GitHub Sponsors Scraper > 🎯 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. --- ## ✨ 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) json { "targets": ["sindresorhus"], "maxResults": 50, "fetchEnrichment": true, "includePastSponsors": false } Output: 50 current sponsors with full profile data (company, location, stats) ### Example 2: Analyze Competitor Sponsors json { "targets": ["vercel", "supabase", "shadcn"], "maxResults": 100, "fetchEnrichment": true, "includePastSponsors": false } Output: Compare sponsor profiles across multiple maintainers ### Example 3: Fast Sponsor List (No Enrichment) json { "targets": ["tj"], "maxResults": 200, "fetchEnrichment": false, "includePastSponsors": true } Output: Quick sponsor list with usernames only (~5 seconds) --- ## 📊 Output Data ### Fields Included json { "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 | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | targets | array | ["sindresorhus"] | GitHub usernames to scrape | | maxResults | integer | 50 | Max sponsors per target (1-10,000) | | fetchEnrichment | boolean | true | Enable profile enrichment | | includePastSponsors | boolean | false | Include inactive sponsors | | detectChanges | boolean | false | Track changes over time | | maxConcurrency | integer | 2 | Parallel targets (1-5) | ### 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: json { "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: bash # Export to CSV and import to HubSpot/Salesforce curl "https://api.apify.com/v2/datasets/{DATASET_ID}/items?format=csv" > sponsors.csv Database Import: python 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: kontakt@barrierefix.de - Issues: Report bugs on GitHub - Documentation: Full API docs on Apify --- ## 📝 License MIT License - Free to use for commercial and personal projects. --- ## 🔗 Explore More of Our Actors ### 🏢 Business Intelligence | Actor | Description | |-------|-------------| | Crunchbase Scraper | Extract company data and funding information for business intelligence | | Apify Store Radar | Monitor Apify Store actors for market intelligence | | Indeed Salary Analyzer | Get salary data for compensation benchmarking and HR analytics | ### 📰 Content & Publishing | Actor | Description | |-------|-------------| | Notion Marketplace Scraper | Scrape Notion templates and marketplace listings | | Ghost Newsletter Scraper | Extract Ghost newsletter content and subscriber data | | Farcaster Hub Scraper | Scrape Farcaster decentralized social network data | ### 💬 Social Media & Community | Actor | Description | |-------|-------------| | Reddit Scraper Pro | Monitor subreddits and track keywords with sentiment analysis | | Discord Scraper Pro | Extract Discord messages and chat history for community insights | --- ## Legal Disclaimer / Rechtlicher Hinweis EN: 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 (barrierefix) 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. DE: Dieser Actor ist ein allgemeines Werkzeug zur Analyse öffentlich zugänglicher Webdaten. Der Nutzer trägt die alleinige Verantwortung dafür, dass seine spezifische Nutzung den geltenden Gesetzen (DSGVO, Urheberrecht), den Nutzungsbedingungen der Zielwebsite und den Apify-Nutzungsbedingungen entspricht. Der Anbieter (barrierefix) schließt jegliche Haftung für unbefugte oder rechtswidrige Nutzung ausdrücklich aus. Mit der Nutzung dieses Actors erklärt sich der Nutzer bereit, den Anbieter von allen Ansprüchen Dritter freizustellen, die aus seiner Datennutzung entstehen. --- This tool is not affiliated with GitHub. All trademarks belong to their respective owners. ## 🔍 SEO Keywords GitHub Sponsors scraper, GitHub sponsorship data, OSS funding analysis, GitHub Sponsors API alternative, sponsor profile extraction, open source sponsorship tracking, GitHub Sponsors analytics, maintainer sponsor list, competitor sponsor analysis, GitHub funding research, sponsorship pattern analysis, OSS sustainability data, GitHub Sponsors without authentication, sponsor CRM data, GitHub sponsorship trends, Playwright GitHub scraper, GitHub Sponsors Playwright, scrape GitHub Sponsors, GitHub sponsorship demographics, open source sponsor tracking