ZoomInfo Company Scraper - Extract Company Data from ZoomInfo

ZoomInfo Company Scraper is a powerful tool to extract company data from ZoomInfo including company profiles, financials, employee counts, contact information, funding data, and similar companies. Get comprehensive business intelligence data in JSON, CSV, or Excel format with just a few clicks.

⚠️ Important Notice: ZoomInfo has aggressive anti-bot protection that blocks most automated scraping attempts, even with residential proxies. Success rates are typically low (0-30%). This scraper works best for small-scale, infrequent data collection. For large-scale needs, consider the official ZoomInfo API or alternative data sources.

What does ZoomInfo Company Scraper do?

This ZoomInfo scraper extracts detailed company information from ZoomInfo company profile pages. Simply provide ZoomInfo company URLs and the scraper will extract company names, revenue, employee counts, contact details, social media profiles, funding information, and similar companies. Perfect for lead generation, market research, and competitive intelligence.

Why scrape ZoomInfo company data?

ZoomInfo is one of the largest B2B contact databases with millions of company profiles. However, manually collecting this data is time-consuming. Our ZoomInfo API alternative automates the extraction process, allowing you to:

• 🎯 Lead Generation - Build targeted prospect lists with company contact information
• 📊 Market Research - Analyze companies in specific industries and markets
• 🔍 Competitive Intelligence - Track competitors and discover similar companies
• 💼 Sales Prospecting - Create comprehensive company databases for outreach
• 💰 Investment Research - Monitor funding rounds and company financials
• 📈 Business Development - Identify potential partners and acquisition targets

What data can you extract from ZoomInfo?

The ZoomInfo data extractor captures comprehensive company information:

Field	Description
Company Name	Full company name and legal name
Company ID	Unique ZoomInfo identifier
Description	Business description and overview
Revenue	Annual revenue (numeric and text format)
Employees	Total employee count
Website	Company website URL
Phone Number	Main contact phone number
Address	Headquarters address (street, city, state, zip, country)
Founded Year	Year the company was established
Stock Symbol	Ticker symbol for public companies
Industries	Industry classifications and categories
Social Networks	LinkedIn, Twitter, Facebook profile URLs
Similar Companies	Competitor and related company data
Funding Data	Investment rounds and total funding

How to scrape ZoomInfo company data

1. Click "Try for free" to start using the ZoomInfo scraper
2. Add ZoomInfo URLs - Paste company profile URLs (e.g., https://www.zoominfo.com/c/walmart-inc/155353090)
3. Configure settings - Set retry attempts and enable similar companies extraction
4. Run the scraper - Click "Start" and let the actor extract company data
5. Download results - Export data in JSON, CSV, Excel, or HTML format

Video Tutorial

Coming soon - Watch how to extract ZoomInfo company data in under 2 minutes!

Is it legal to scrape ZoomInfo?

Our scrapers are ethical and do not extract any private user data, such as personal email addresses, gender, or location. They only extract publicly available company information that ZoomInfo displays on their website. We believe that our scrapers, when used for ethical purposes by Apify users, are safe. However, you should be aware that your results could contain business data. You should not scrape data unless you have a legitimate business reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers. You can also read our blog post on the legality of web scraping.

How much does it cost to scrape ZoomInfo?

The ZoomInfo scraper uses a consumption-based pricing model. You only pay for the compute units (CUs) consumed during scraping. On average:

• Free tier: Test with 5 free Apify platform credits
• Small dataset: ~0.01-0.02 CU per company profile
• 100 companies: Approximately 1-2 CUs ($0.25-$0.50)
• 1,000 companies: Approximately 10-20 CUs ($2.50-$5.00)

Costs may vary based on:

• Number of companies scraped
• Similar companies extraction (adds processing time)
• Retry attempts for failed requests
• Proxy usage (residential proxies recommended)

💡 Tip: Start with a small test run to estimate costs for your specific use case.

Input

The ZoomInfo scraper accepts the following configuration. Click on the Input tab for detailed field descriptions.

