🔍 Apollo Company Lead Scraper

Our Apollo Company Lead Scraper efficiently extracts high volumes of company leads up to your specified amount from a single Apollo search URL up to 50K per run.

Take advantage of our special launch pricing and experience enterprise-level performance.

🚀 With this scraper you pay just $0.3/1k leads (limited Offer ✅).

👉 Check out the people version of this Actor HERE

👉 Check out the rental version going for $10 monthly HERE

⚙️ How It Works

• Navigates search results from your specified URL
• Retrieve detailed data based on number of leads including:
  • Career details (full name, position, LinkedIn URL)
  • Contact channels (email)
  • Organization insights
  • Work experience
  • Social networking accounts=
• Supports pagination and automatic retry handling

🚀 Scraping Limits per run

The apollo plan determines the capacity you can scrape per run. For high volume scraping consider enabling proxy

• Free (New): Up to 1K per run
• Free (Legacy): Up to 10K per run
• Paid: Up to 50K per run

📌 Legacy account means an apollo account created before Jan 2025.

🍪 How to Use

1. Extract your session cookies from an authenticated Apollo.io browser session. Here's how to do it using the EditThisCookie extension:

• Install EditThisCookie extension for Chrome.

• Log in to your Apollo.io account in your browser.

• Click the EditThisCookie icon in your browser toolbar.

• Click "Export" icon (5th from left in the extension menu).

• Copy the entire JSON string.

• Paste the JSON string into the cookies field of your input directly.

• ✅ Make sure your Apollo session is active and logged in before exporting cookies.
  
  

2. Copy the URL from your Apollo search results and paste it into the “Search URL” field.
3. Select the Apollo plan you're currently using. This will help tailor the scraper for optimal performance
4. Enter the total number of leads you want to scrape. If left blank, a default value will be used.
5. Configure a proxy only if you notice performance issues or delays.

📌 Best Practices

• Use responsibly and in compliance with Apollo's terms of service.
• Cookies may expire over time; refresh them if needed.
• Keep your daily data extraction under an ideal record based on your apollo account to ensure sustainable and reliable scraping performance.
• Run the script from the same country IP as your usual Apollo login location to ensure stable and consistent access.
• Do not scrape simultaneously with same apollo account
• Do not use free email addresses like gmail, yahoo, outlook, etc to create free apollo accounts, that will give you lots of limitations.
• If the scraper fails before scraping all leads, check the Logs or include proxy for increased performance

📊 Sample Input

{
  "url": "https://app.apollo.io/#/companies?organizationIndustryTagIds[]=5567cd477369645401010000&page=1&sortAscending=false&sortByField=%5Bnone%5D",  
  "cookies": [ ... ]
  "apolloPlan": Free (New)
  "totalResults": 10000,
  "proxyConfig": {
    useApifyProxy: false
  }
}

📦 Sample Output

Each scraped lead is saved in a well structured format in the Apify dataset. Example fields include:

