GitHub Stargazers Export

Extract users who starred a GitHub repository, automatically. PhantomBuster's GitHub Stargazers Export Automation collects stargazer profiles from repositories you own, admin or collaborate, and exports them into a structured dataset. Perfect for recruiters building targeted developer lists, open-source maintainers tracking community growth, or teams identifying skilled talent by technology interest. No coding required, ready to run in minutes.

Check out the Tutorial for step-by-step setup.

Important: GitHub displays only the most recent 4800 stargazers per repository. The Phantom extracts all visible stargazers within this limit. For deeper profile enrichment including emails, bio, and follower counts, pair this Automation with GitHub Profile Scraper.

What you give / What you get

You provide GitHub repository URLs. PhantomBuster delivers back a clean list of users who starred those repositories, ready for outreach or analysis.

In short, you bring the repository URLs. PhantomBuster handles the rest, structuring your data for immediate action or further enrichment.

Note: This Phantom was previously known as the "GitHub Stargazers Extractor Phantom". We have now changed it to the "GitHub Stargazers Export Phantom" to make it even easier to use and understand.

What you can automate with GitHub Stargazers Export

Here's what PhantomBuster's GitHub Stargazers Export Automation can do automatically for you:

• Extract stargazer profiles from multiple GitHub repositories in one run

• Build lists of developers interested in specific technologies or frameworks

• Export structured data including Profile Url and Profile Image for each user

• Track community engagement and identify early adopters of open-source projects

• Generate targeted lead lists based on technology preference signals

• Chain with GitHub Profile Scraper to enrich profiles with emails and additional details

Perfect for recruiting teams, developer relations professionals, and open-source maintainers automating community analysis.

Note: This Phantom only works for repositories that you own, admin or collaborate.

How teams use PhantomBuster's GitHub Stargazers Export Automation

Recruiters, developer relations teams, and sales professionals use the GitHub Stargazers Export Automation to build warm, technology-focused prospect lists directly from GitHub.

• Developer outreach campaigns: Identify early adopters of new tools or libraries by exporting recent stargazers, then engage them as potential beta testers, community advocates, or reference customers.

• Open-source community growth: Track engagement patterns across related projects to find contributors, maintainers, or sponsors for your ecosystem.

• Skill-based prospecting: Stop relying on LinkedIn keyword searches. Find developers who've actively engaged with the exact technologies you're hiring for or selling to.

Workflow Ideas to Get You Started

PhantomBuster's GitHub Stargazers Export Automation becomes more effective when combined into Workflows. Try it free to start building your own sequences in minutes.

Workflow Example: Enrich developer leads from repository interest

GitHub → GitHub Stargazers Export → GitHub Profile Scraper

Why this works

GitHub limits visible stargazers to the most recent 4800 per repository. This Workflow captures these highly engaged users and prepares them for deeper enrichment.

Who it’s for

Tech recruiters, developer relations professionals, and technical founders.

How to build it

1. Identify a target GitHub repository relevant to your tech stack.

2. Run PhantomBuster's GitHub Stargazers Export Automation to extract the Profile Url and Profile Image of recent stargazers.

3. Feed the results into the GitHub Profile Scraper to find verified emails and deeper profile data.

Outcome

A clean, enriched list of developers who have actively demonstrated interest in specific technologies.

Workflow Example: Build targeted developer lists from search and repositories

GitHub User Search Export → GitHub Stargazers Export → Spreadsheet

Why this works

Combining broad search results with specific repository interest creates a highly qualified prospect list. You capture developers based on both self-reported skills and actual behavior.

Who it’s for

Sales reps targeting technical buyers and open-source maintainers.

How to build it

1. Run the GitHub User Search Export to find users matching specific criteria.

2. Use the GitHub Stargazers Export Automation to extract stargazers from repositories those users maintain.

3. Export the combined data to a spreadsheet to prioritize leads showing the highest engagement.

Outcome

A prioritized pipeline of technical leads scored by their active participation in relevant open-source projects.

Workflow Example: Map open-source community engagement

GitHub Stargazers Export → GitHub Contributors Export → CRM

Why this works

Stargazers show interest while contributors show deep expertise. Extracting both gives you a complete map of a technology ecosystem.

