# Glassdoor Company Scraper (`saswave/glassdoor-company-scraper`)

Glassdoor scraper extract data from company glassdoor.com website at scale. OVERVIEW,  REVIEW, SALARIES, INTERVIEWS, JOBS. Collect and gather company infos and data. Scale and boost your HR insights,  market research and analytics

- **URL**: https://beta-securitybyobscurity.apify.com/saswave/glassdoor-company-scraper.md
- **Developed by:** [SASWAVE](https://beta-securitybyobscurity.apify.com/saswave) (community)
- **Categories:** Jobs, Lead generation, Automation
- **Stats:** 5 total users, 2 monthly users, 100.0% runs succeeded, 2 bookmarks
- **User rating**: No ratings yet

## Pricing

$15.00/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

### Glassdoor Company scraper

Glassdoor scraper extract data from company glassdoor.com website effortlessly.

Collect and gather company overview, reviews (ratings & comments), salaries , interviews, jobs

Scale your HR insights,  market research and analytics

### Ouput example

Overview

```json
{
  "title": "Google",
  "details": [
    "10000+ Employees",
    "goo.gle/4ehVuXi",
    "Mountain View, CA",
    "Type: Company - Public (GOOG)",
    "Founded in 1998",
    "Revenue: $10+ billion (USD)",
    "Internet & Web Services"
  ],
  "competitors": "",
  "description": "Since our founding in 1998, Google has grown by leaps and bounds. Starting from two computer science students in a university dorm room, we now have over a hundred thousand employees and over one hundred offices around the world. These Googlers build products that help create opportunities for everyone, whether down the street or across the globe. So whether you want to be a part of developing innovative technology, campaigns, products or partnerships, your work here is a chance to accomplish things that matter. To learn more about our job opportunities, teams, offices, benefits and workplace culture, visit careers.google.com. ",
  "mission": "Organize the world’s information and make it universally accessible and useful.",
  "socials": [],
  "activeStatus": "ACTIVE",
  "approvalStatus": "APPROVED",
  "headquarters": "Mountain View, CA",
  "id": 9079,
  "industryId": 200063,
  "sectorId": 10013,
  "industry": "Internet & Web Services",
  "sector": "Information Technology",
  "profileId": 9158,
  "location": "Mountain View, CA",
  "legal_action_badges": [],
  "type": "Company - Public",
  "stock": "GOOG",
  "yearFounded": 1998,
  "rating": 4.3,
  "diversity_inclusion_rating_count": 12729,
  "benefitCount": 26034,
  "interviewCount": 23695,
  "photoCount": 622,
  "reviewCount": 64831,
  "salaryCount": 179730,
  "job_count": 4094,
  "subsidiaries": [
    {
      "rating": 4.4,
      "headquarters": "San Bruno, CA",
      "jobCount": 109,
      "reviewCount": 1964,
      "salaryCount": 2903,
      "shortName": "YouTube"
    },
    {
      "rating": 4.1,
      "headquarters": "South San Francisco, CA",
      "jobCount": 19,
      "reviewCount": 43,
      "salaryCount": 120,
      "shortName": "Calico Life Sciences"
    },
    {
      "rating": 4.2,
      "headquarters": "New York, NY",
      "jobCount": 0,
      "reviewCount": 23,
      "salaryCount": 38,
      "shortName": "Sidewalk Labs"
    }
  ],
  "page_view_summary": 0,
  "total_questions": 73,
  "interviews": {
    "difficultySubmissionCount": 22766,
    "difficultySum": 76522,
    "feedbacks": {
      "positive": 14488,
      "negative": 2973,
      "neutral": 5443
    }
  },
  "reviews": {
    "allReviewsCount": 64844,
    "filteredReviewsCount": 44902,
    "ratedReviewsCount": 48099,
    "ceoRating": 0.77,
    "ceoRatingsCount": 8223,
    "businessOutlookRating": 0.76,
    "compensationAndBenefitsRating": 4.4,
    "cultureAndValuesRating": 4.2,
    "careerOpportunitiesRating": 4.1,
    "overallRating": 4.3,
    "recommendToFriendRating": 0.85,
    "seniorManagementRating": 3.8,
    "workLifeBalanceRating": 4.2,
    "reviewCount": 47989,
    "diversityAndInclusionRating": 4.3,
    "rating_distribution": {
      "overall": {
        "5": 13501,
        "4": 6288,
        "3": 2312,
        "2": 570,
        "1": 595
      },
      "cultureAndValues": {
        "5": 6953,
        "4": 3128,
        "3": 1623,
        "2": 596,
        "1": 565
      },
      "careerOpportunities": {
        "5": 6787,
        "4": 3409,
        "3": 1927,
        "2": 678,
        "1": 532
      },
      "workLifeBalance": {
        "5": 6729,
        "4": 3111,
        "3": 1759,
        "2": 637,
        "1": 533
      },
      "seniorManagement": {
        "5": 5303,
        "4": 3252,
        "3": 2200,
        "2": 943,
        "1": 1024
      },
      "compensationAndBenefits": {
        "5": 8134,
        "4": 3227,
        "3": 1098,
        "2": 254,
        "1": 293
      },
      "diversityAndInclusion": {
        "5": 7512,
        "4": 2910,
        "3": 1370,
        "2": 453,
        "1": 484
      },
      "recommendToFriend": {
        "WONTRECOMMEND": 1565,
        "RECOMMEND": 9093
      }
    }
  },
  "industry_reviews": {
    "overallRating": 3.85,
    "ceoRating": 0.75,
    "recommendToFriendRating": 0.7,
    "businessOutlookRating": 0.61,
    "cultureAndValuesRating": 3.72,
    "careerOpportunitiesRating": 3.53,
    "workLifeBalanceRating": 3.8,
    "seniorManagementRating": 3.57,
    "compensationAndBenefitsRating": 3.49,
    "diversityAndInclusionRating": 3.86
  }
}
```

