Neighborhood Market brands; membership-only warehouse clubs; ecommerce websites, such as walmart.com.mx, walmart.ca, flipkart.com, PhonePe and other sites; and mobile commerce applications. The company offers grocery and consumables, including dairy, meat, bakery, deli, produce, dry, chilled or frozen packaged foods, alcoholic and nonalcoholic beverages, floral, snack foods, candy, other grocery items, health and beauty aids, paper goods, laundry and home care, baby care, pet supplies, and other consumable items; fuel, tobacco and other categories. It is also involved in the provision of health and wellness products covering pharmacy, optical and hearing services, and over-the-counter drugs and other medical products; and home and apparel including home improvement, outdoor living, gardening, furniture, apparel, jewelry, tools and power equipment, housewares, toys, seasonal items, mattresses and tire and battery centers. In addition, the company offers consumer electronics and accessories, software, video games, office supplies, appliances, and third-party gift cards. Further, it operates digital payment platforms; and offers financial services and related products, including money transfers, bill payments, money orders, check cashing, prepaid access, co-branded credit cards, installment lending, and earned wage access. Additionally, the company markets lines of merchandise under private brands, including Allswell, Athletic Works, Equate, and Free Assembly. The company was formerly known as Wal-Mart Stores, Inc. and changed its name to Walmart Inc. in February 2018. Walmart Inc. was founded in 1945 and is based in Bentonville, Arkansas.",
    "revenue": 673819000.0,
    "revenue_currency": "$",
    "revenue_text": "$673.8 Billion",
    "website": "//corporate.walmart.com",
    "stock_symbol": "WMT",
    "address": {
      "street": "702 SW 8th St",
      "city": "Bentonville",
      "state": "Arkansas",
      "country": "United States",
      "zip": "72716"
    },
    "number_of_employees": "2100000",
    "phone_number": "(479) 273-4000",
    "founding_year": 1962,
    "industries": [
      "Department Stores, Shopping Centers & Superstores",
      "Retail"
    ],
    "similar_company_urls": [
      {
        "id": "1475361",
        "name": "Amazon",
        "employees": "1511000",
        "revenue": "620128000",
        "logo": "https://res.cloudinary.com/zoominfo-com/image/upload/w_52,h_52,c_fit/amazon.com",
        "index": 0,
        "company_page_link": "/c/amazon/1475361"
      },
      {
        "id": "37536530",
        "name": "Target",
        "employees": "415000",
        "revenue": "107000000",
        "logo": "https://res.cloudinary.com/zoominfo-com/image/upload/w_52,h_52,c_fit/corporate.target.com",
        "index": 1,
        "company_page_link": "/c/target/37536530"
      },
      {
        "id": "345283492",
        "name": "Costco Wholesale",
        "employees": "333000",
        "revenue": "254000000",
        "logo": "https://res.cloudinary.com/zoominfo-com/image/upload/w_52,h_52,c_fit/costco.com",
        "index": 2,
        "company_page_link": "/c/costco-wholesale/345283492"
      },
      {
        "id": "23167139",
        "name": "Lowe's Home Improvement",
        "employees": "300000",
        "revenue": "84023002",
        "logo": "https://res.cloudinary.com/zoominfo-com/image/upload/w_52,h_52,c_fit/lowes.com",
        "index": 3,
        "company_page_link": "/c/lowes-home-improvement/23167139"
      },
      {
        "id": "10256729",
        "name": "CVS Health",
        "employees": "218204",
        "revenue": "368912000",
        "logo": "https://res.cloudinary.com/zoominfo-com/image/upload/w_52,h_52,c_fit/cvshealth.com",
        "index": 4,
        "company_page_link": "/c/cvs-health/10256729"
      },
      {
        "id": "29330408",
        "name": "Dollar General",
        "employees": "185800",
        "revenue": "39676978",
        "logo": "https://res.cloudinary.com/zoominfo-com/image/upload/w_52,h_52,c_fit/dollargeneral.com",
        "index": 5,
        "company_page_link": "/c/dollar-general/29330408"
      }
    ],
