GitHub Influencer Followers Research
Research the developer audience of selected GitHub influencers by collecting follower usernames, display names, bios, locations, profile URLs, and connection data. Use the results for developer relations, community analysis, technical marketing, and audience research.
Input
Output fields
Sign up on Apify or log in
The GitHub Followers Following Scraper - Low-costπ²π₯ππ₯ Actor is ready to run with the inputs already set for "GitHub Influencer Followers Research". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "GitHub Influencer Followers Research" task
The GitHub Followers Following Scraper - Low-costπ²π₯ππ₯ Actor will start running based on the input automatically. You can also change all the input fields, like profile urls (bulk) π₯, scrape type π, and more, to match your specific use case.
Receive the "GitHub Influencer Followers Research" output
Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as username, display name, avatar πΈ, and more.
Integrate into your workflow
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "GitHub Influencer Followers Research" task via API.