Review

```json
{
  "advice": "1) Don't dismiss emotional intelligence and adaptive leadership.  They're not just catch phases.  You need great managers and leaders in order to build great companies and develop great employees.  The people who may be brilliant at solving technical issues may not be (and are most often, not) the best candidates for management. \r\n\r\n2) Do something about that work-ife balance.  Don't just have a bunch of pow-wows and tech talks and discussions about it.  Leadership should actually model it.  Consider re-evaluating how work is done; what processes are in place that are inefficient and ineffective and need to be updated or removed?  \r\n\r\n3) Don't forget that there is already a pool of incredibly talented people within the company.  If career development is really a goal at Google, then do it.  Don't just hire from the outside.  Take the time to help your employees develop their careers - then maybe you won't lose some of the great ones, and maybe you'll have prevent some of that burn out and disillusionment.",
  "adviceOriginal": null,
  "cons": "1) Work/life balance.  What balance?  All those perks and benefits are an illusion.  They keep you at work and they help you to be more productive.  I've never met anybody at Google who actually time off on weekends or on vacations.  You may not hear management say, \"You have to work on weekends/vacations\" but, they set the culture by doing so - and it inevitably trickles down.  I don't know if Google inadvertently hires the work-a-holics or if they create work-a-holics in us.  Regardless, I have seen way too many of the following: marriages fall apart, colleagues choosing work and projects over family, colleagues getting physically sick and ill because of stress, colleagues crying while at work because of the stress, colleagues shooting out emails at midnight, 1am, 2am, 3am.  It is absolutely ridiculous and something needs to change.\r\n\r\n2) Poor management.  I think the issue is that, a majority of people love Google because they get to work on interesting technical problems - and these are the people that see little value in learning how to develop emotional intelligence.  Perhaps they enjoy technical problems because people are too \"difficult.\"  People are promoted into management positions - not because they actually know how to lead/manage, but because they happen to be smart or because there is no other path to grow into.  So there is a layer of intelligent individuals who are horrible managers and leaders.  Yet, there is no value system to actually do anything about that because \"emotional intelligence\" or \"adaptive leadership\" are not taken seriously.\r\n\r\n3) Jerks.  Sure, there are a lot of brilliant people - but, sadly, there are also a lot of jerks (and, many times, they are one and the same).  Years ago, that wasn't the case.  I don't know if the pool of candidates is getting smaller, or maybe all the folks with great personalities cashed out and left, or maybe people are getting burned out and it's wearing on their personality and patience.  I've heard stories of managers straight-up cussing out their employees and intimidating/scaring their employees into compliance.\r\n\r\n4) It's a giant company now and, inevitably, it has become slower moving and is now layered with process and bureaucracy.  So many political battles, empire building, territory grabbing.  Google says, \"Don't be evil.\"  But, that practice doesn't seem to be put into place when it comes to internal practices.  :(",
  "consOriginal": null,
  "countHelpful": 3851,
  "countNotHelpful": 12,
  "employmentStatus": "REGULAR",
  "featured": false,
  "isCurrentJob": false,
  "languageId": "eng",
  "lengthOfEmployment": 9,
  "pros": "1) Food, food, food.  15+ cafes on main campus (MTV) alone.  Mini-kitchens, snacks, drinks, free breakfast/lunch/dinner, all day, errr'day.\r\n\r\n2) Benefits/perks.  Free 24:7 gym access (on MTV campus).  Free (self service) laundry (washer/dryer) available.  Bowling alley.  Volley ball pit.  Custom-built and exclusive employee use only outdoor sport park (MTV).  Free health/fitness assessments.  Dog-friendly.  Etc. etc. etc.\r\n\r\n3) Compensation.  In ~2010 or 2011, Google updated its compensation packages so that they were more competitive.  \r\n\r\n4) For the size of the organization (30K+), it has remained relatively innovative, nimble, and fast-paced and open with communication but, that is definitely changing (for the worse).\r\n\r\n5) With so many departments, focus areas, and products, *in theory*, you should have plenty of opportunity to grow your career (horizontally or vertically).  In practice, not true.  \r\n\r\n6)  You get to work with some of the brightest, most innovative and hard-working/diligent minds in the industry.  There's a \"con\" to that, too (see below).",
  "prosOriginal": null,
  "ratingBusinessOutlook": "NEGATIVE",
  "ratingCareerOpportunities": 3,
  "ratingCeo": "NO_OPINION",
  "ratingCompensationAndBenefits": 5,
  "ratingCultureAndValues": 3,
  "ratingDiversityAndInclusion": 0,
  "ratingOverall": 4,
  "ratingRecommendToFriend": "NEGATIVE",
  "ratingSeniorLeadership": 3,
  "ratingWorkLifeBalance": 2,
  "reviewDateTime": "2013-06-21T12:42:33.137",
  "reviewId": 2757802,
  "summary": "Moving at the speed of light, burn out is inevitable",
  "summaryOriginal": null,
  "translationMethod": null,
  "city": "Mountain View, CA",
  "jobtitle": "Program Manager"
}
```