Who it’s for

Developer relations teams and technical recruiters.

How to build it

1. Extract the most recent stargazers using the GitHub Stargazers Export Automation.

2. Run the GitHub Contributors Export to identify the top 100 active builders in the same repository.

3. Combine the lists in your CRM to segment your outreach between early adopters and core maintainers.

Outcome

A segmented database of a repository community that allows you to tailor your messaging based on involvement.

Important: Follow safe usage. Safely scrape up to 1,500 profiles per day and use human-like pacing. See our safety resources for details.

Best practices

Get the most out of this Automation while staying safe and efficient.

GitHub is not only a version control hosting service; it's also a social network where developers hang out. If you're recruiting for specific skills, GitHub stargazers offer a more targeted signal than broad LinkedIn searches.

For best results, chain this Automation with GitHub Profile Scraper to enrich your list with emails, bio information, and company affiliations. This two-step workflow turns repository interest into actionable contact data.

Important limitation: Take note: GitHub only displays the most recent 4800 stargazers of a repository, so the Phantom won't be able to access any more than this for one respository. This limit is set by GitHub's platform, not PhantomBuster. For repositories with more than 4800 stars, you'll capture the most recent engagers, who are often the most active and reachable.

Recruiters, if you're specific about the skills you're looking for, stop LinkedIn and start reaching out to the right people in the right place. Extract the 1,000s latest people who starred projects in your tech stack, then use the data to personalize outreach and demonstrate genuine understanding of their interests.

Frequently asked questions

Here are the most common questions about using GitHub Stargazers Export, from setup and workflow to data quality and platform limits.

Where can I learn how to set up and run the GitHub Stargazers Export Automation?

The GitHub Stargazers Export tutorial walks you through configuration, input setup, and how to chain this Automation with GitHub Profile Scraper for full profile enrichment. You'll be extracting stargazers in minutes.

What data does the GitHub Stargazers Export Automation extract?

The Automation extracts Profile Url, Profile Image, and + 5 More fields including username, account type, and activity timestamps for each user who starred the repository. For deeper enrichment like emails, bio, and work history, use the output as input to GitHub Profile Scraper.

Why can I only export up to 4800 stargazers per repository?

GitHub's platform only displays the most recent 4800 stargazers for any repository. This is a GitHub limitation, not a PhantomBuster restriction. The good news: the most recent stargazers are often the most engaged and reachable, making them ideal prospects for outreach.

How do I get emails or additional profile details from stargazers?

Use the GitHub Stargazers Export output as input to GitHub Profile Scraper. This two-step workflow extracts stargazers first, then enriches each profile with emails, bio, company, location, and more. See the GitHub Profile Scraper tutorial for chaining instructions.

How does this compare to manual GitHub prospecting or static databases?

Manual prospecting takes hours and doesn't scale. Static databases go stale quickly. The GitHub Stargazers Export Automation pulls live data directly from GitHub in minutes, capturing real-time interest signals. You get fresh, accurate lists of developers who are actively engaged with the technologies you care about.

What other GitHub data can I extract with PhantomBuster?

Beyond stargazers, you can extract repository contributors with GitHub Contributors Export or search results with GitHub User Search Export. Each Automation targets a different audience source, letting you build comprehensive developer lists from multiple angles.

Is this Automation safe to use, and will it respect GitHub's terms?

PhantomBuster operates within GitHub's publicly visible data and respects platform rate limits. The Automation only extracts data that's already visible to logged-in users. To stay compliant, avoid excessive requests and follow GitHub's acceptable use guidelines. PhantomBuster handles rate limiting automatically to keep your account safe.

How quickly can I start extracting stargazers?

Setup takes minutes. Paste your repository URLs into the input field, configure your session, and launch the Automation. PhantomBuster handles the rest, delivering a structured CSV file of stargazers ready for export or enrichment. Try it free to see how fast you can build a targeted developer list.

Ready to try it?

Start building smarter developer prospect lists today.

Try the GitHub Stargazers Export Automation free. No setup or coding required. Extract 1,000s of stargazers from any repository you own, admin or collaborate on, then chain with GitHub Profile Scraper to enrich profiles with emails and contact details. Perfect for recruiters, sales teams, and developer relations professionals who need fresh, targeted leads based on real technology interest.