    "fax": "(479) 277-1830",
    "fundings": {
      "data": [
        {
          "date": "Sep 30, 2024",
          "amount_value": "150000",
          "amount_label": "$150M",
          "round": "Debt",
          "investors_label": [
            null
          ]
        },
        {
          "date": "Sep 30, 2024",
          "amount_value": "155000",
          "amount_label": "$155M",
          "round": "Debt",
          "investors_label": [
            "Ready Capital"
          ]
        },
        {
          "date": "Mar 01, 1972",
          "amount_value": "3000",
          "amount_label": "<$5M",
          "round": "Stock Issuance/Offering",
          "investors_label": [
            null
          ]
        },
        {
          "date": "May 01, 1970",
          "amount_value": "2500",
          "amount_label": "<$5M",
          "round": "Debt",
          "investors_label": [
            "Mass Mutual"
          ]
        },
        {
          "date": "Jan 05, 1961",
          "amount_value": "350",
          "amount_label": "<$5M",
          "round": "Debt",
          "investors_label": [
            "Arvest Bank Group"
          ]
        },
        {
          "date": "Feb 02, 1960",
          "amount_value": "1000",
          "amount_label": "<$5M",
          "round": "Debt",
          "investors_label": [
            "First National Bank of Commerce"
          ]
        }
      ],
      "totals": {
        "total_amount": "$311.9M",
        "last_funding_amount": "$150M",
        "num_of_rounds": 6
      }
    },
    "social_network_urls": [
      {
        "social_network_type": "LINKED_IN",
        "social_network_url": "http://www.linkedin.com/company/walmart"
      },
      {
        "social_network_type": "TWITTER",
        "social_network_url": "http://www.twitter.com/walmart"
      },
      {
        "social_network_type": "FACEBOOK",
        "social_network_url": "http://www.facebook.com/walmart"
      }
    ],
    "from_url_or_company_name": "https://www.zoominfo.com/c/walmart-inc/155353090"
  }, // ... Many other company details
]
```

##### 2. Collect company data from names of companies

Example name: amazon | Google | apify

**Input:**

```json
{
  "max_retries_per_url": 2, // Maximum waiting time when accessing the links you provided.
  "proxy": { // Add a proxy to ensure that during the data collection process, you are not detected as a bot.
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL" 
    ],
    "apifyProxyCountry": "US" // You should choose an Country that coincides with the Country you want to collect data from
  },
  "include_similar_companies": true,
  "urls_or_companies_names": [ // List of Company list page from Author
        "amazon",
        "Google",
        "apify"
    ]
}
```

**Output:**

You get the output from the Zoominfo Scraper stored in a tab. The following is an example of the Information Fields collected after running the Actor.

```json
[
  {
    "url": "https://www.zoominfo.com/c/amazoncom-inc/1475361",
    "id": "1475361",
    "name": "Amazon",
    "full_name": "Amazon.com Inc",
    "description": "Amazon.com, Inc. engages in the retail sale of consumer products in North America and internationally. It operates through the North America, International, and Amazon Web Services (AWS) segments. The company sells merchandise and content purchased for resale from vendors, as well as those offered by third-party sellers through retail Websites, such as amazon.com, amazon.ca, amazon.com.mx, amazon.com.au, amazon.com.br, amazon.cn, amazon.fr, amazon.de, amazon.in, amazon.it, amazon.co.jp, amazon.nl, amazon.es, and amazon.co.uk. It also manufactures and sells electronic devices, including kindle e-readers, fire tablets, fire TVs, and echo, as well as fire phones; and provides Kindle Direct Publishing, an online platform that allows independent authors and publishers to make their books available in the Kindle Store. In addition, the company offers programs that enable sellers to sell their products on its Websites, as well as their own branded Websites; and programs that allow authors, musicians, filmmakers, app developers, and others to publish and sell content. Further, it offers compute, storage, database, and other AWS services, as well as fulfillment, publishing, digital content subscriptions, advertising, and co-branded credit card agreements services. Additionally, the company offers Amazon Prime, an annual membership program, which provides free shipping of various items; access to unlimited streaming of movies and TV episodes; and other services. It serves consumers, sellers, developers, enterprises, and content creators. The company was founded in 1994 and is headquartered in Seattle, Washington.",