Input Example

{
  "urls_or_companies_names": [
    "https://www.zoominfo.com/c/walmart-inc/155353090",
    "https://www.zoominfo.com/c/google-llc/16400573"
  ],
  "max_retries_per_url": 2,
  "include_similar_companies": true,
  "proxyGroup": "RESIDENTIAL"
}

Supported ZoomInfo URL formats

✅ Company Profile Pages:

• https://www.zoominfo.com/c/walmart-inc/155353090
• https://www.zoominfo.com/c/google-llc/16400573
• https://www.zoominfo.com/c/microsoft-corporation/138614

📝 URL Pattern: https://www.zoominfo.com/c/{company-name}/{company-id}

Output

You can download the dataset extracted by ZoomInfo Company Scraper in various formats such as JSON, HTML, CSV, or Excel.

Output Example

{
  "url": "https://www.zoominfo.com/c/walmart-inc/155353090",
  "id": "155353090",
  "name": "Walmart Inc.",
  "full_name": "Walmart Inc.",
  "description": "Walmart Inc. engages in retail and wholesale operations in various formats worldwide.",
  "revenue": 611289000000,
  "revenue_currency": "$",
  "revenue_text": "$611.3B",
  "website": "//www.walmart.com",
  "stock_symbol": "WMT",
  "address": {
    "street": "702 SW 8th St",
    "city": "Bentonville",
    "state": "AR",
    "zip": "72716",
    "country": "United States"
  },
  "number_of_employees": "2100000",
  "phone_number": "(479) 273-4000",
  "founding_year": 1962,
  "industries": ["Retail", "E-commerce"],
  "social_network_urls": [
    {
      "social_network_type": "LINKED_IN",
      "social_network_url": "https://www.linkedin.com/company/walmart"
    },
    {
      "social_network_type": "TWITTER",
      "social_network_url": "https://twitter.com/walmart"
    }
  ],
  "similar_company_urls": [
    {
      "id": "138615",
      "name": "Target Corporation",
      "employees": "450000",
      "revenue": "$100B+",
      "company_page_link": "/c/target-corporation/138615"
    }
  ]
}

Features

✨ Comprehensive Data Extraction

• Extract 15+ company data fields automatically
• Revenue parsing with B/M/K unit conversion
• Structured address parsing (street, city, state, zip)
• Social media profile detection (LinkedIn, Twitter, Facebook)

🛡️ Advanced Anti-Bot Protection

• User agent rotation for stealth
• Realistic browser headers and viewport sizes
• Random delays to mimic human behavior
• Residential proxy support for reliable access

🔄 Reliable Scraping

• Configurable retry logic for failed requests
• Graceful error handling with detailed logging
• Automatic proxy rotation
• Session management for consistent results

📊 Competitor Intelligence

• Extract similar companies automatically
• Get competitor employee counts and revenue
• Build competitive analysis datasets
• Track market positioning

💾 Flexible Export Options

• Download as JSON, CSV, Excel, or HTML
• API access for automated workflows
• Webhook integration for real-time updates
• Schedule regular scraping runs

Tips for scraping ZoomInfo efficiently

Optimize compute unit usage

• Start small: Test with 5-10 URLs before scaling up
• Disable similar companies: Set include_similar_companies: false if you don't need competitor data
• Use appropriate retries: Set max_retries_per_url to 2-3 (higher values increase costs)
• Batch processing: Process companies in batches of 50-100 for optimal performance

Improve success rate

• Use residential proxies: Essential for bypassing ZoomInfo's anti-bot measures
• Monitor runs: Check logs for blocked requests and adjust settings
• Verify URLs: Ensure all URLs follow the correct format before running
• Schedule off-peak: Run during off-peak hours for better success rates

Get accurate results

• Check data quality: Review first few results before processing large batches
• Handle errors: Failed requests are logged with error messages for debugging
• Update regularly: Re-scrape companies periodically as data changes
• Validate output: Cross-reference critical data points with other sources

