Github Project Contributor Finder API Skill

GitHub Project & Contributor Finder API Skill

📖 Brief

This skill utilizes BrowserAct's GitHub Project & Contributor Finder API to extract project details and contributor contact information from GitHub. Simply provide keywords, minimum stars, and an update date filter — BrowserAct traverses the search results, extracts repository metrics, and fetches detailed contributor profiles, returning it all directly via API without building crawler scripts or dealing with rate limits.

✨ Features

• No Hallucinations: Pre-set workflows avoid AI generative hallucinations, ensuring stable and precise data extraction.
• No Captcha Issues: No need to handle reCAPTCHA or other verification challenges.
• No IP Restrictions: No need to handle regional IP restrictions or geofencing.
• Faster Execution: Tasks execute faster compared to pure AI-driven browser automation solutions.
• Cost-Effective: Significantly lowers data acquisition costs compared to high-token-consuming AI solutions.

🔑 API Key Setup

Before running, check the BROWSERACT_API_KEY environment variable. If not set, do not take other measures; ask and wait for the user to provide it.

Agent must inform the user:

> "Since you haven't configured the BrowserAct API Key yet, please visit the BrowserAct Console to get your Key."

🛠️ Input Parameters

The agent should flexibly configure the following parameters based on user requirements:

• KeyWords
• Type: string
• Description: Keywords for searching repositories.
• Example: browser automation, react framework, machine learning
• Default: browser automation

• stars
• Type: number
• Description: Minimum number of stars the repository should have.
• Example: 100, 1000
• Default: 100

• updated
• Type: string
• Description: Filter repositories by the date they were last updated (format: YYYY-MM-DD).
• Example: 2026-01-01, 2025-06-01
• Default: 2026-01-01

• Page_Turns
• Type: number
• Description: Number of search result pages to paginate through. For example, if there are 39 pages and you want the first 2, input 2.
• Example: 1, 2
• Default: 1

• date_limit_per_page
• Type: number
• Description: Number of data items to extract per page in the search results list.
• Example: 5, 10
• Default: 5

🚀 Invocation Method

Agent should execute the following command to invoke the skill:

# Example invocation (all parameters)
python -u ./scripts/github_project_contributor_finder_api.py "browser automation" 100 "2026-01-01" 1 5

# Minimal invocation (only keywords, others use defaults)
python -u ./scripts/github_project_contributor_finder_api.py "react framework"

⏳ Execution Monitoring

Since this task involves automated browser operations, it may take several minutes. The script outputs timestamped status logs continuously (e.g., [14:30:05] Task Status: running).

Agent guidelines:

• Monitor the terminal output while waiting.
• As long as new status logs appear, the task is running normally; do not misjudge it as frozen.
• Only consider triggering retry if the status remains unchanged for a long time or output stops without a final result.

📊 Data Output

Upon successful execution, the script parses and prints the structured results from the API response.

Project Fields:

• repository_name: The name of the GitHub repository.
• repository_url: The URL link to the repository.
• repository_owner_name: The owner/creator of the repository.
• repository_description: A brief description of the repository.
• star_count: The number of stars the repository has received.

Contributor Fields:

• user_name: The GitHub username of the contributor.
• profile_url: The URL link to the contributor's profile.
• bio: The bio or short description of the contributor.
• repositories_summary: A summary of other repositories owned by the contributor.
• personal_website: The contributor's personal website link.
• twitter: The contributor's Twitter handle.

⚠️ Error Handling & Retry

If an error occurs during script execution (e.g., network fluctuations or task failure), the Agent should follow this logic:

• Check Output Content:
• If the output contains "Invalid authorization", it means the API Key is invalid or expired. Do not retry; guide the user to re-check and provide the correct API Key.
• If the output contains "concurrent" or "too many running tasks", it means the concurrent task limit has been reached. Do not retry; guide the user to upgrade their plan.

Agent must inform the user:

> "The current task cannot be executed because your BrowserAct account has reached the concurrent task limit. Please visit the BrowserAct Plan Upgrade Page to upgrade your plan."

• If the output does not contain the above error keywords but the task failed (e.g., output starts with Error: or returns empty results), the Agent should automatically re-execute the script once.

• Retry Limit:
• Automatic retry is limited to one time. If the second attempt fails, stop retrying and report the specific error to the user.

🌟 Typical Use Cases

• Tech Recruiting: Gather contributor profiles and social links from popular repositories to build candidate pipelines.
• Open-Source Discovery: Search for trending repositories by keywords and star count to find valuable projects.
• Developer Outreach: Collect personal websites and Twitter handles of active contributors for developer tool marketing.
• Community Building: Identify and connect with active open-source contributors in specific domains.
• Competitor Analysis: Monitor which developers contribute to competing projects.
• Partnership Scouting: Find repository owners for potential collaboration or sponsorship.
• Market Research: Analyze repository metrics and descriptions to understand technology trends.
• Lead Generation: Generate targeted leads for developer tools by finding projects with relevant tech stacks.
• Academic Research: Discover recently updated repositories in specific research areas.

10. Talent Mapping: Build a database of skilled developers based on their GitHub contributions and profiles.