    "revenue": 620128000.0,
    "revenue_currency": "$",
    "revenue_text": "$620.1 Billion",
    "website": "//amazon.com",
    "stock_symbol": "AMZN",
    "address": {
      "street": "410 Terry Ave N",
      "city": "Seattle",
      "state": "Washington",
      "country": "United States",
      "zip": "98109"
    },
    "number_of_employees": "1511000",
    "phone_number": "(206) 266-1000",
    "founding_year": 1994,
    "industries": [
      "Apparel & Accessories Retail",
      "Retail"
    ],
    "similar_company_urls": [
      {
        "id": "155353090",
        "name": "Walmart",
        "employees": "2100000",
        "revenue": "673819000",
        "logo": "https://res.cloudinary.com/zoominfo-com/image/upload/w_52,h_52,c_fit/corporate.walmart.com",
        "index": 0,
        "company_page_link": "/c/walmart/155353090"
      },
      {
        "id": "344212457",
        "name": "JD.com",
        "employees": "517124",
        "revenue": "155238571",
        "logo": "https://res.cloudinary.com/zoominfo-com/image/upload/w_52,h_52,c_fit/corporate.jd.com",
        "index": 1,
        "company_page_link": "/c/jdcom/344212457"
      },
      {
        "id": "37536530",
        "name": "Target",
        "employees": "415000",
        "revenue": "107000000",
        "logo": "https://res.cloudinary.com/zoominfo-com/image/upload/w_52,h_52,c_fit/corporate.target.com",
        "index": 2,
        "company_page_link": "/c/target/37536530"
      },
      {
        "id": "345283492",
        "name": "Costco Wholesale",
        "employees": "333000",
        "revenue": "254000000",
        "logo": "https://res.cloudinary.com/zoominfo-com/image/upload/w_52,h_52,c_fit/costco.com",
        "index": 3,
        "company_page_link": "/c/costco-wholesale/345283492"
      },
      {
        "id": "18579882",
        "name": "IBM",
        "employees": "282200",
        "revenue": "62582002",
        "logo": "https://res.cloudinary.com/zoominfo-com/image/upload/w_52,h_52,c_fit/ibm.com",
        "index": 4,
        "company_page_link": "/c/ibm/18579882"
      },
      {
        "id": "24904409",
        "name": "Microsoft",
        "employees": "228000",
        "revenue": "254000000",
        "logo": "https://res.cloudinary.com/zoominfo-com/image/upload/w_52,h_52,c_fit/microsoft.com",
        "index": 5,
        "company_page_link": "/c/microsoft/24904409"
      }
    ],
    "fax": "(206) 622-2405",
    "fundings": {
      "data": [
        {
          "date": "May 14, 1997",
          "amount_value": "48000",
          "amount_label": "$48M",
          "round": "Stock Issuance/Offering",
          "investors_label": [
            null
          ]
        }
      ],
      "totals": {
        "total_amount": "$48M",
        "last_funding_amount": "$48M",
        "num_of_rounds": 1
      }
    },
    "social_network_urls": [
      {
        "social_network_type": "LINKED_IN",
        "social_network_url": "http://www.linkedin.com/company/amazon"
      },
      {
        "social_network_type": "TWITTER",
        "social_network_url": "http://www.twitter.com/amazonnews"
      },
      {
        "social_network_type": "FACEBOOK",
        "social_network_url": "http://www.facebook.com/amazon"
      }
    ],
    "from_url_or_company_name": "amazon"
  }, // ... Many other company details
]
```

## How to Use ZoomInfo Scraper

Utilizing the ZoomInfo Scraper is straightforward, ensuring that users can efficiently set up and begin data extraction with minimal effort. Below is a step-by-step guide to get you started.