Integration and automation

Apify Platform advantages

The ZoomInfo scraper runs on the Apify platform, giving you powerful automation capabilities:

• 🔗 API Access - Integrate with your CRM, database, or custom applications
• ⏰ Scheduling - Set up daily, weekly, or monthly scraping runs automatically
• 📧 Webhooks - Get notified when scraping completes or errors occur
• 🔌 Integrations - Connect to Google Sheets, Slack, Zapier, Make, and 1000+ apps
• 📊 Monitoring - Track usage, costs, and performance in real-time
• 🔄 Proxy Rotation - Automatic residential proxy management included

Use with other tools

• Export to Google Sheets - Automatically sync scraped data to spreadsheets
• Connect to CRM - Import leads directly into Salesforce, HubSpot, or Pipedrive
• Data enrichment - Combine with email finder tools for complete contact profiles
• Analytics - Feed data into Tableau, Power BI, or custom dashboards

FAQ

How does the ZoomInfo scraper compare to the official ZoomInfo API?

The ZoomInfo official API requires an enterprise subscription and has strict rate limits. Our scraper provides an affordable alternative that:

• ✅ No subscription required - pay only for what you use
• ✅ No rate limits - scrape as many companies as needed
• ✅ Flexible pricing - starts from $0.25 per 100 companies
• ✅ Easy to use - no API integration required

Can I scrape ZoomInfo data in Python?

Yes! You can use the Apify Python SDK to run this scraper from your Python scripts:

from apify_client import ApifyClient

client = ApifyClient('YOUR_API_TOKEN')
run = client.actor('YOUR_ACTOR_ID').call(run_input={
    'urls_or_companies_names': [
        'https://www.zoominfo.com/c/walmart-inc/155353090'
    ]
})

for item in client.dataset(run['defaultDatasetId']).iterate_items():
    print(item)

What if the scraper gets blocked (403 errors)?

ZoomInfo has aggressive anti-bot protection that can block requests even with residential proxies. If you see 403 or 429 errors:

Immediate fixes:

• ✅ Use residential proxies (required - datacenter proxies will be blocked)
• ✅ Reduce concurrency to 1 (scrape one company at a time)
• ✅ Increase delays between requests (10-20 seconds)
• ✅ Verify URLs are correct and accessible in a regular browser

Advanced solutions:

• 🔄 Try different proxy countries (US, UK, CA)
• ⏰ Schedule runs during off-peak hours (late night/early morning US time)
• 📉 Process smaller batches (5-10 companies per run)
• 🔁 Space out runs (wait 1-2 hours between batches)

Note: ZoomInfo actively blocks automated access. Success rates vary and some blocking is expected. This is normal behavior for sites with strong anti-bot protection.

Can I extract employee contact information?

This scraper extracts company-level data only, not individual employee contacts. It includes company phone numbers and general contact information that ZoomInfo displays publicly on company profile pages.

How often is ZoomInfo data updated?

ZoomInfo updates their database regularly. We recommend:

• Re-scraping companies monthly for general updates
• Re-scraping weekly for fast-growing companies or active monitoring
• Re-scraping quarterly for stable, established companies

I need a custom solution or have questions

• 💬 Issues tab: Report bugs or request features on our GitHub Issues
• 📧 Contact support: Reach out via the Apify platform for custom development
• 📚 Documentation: Check Apify Docs for platform guides
• 🎓 Tutorials: Visit Apify Academy for web scraping courses

Related Actors

Looking for more business intelligence tools? Check out these related scrapers:

• LinkedIn Company Scraper - Extract LinkedIn company profiles
• Crunchbase Scraper - Get startup funding and investor data
• Google Maps Scraper - Extract local business information
• Yellow Pages Scraper - Scrape business directories

Support

Need help or have questions?

• 📖 Check the Apify Documentation
• 💬 Join the Apify Discord Community
• 🐛 Report issues on the Issues tab
• 📧 Contact us through the Apify platform

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Made with ❤️ by the Apify community. Happy scraping!