{
        "id": "5a9f57d8a6da98d932e9918f",
        "name": "WeWork",
        "website_url": "http://www.wework.com",
        "blog_url": null,
        "angellist_url": null,
        "linkedin_url": "http://www.linkedin.com/company/wework",
        "twitter_url": "https://twitter.com/wework",
        "facebook_url": "https://facebook.com/wework",
        "primary_phone": {
            "number": "+1 646-389-3922",
            "source": "Owler",
            "sanitized_number": "+16463893922"
        },
        "languages": [
            "English",
            "German",
            "Spanish",
            "French",
            "Chinese"
        ],
        "alexa_ranking": 13538,
        "phone": "+1 646-389-3922",
        "linkedin_uid": "1953412",
        "founded_year": 2010,
        "publicly_traded_symbol": "WE",
        "publicly_traded_exchange": "nasdaq",
        "logo_url": "https://zenprospect-production.s3.amazonaws.com/uploads/pictures/6862571521df530001e1e769/picture",
        "crunchbase_url": null,
        "primary_domain": "wework.com",
        "sanitized_phone": "+16463893922",
        "market_cap": "44.5M",
        "industry": "real estate",
        "estimated_num_employees": 4300,
        "keywords": [
            "coworking",
            "community",
            "collaboration",
            "connecting",
            "shared office space",
            "entrepreneur",
            "office space",
            "enterprise solutions",
            "flexible workspaces",
            "coworking spaces",
            "private offices",
            "meeting rooms",
            "turnkey offices"
        ],
        "organization_revenue_printed": "3.2B",
        "organization_revenue": 3245000000.0,
        "industries": [
            "real estate"
        ],
        "secondary_industries": [],
        "snippets_loaded": true,
        "industry_tag_id": "5567cd477369645401010000",
        "industry_tag_hash": {
            "real estate": "5567cd477369645401010000"
        },
        "retail_location_count": 21,
        "raw_address": "115 W. 18th Street, New York, NY 10011, US",
        "street_address": "115 West 18th Street",
        "city": "New York",
        "state": "New York",
        "postal_code": "10011",
        "country": "United States",
        "owned_by_organization_id": null,
        "short_description": "WeWork, founded in 2010 by Adam Neumann and Miguel McKelvey, is a leader in the coworking space industry. The company transforms underutilized office spaces into collaborative work environments, catering to freelancers, startups, and large enterprises. Headquartered in New York City, WeWork operates in major cities around the world, providing flexible workspaces that include private offices, hot desks, and meeting rooms equipped with amenities like high-speed internet and concierge services.\n\nWeWork also offers enterprise solutions tailored for large corporations, as well as WeWork Labs, which supports startups with mentorship and resources. The company has built a global network, allowing access to workspaces in over 40 countries. WeWork's business model focuses on leasing commercial real estate, renovating it, and subleasing at a premium, while fostering a community through shared amenities and events.",
        "suborganizations": [
            {
                "id": "556ce3e47369641271904700",
                "name": "Unomy (Acq. by WeWork)",
                "website_url": "http://www.unomy.com"
            },
            {
                "id": "5f4703070408bd011a857d39",
                "name": "Conductor",
                "website_url": "http://www.conductor.com"
            },
            {
                "id": "54a1271769702d979c374f00",
                "name": "Common Desk",
                "website_url": "http://www.thecommondesk.com"
            },
            {
                "id": "5ed1e3826b13780001f6a2b1",
                "name": "Spacemob",
                "website_url": "http://www.spacemob.co"
            },
            {
                "id": "59e57398a6da9803d4196491",
                "name": "Euclid (acquired by WeWork)",
                "website_url": "http://www.geteuclid.com"
            },
            {
                "id": "682156087aac62000138e27e",
                "name": "Welkio",
                "website_url": "http://www.welkio.com"
            },
            {
                "id": "5a9e14aaa6da98d97e7a278c",
                "name": "Waltz, Inc.",
                "website_url": "http://www.waltzapp.com"
            },
            {
                "id": "5b133f83a6da98dccdde9d44",
                "name": "naked Hub",
                "website_url": "http://www.nakedhub.com"
            },
            {
                "id": "61a07b15f7b4c500a4013818",
                "name": "Spacious.com",
                "website_url": "http://www.spacious.com"
            }
        ],
        "num_suborganizations": 9,
        "annual_revenue_printed": "3.2B",
        "annual_revenue": 3245000000.0,
        "technology_names": [
            "Amazon AWS",
            "CloudFlare Hosting",
            "Cloudflare DNS",
            "Drift",
        ],
        "current_technologies": [
            {
                "uid": "amazon_aws",
                "name": "Amazon AWS",
                "category": "Hosting"
            },
            {
                "uid": "cloudflare_hosting",
                "name": "CloudFlare Hosting",
                "category": "Hosting"
            },
            {
                "uid": "cloudflare_dns",
                "name": "Cloudflare DNS",
                "category": "Domain Name Services"
            }
        ],
        "org_chart_root_people_ids": [
            "54a6114d7468692abff9cdbf"
        ],
        "org_chart_sector": null,
        "org_chart_removed": null,
        "org_chart_show_department_filter": null,
        "employee_metrics": [
            {
                "start_date": "2023-07-01",
                "departments": [
                    {
                        "functions": null,
                        "new": 0,
                        "retained": 1941,
                        "churned": 63
                    },
                    {
                        "functions": "accounting",
                        "new": 0,
                        "retained": 51,
                        "churned": 0
                    },
                    {
                        "functions": "sales",
                        "new": 0,
                        "retained": 260,
                        "churned": 10
                    },
                    {
                        "functions": "operations",
                        "new": 0,
                        "retained": 208,
                        "churned": 7
                    },
                    {
                        "functions": "finance",
                        "new": 0,
                        "retained": 67,
                        "churned": 1
                    },
            }   
        ],
        "has_intent_signal_account": false,
        "intent_signal_account": null,
        "generic_org_insights": null,
        "show_intent": false,
        "detail_view_loaded": true
    }

🚀 Key Features & Capacity

• 🧠 Session-aware – Uses your logged-in Apollo session for personalized access
• ✅ Customizable limits – Specify exactly how many leads to collect.
• 🔄 Built-in retry logic – Recovers from transient failures automatically
• 📦 Structured output – Saves each lead as clean, ready-to-use format

🕒 Timeout

It can take up to 30 minutes to pull 1000 leads. Please configure your run limit accordingly.

🤝 Support

Need help? Open an issue on the "Issues" tab.