Salary

```json
{
  "url": "https://www.glassdoor.com/Salary/Google-Software-Engineer-Salaries-E9079_D_KO7,24.htm",
  "jobtitle": "Software Engineer",
  "submitted": "49,802 salaries submitted",
  "open_positions": "41 open jobs",
  "open_positions_url": "/Jobs/Google-Software-Engineer-United-States-Jobs-EI_IE9079.0,6_KO7,24_IL.25,38.htm",
  "total_pay": "$229K - $352K",
  "period": "/yr",
  "label": ""
}
```

Interview

```json
{
  "id": 4168541,
  "advice": null,
  "countHelpful": 2493,
  "countNotHelpful": 3,
  "currentJobFlag": true,
  "declinedReason": null,
  "difficulty": "DIFFICULT",
  "durationDays": null,
  "employerResponses": [],
  "experience": "POSITIVE",
  "featured": false,
  "interviewDateTime": "2014-04-01T07:00:00",
  "negotiationDescription": "You can and should negotiate politely. You are in a stronger position if you have another offer, but even otherwise, you should ask for more of every type of payment!",
  "otherSource": null,
  "otherSteps": null,
  "outcome": "ACCEPT_OFFER",
  "processDescription": "Direct onsite because I interviewed in the past and did well that time. From the time I sent my resume to interview day: 2 weeks. From interview day to offer over the phone: 2 weeks.\r\n\r\nThe syllabus for the interviews is very clear and simple:\r\n1) Dynamic Programming\r\n2) Super recursion (permutation, combination,...2^n, m^n, n!...etc. type of program. (NP hard, NP programs)\r\n3) Probability related programs\r\n4) Graphs: BFS/DFS are usually enough\r\n5) All basic data structures from Arrays/Lists to circular queues, BSTs, Hash tables, B-Trees, and Red-Black trees, and all basic algorithms like sorting, binary search, median,...\r\n6) Problem solving ability at a level similar to TopCoder Division 1, 250 points. If you can consistently solve these, then you are almost sure to get in with 2-weeks brush up.\r\n7) Review all old interview questions in Glassdoor to get a feel. If you can solve 95% of them at home (including coding them up quickly and testing them out in a debugger + editor setup), you are in good shape.\r\n8) Practice coding--write often and write a lot. If you can think of a solution, you should be able to code it easily...without much thought.\r\n9) Very good to have for design interview: distributed systems knowledge and practical experience. \r\n10) Good understanding of basic discrete math, computer architecture, basic math.\r\n11) Coursera courses and assignments give a lot of what you need to know.\r\n12) Note that all the above except the first 2 are useful in \"real life\" programming too! \r\n\r\nInterview 1:\r\nGraph related question and super recursion\r\n\r\nInterview 2:\r\nDesign discussion involving a distributed system with writes/reads going on at different sites in parallel.\r\n\r\nInterview 3:\r\nArray and Tree related questions\r\n\r\nInterview 4:\r\nDesigning a simple class to do something. Not hard, but not easy either. You need to know basic data structures very well to consider different designs and trade-offs.\r\n\r\nInterview 5:\r\nDynamic programming, \r\nComputer architecture and low level perf. enhancement question which requires knowledge of Trees, binary search, etc.\r\n\r\nAt the end, I wasn't tired and rather enjoyed the discussions. I think the key was long term preparation and time spent doing topcoder for several years (on and off as I enjoy solving the problems). \r\n\r\nConclusion: \"It's not the best who win the race; it's the best prepared who win it.\"",
  "reviewDateTime": "2014-05-04T20:53:03.517",
  "source": "EMPLOYEE_REFERRAL",
  "city": "",
  "jobtitle": "",
  "questions": []
}
```