1. Setup Configuration:

Prepare your input JSON file with the necessary parameters, including proxy settings and the list of company URLs or names you wish to scrape.

2. Launch the Scraper:

- Import the configuration into the ZoomInfo Scraper tool.

- Initiate the scraping process by executing the script or clicking the 'Start' button, depending on the interface.

3. Monitor Progress:

Keep an eye on the scraper's progress through the dashboard or logs to ensure there are no errors during extraction.

4. Retrieve Data:

Once the scraping is complete, access the output data, which will be structured as per the defined output format.

### Tips and Best Practices

- Ensure Accurate Inputs: Double-check the URLs and company names to avoid scraping errors or irrelevant data.

- Optimize Proxy Settings: Use appropriate proxy configurations to mimic genuine user behavior and reduce the risk of being blocked.

- Respect Legal Boundaries: Always ensure that your scraping activities comply with ZoomInfo's terms of service and relevant data protection laws.

- Handle Data Responsibly: Use the extracted data ethically, especially personal contact information, adhering to privacy regulations.

- Common Issues and Troubleshooting

- Incomplete Data Extraction: Verify that all input URLs are valid and accessible. Ensure that the scraper settings are correctly configured.

### Benefits and Applications

Implementing the ZoomInfo Scraper offers numerous advantages that can significantly impact various aspects of a business.

### Time and Cost Efficiency

Automating the data extraction process eliminates the need for manual data entry, saving valuable time and reducing labor costs. Businesses can redirect these resources towards more strategic initiatives.

### Enhanced Marketing and Sales Strategies

With access to detailed company information, marketing and sales teams can tailor their campaigns and outreach efforts more effectively, targeting the right audience with personalized messages.

### Competitive Analysis

Understanding the market landscape and keeping track of competitors' activities becomes effortless with comprehensive data, enabling businesses to make informed decisions and stay ahead.

### Data-Driven Decision Making

Accurate and up-to-date information allows businesses to base their strategies on solid data, enhancing the likelihood of success and minimizing risks.

### Conclusion

The ZoomInfo Scraper is an invaluable tool for businesses seeking to harness the power of comprehensive company data from ZoomInfo.com. By automating the extraction process, it not only saves time and resources but also provides the detailed insights necessary for effective marketing, sales, and strategic planning. Embrace the ZoomInfo Scraper today to elevate your business intelligence capabilities and drive success.

## Your feedback

We are always working to improve Actors' performance. So, if you have any technical feedback about Zoominfo Scraper or simply found a bug, please create an issue on the Actor's Issues tab in Apify Console.

# Actor input Schema

## `urls_or_companies_names` (type: `array`):

Add the URLs of the companies or names of companies you want to scrape. You can paste URLs or names one by one, or use the Bulk edit section to add a prepared list.

## `include_similar_companies` (type: `boolean`):

This option allows you to gather additional information about similar companies

## `max_retries_per_url` (type: `integer`):

Limit the number of retries for each URL, If an error occurs during the data scraping process.

## `proxy` (type: `object`):

Select proxies to be used by your scraper.

