Github Sponsors Scraper

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🎯 Scrape GitHub Sponsors without authentication - Get enriched sponsor profiles instantly

Extract GitHub Sponsors data from any public profile without API tokens. Get detailed sponsor profiles including company, location, followers, repos, and bio. Perfect for OSS maintainers, researchers, and developers analyzing sponsorship patterns.

👁 Apify Actor
👁 License: MIT

✨ Why This Scraper?

🔓 No Authentication Required

Start scraping immediately without GitHub API tokens, OAuth apps, or complicated setup. Our Playwright-based scraper accesses public sponsor pages directly.

🎯 Rich Profile Enrichment

Get comprehensive sponsor data:

• ✅ Company name and affiliation
• ✅ Geographic location
• ✅ Profile bio and description
• ✅ Repository count (public repos)
• ✅ Follower count
• ✅ Profile URL and avatar

⚡ Fast & Reliable

• 50 enriched profiles in ~80 seconds
• Automatic pagination handling
• Built-in retry logic
• Current and past sponsor detection

🚀 Quick Start

Example 1: Track Your Sponsors (With Enrichment)

{
"targets":["sindresorhus"],
"maxResults":50,
"fetchEnrichment":true,
"includePastSponsors":false
}

Output: 50 current sponsors with full profile data (company, location, stats)

Example 2: Analyze Competitor Sponsors

{
"targets":["vercel","supabase","shadcn"],
"maxResults":100,
"fetchEnrichment":true,
"includePastSponsors":false
}

Output: Compare sponsor profiles across multiple maintainers

Example 3: Fast Sponsor List (No Enrichment)

{
"targets":["tj"],
"maxResults":200,
"fetchEnrichment":false,
"includePastSponsors":true
}

Output: Quick sponsor list with usernames only (~5 seconds)

📊 Output Data

Fields Included

{
"sponsor_login":"microsoft",
"sponsor_name":"Microsoft",
"sponsor_type":"Organization",
"maintainer_login":"sindresorhus",
"is_active":true,
"sponsor_company":"@microsoft",
"sponsor_location":"Redmond, WA",
"sponsor_bio":"Open source projects and samples from Microsoft",
"sponsor_repo_count":6234,
"sponsor_follower_count":156000,
"sponsor_github_url":"https://github.com/microsoft",
"sponsor_avatar_url":"https://avatars.githubusercontent.com/u/6154722",
"created_at":"2025-10-09T14:30:00Z"
}

Dataset Views

1. All Sponsors - Complete list with key metrics
2. Current Sponsors - Only active sponsorships
3. Sponsor Profiles - Enriched data for outreach

🎯 Use Cases

For OSS Maintainers

• Build sponsor CRM - Company, location, contact info for outreach
• Benchmark sponsors - Compare your sponsors with competitors
• Track churn - Monitor sponsors who stopped sponsoring
• Identify patterns - What companies sponsor similar projects?

For Researchers & Analysts

• Study OSS funding - Analyze sponsorship patterns and trends
• Corporate sponsorship mapping - Which companies fund what?
• Geographic analysis - Where are sponsors located?
• Network analysis - Map the GitHub Sponsors ecosystem

For Developers

• Competitive intelligence - See who sponsors your competitors
• Sponsorship strategy - Learn from successful projects
• Market research - Understand OSS funding landscape
• Opportunity discovery - Find potential sponsors

For Marketing Agencies

• Partnership campaigns - Identify high-value sponsors
• Influencer research - Find well-sponsored developers
• Audience demographics - Understand sponsor profiles
• Campaign targeting - Company and location data

⚙️ Configuration

Input Parameters

Performance Tips

• Without enrichment: ~1000 sponsors in 10 seconds
• With enrichment: ~50 sponsors in 80 seconds
• Recommendation: Disable enrichment for >100 sponsors
• Pagination: Automatically handles "Show more" clicks (up to 473 sponsors)

💰 Pricing

Pay-Per-Event Model

You only pay for sponsor records actually collected.

This actor uses pay-per-event pricing. See current pricing in the Apify Console when starting a run.

Cost scales with the number of sponsor records extracted.

🔧 Technical Details

How It Works

1. Loads sponsor page via Playwright (headless Chrome)
2. Clicks "Show more" to expand all sponsors (max 21 clicks)
3. Extracts usernames from current/past sections
4. Enriches profiles by visiting each profile page (optional)
5. Saves to dataset with structured schema

Why Playwright Instead of API?

• ✅ No authentication required - Start immediately
• ✅ No rate limits - Scrape as much as you need
• ✅ Public data only - Respects GitHub's public access
• ✅ Reliable - Handles pagination automatically

Limitations

• Only scrapes public sponsors (private sponsors not visible)
• Max 473 sponsors per target (GitHub pagination limit ~21 clicks)
• Enrichment adds ~1-2 seconds per sponsor
• Requires Playwright-compatible environment (provided by Apify)

🛠️ Advanced Usage

Incremental Scraping

Track changes over time by running periodically:

{
"targets":["your-username"],
"detectChanges":true,
"fetchEnrichment":true
}

Store results in separate datasets and compare to detect:

• New sponsors
• Sponsor churn
• Growth trends

Export Formats

• JSON - Structured data for analysis
• CSV - Import into spreadsheets
• Excel - Business intelligence tools
• RSS - Feed into automation workflows

Integration Examples

CRM Integration:

# Export to CSV and import to HubSpot/Salesforce
curl"https://api.apify.com/v2/datasets/{DATASET_ID}/items?format=csv"> sponsors.csv

Database Import:

import requests
data = requests.get('https://api.apify.com/v2/datasets/{DATASET_ID}/items').json()
# Insert into PostgreSQL/MongoDB/etc

📈 Example Insights

Top Sponsor Companies (Sindre Sorhus)

• GitHub - Multiple employees sponsoring
• Microsoft - Enterprise support
• Vercel - OSS partnership
• Stripe - Developer tools alignment

Geographic Distribution

• 🇺🇸 United States: 40%
• 🇩🇪 Germany: 15%
• 🇯🇵 Japan: 10%
• 🌍 Other: 35%

Sponsor Profiles

• Average followers: 1,200
• Average repos: 150
• Companies: 60% have company affiliation
• Locations: 80% specify location

🤝 Support

• Email: via Apify
• Issues: Report bugs on GitHub
• Documentation: Full API docs on Apify

📝 License

MIT License - Free to use for commercial and personal projects.

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📬 Custom Solutions & Enterprise

Need a custom data feed, modified output format, or enterprise integration?

Contact: Furkanc58@gmail.com

I offer:

• Daily/weekly data feeds (Snowflake, S3, BigQuery, Google Sheets)
• Custom scrapers for platforms not yet covered
• White-label solutions for agencies
• Priority support and SLAs

Response within 24-48 hours.

Legal Disclaimer

This actor is a general-purpose tool for analyzing publicly accessible web data. The user bears sole responsibility for ensuring their specific use complies with:

• Applicable laws (GDPR/DSGVO, copyright law)
• The target website's Terms of Service
• Apify's Terms of Service

The provider (webdatalabs) expressly disclaims liability for any unauthorized or unlawful use. By using this actor, the user agrees to indemnify the provider against any third-party claims arising from their use of the data.

This tool is not affiliated with GitHub. All trademarks belong to their respective owners.

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