Job

```json
{
  "listingId": 1009812821122,
  "jobTitleText": "Research Associate, Debug Science",
  "adOrderId": 1136043,
  "ageInDays": 4,
  "easyApply": false,
  "jobCountryId": 1,
  "jobLink": "https://www.glassdoor.com/partner/jobListing.htm?pos=102&ao=1136043&s=21&guid=00000198272906ff910382dae864ef49&src=GD_JOB_AD&t=ESR&vt=w&cs=1_98b09c6b&cb=1753003657216&jobListingId=1009812821122&jrtk=5-yul1-0-1j0jii1r5k3ft800-235aa4bdf848a707",
  "jobResultTrackingKey": "5-yul1-0-1j0jii1r5k3ft800-235aa4bdf848a707",
  "locationName": "South San Francisco, CA",
  "payCurrency": "USD",
  "payPeriod": "ANNUAL",
  "salary_min": 118000,
  "salary_max": 170000,
  "salarySource": "EMPLOYER_PROVIDED",
  "seoJobLink": "https://www.glassdoor.com/job-listing/research-associate-debug-science-google-JV_IC1147412_KO0,32_KE33,39.htm?jl=1009812821122"
}
```

# Actor input Schema

## `urls` (type: `array`):

Provide a glassdoor.com company url with /Overview/

## `feature` (type: `string`):

Select feature to extract data from

## `max_page` (type: `integer`):

Maximum depth to stop at, usefull for all features except 'overview' (0 = no limit)

## `max_retries` (type: `integer`):

0 = no retries

## `proxyConfiguration` (type: `object`):

The best option is usually US proxy for glassdoor.com  But you can also use your own proxies or no proxy

## Actor input object example

```json
{
  "urls": [
    {
      "url": "https://www.glassdoor.com/Overview/Working-at-Google-EI_IE9079.11,17.htm"
    }
  ],
  "feature": "overview",
  "max_page": 1,
  "max_retries": 5,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# 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": [
        {
            "url": "https://www.glassdoor.com/Overview/Working-at-Google-EI_IE9079.11,17.htm"
        }
    ],
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("saswave/glassdoor-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": [{ "url": "https://www.glassdoor.com/Overview/Working-at-Google-EI_IE9079.11,17.htm" }],
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("saswave/glassdoor-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": [
    {
      "url": "https://www.glassdoor.com/Overview/Working-at-Google-EI_IE9079.11,17.htm"
    }
  ],
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call saswave/glassdoor-company-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Glassdoor Company Scraper",
        "description": "Glassdoor scraper extract data from company glassdoor.com website at scale. OVERVIEW,  REVIEW, SALARIES, INTERVIEWS, JOBS. Collect and gather company infos and data. Scale and boost your HR insights,  market research and analytics",
        "version": "0.0",
        "x-build-id": "MGc8uB1DIaTBwbUDw"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/saswave~glassdoor-company-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-saswave-glassdoor-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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/saswave~glassdoor-company-scraper/runs": {
            "post": {
                "operationId": "runs-sync-saswave-glassdoor-company-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/saswave~glassdoor-company-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-saswave-glassdoor-company-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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",
                "required": [
                    "urls"
                ],
                "properties": {
                    "urls": {
                        "title": "Glassdoor Overview Company Url",
                        "type": "array",
                        "description": "Provide a glassdoor.com company url with /Overview/",
                        "items": {
                            "type": "object",
                            "required": [
                                "url"
                            ],
                            "properties": {
                                "url": {
                                    "type": "string",
                                    "title": "URL of a web page",
                                    "format": "uri"
                                }
                            }
                        }
                    },
                    "feature": {
                        "title": "Select Feature",
                        "enum": [
                            "overview",
                            "reviews",
                            "salaries",
                            "interviews",
                            "jobs"
                        ],
                        "type": "string",
                        "description": "Select feature to extract data from",
                        "default": "overview"
                    },
                    "max_page": {
                        "title": "Maximum page",
                        "minimum": 0,
                        "type": "integer",
                        "description": "Maximum depth to stop at, usefull for all features except 'overview' (0 = no limit)",
                        "default": 1
                    },
                    "max_retries": {
                        "title": "Maximum retries on error",
                        "minimum": 0,
                        "type": "integer",
                        "description": "0 = no retries",
                        "default": 5
                    },
                    "proxyConfiguration": {
                        "title": "Proxy configuration",
                        "type": "object",
                        "description": "The best option is usually US proxy for glassdoor.com  But you can also use your own proxies or no proxy"
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```