## Actor input object example

```json
{
  "urls_or_companies_names": [
    "https://www.zoominfo.com/c/walmart-inc/155353090",
    "amazon"
  ],
  "include_similar_companies": true,
  "max_retries_per_url": 2,
  "proxy": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "US"
  }
}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "urls_or_companies_names": [
        "https://www.zoominfo.com/c/walmart-inc/155353090",
        "amazon"
    ],
    "include_similar_companies": true,
    "max_retries_per_url": 2,
    "proxy": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ],
        "apifyProxyCountry": "US"
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("ecomscrape/zoominfo-company-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "urls_or_companies_names": [
        "https://www.zoominfo.com/c/walmart-inc/155353090",
        "amazon",
    ],
    "include_similar_companies": True,
    "max_retries_per_url": 2,
    "proxy": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
        "apifyProxyCountry": "US",
    },
}

# Run the Actor and wait for it to finish
run = client.actor("ecomscrape/zoominfo-company-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "urls_or_companies_names": [
    "https://www.zoominfo.com/c/walmart-inc/155353090",
    "amazon"
  ],
  "include_similar_companies": true,
  "max_retries_per_url": 2,
  "proxy": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "US"
  }
}' |
apify call ecomscrape/zoominfo-company-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=ecomscrape/zoominfo-company-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Zoominfo Scraper",
        "description": "Zoominfo Scraper extracts detailed company data from Zoominfo, providing structured formats like JSON for reports, spreadsheets,.. It supports input via URLs or company names, proxy setup, and retries. Output includes revenue, address, industries, and more, ideal for market research and analysis.",
        "version": "0.0",
        "x-build-id": "tPd8gGy5hNdIxkY8x"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/ecomscrape~zoominfo-company-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-ecomscrape-zoominfo-company-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/ecomscrape~zoominfo-company-scraper/runs": {
            "post": {
                "operationId": "runs-sync-ecomscrape-zoominfo-company-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK",
                        "content": {
                            "application/json": {
                                "schema": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/ecomscrape~zoominfo-company-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-ecomscrape-zoominfo-company-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        }
    },
    "components": {
        "schemas": {
            "inputSchema": {
                "type": "object",
                "properties": {
                    "urls_or_companies_names": {
                        "title": "URLs or names of companies names you want to collect",
                        "type": "array",
                        "description": "Add the URLs of the companies or names of companies you want to scrape. You can paste URLs or names one by one, or use the Bulk edit section to add a prepared list.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "include_similar_companies": {
                        "title": "Include similar companies",
                        "type": "boolean",
                        "description": "This option allows you to gather additional information about similar companies"
                    },
                    "max_retries_per_url": {
                        "title": "Limit the number of retries for each URL",
                        "type": "integer",
                        "description": "Limit the number of retries for each URL, If an error occurs during the data scraping process."
                    },
                    "proxy": {
                        "title": "Proxy configuration",
                        "type": "object",
                        "description": "Select proxies to be used by your scraper."
                    }
                }
            },
            "runsResponseSchema": {
                "type": "object",
                "properties": {
                    "data": {
                        "type": "object",
                        "properties": {
                            "id": {
                                "type": "string"
                            },
                            "actId": {
                                "type": "string"
                            },
                            "userId": {
                                "type": "string"
                            },
                            "startedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "finishedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "status": {
                                "type": "string",
                                "example": "READY"
                            },
                            "meta": {
                                "type": "object",
                                "properties": {
                                    "origin": {
                                        "type": "string",
                                        "example": "API"
                                    },
                                    "userAgent": {
                                        "type": "string"
                                    }
                                }
                            },
                            "stats": {
                                "type": "object",
                                "properties": {
                                    "inputBodyLen": {
                                        "type": "integer",
                                        "example": 2000
                                    },
                                    "rebootCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "restartCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "resurrectCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "computeUnits": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "options": {
                                "type": "object",
                                "properties": {
                                    "build": {
                                        "type": "string",
                                        "example": "latest"
                                    },
                                    "timeoutSecs": {
                                        "type": "integer",
                                        "example": 300
                                    },
                                    "memoryMbytes": {
                                        "type": "integer",
                                        "example": 1024
                                    },
                                    "diskMbytes": {
                                        "type": "integer",
                                        "example": 2048
                                    }
                                }
                            },
                            "buildId": {
                                "type": "string"
                            },
                            "defaultKeyValueStoreId": {
                                "type": "string"
                            },
                            "defaultDatasetId": {
                                "type": "string"
                            },
                            "defaultRequestQueueId": {
                                "type": "string"
                            },
                            "buildNumber": {
                                "type": "string",
                                "example": "1.0.0"
                            },
                            "containerUrl": {
                                "type": "string"
                            },
                            "usage": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "integer",
                                        "example": 1
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "usageTotalUsd": {
                                "type": "number",
                                "example": 0.00005
                            },
                            "usageUsd": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "number",
                                        "example": 0.00005
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```
