github-project-contributor-finder-api-skill
This skill leverages the BrowserAct API to search GitHub repositories by keywords, minimum star count, and update date, then automatically extracts project metrics and contributor contact information across multiple result pages. Use it when you need to find open-source projects in specific domains, identify active developers for recruitment, discover trending repositories, or gather developer contact details without managing rate limits or building custom scraping scripts.
git clone --depth 1 https://github.com/browser-act/skills /tmp/github-project-contributor-finder-api-skill && cp -r /tmp/github-project-contributor-finder-api-skill/solutions/lead-generation/github-project-contributor-finder-api-skill ~/.claude/skills/github-project-contributor-finder-api-skillSKILL.md
# 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
1. **No Hallucinations**: Pre-set workflows avoid AI generative hallucinations, ensuring stable and precise data extraction.
2. **No Captcha Issues**: No need to handle reCAPTCHA or other verification challenges.
3. **No IP Restrictions**: No need to handle regional IP restrictions or geofencing.
4. **Faster Execution**: Tasks execute faster compared to pure AI-driven browser automation solutions.
5. **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](https://www.browseract.com/reception/integrations) to get your Key."
## 🛠️ Input Parameters
The agent should flexibly configure the following parameters based on user requirements:
1. **KeyWords**
- **Type**: `string`
- **Description**: Keywords for searching repositories.
- **Example**: `browser automation`, `react framework`, `machine learning`
- **Default**: `browser automation`
2. **stars**
- **Type**: `number`
- **Description**: Minimum number of stars the repository should have.
- **Example**: `100`, `1000`
- **Default**: `100`
3. **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`
4. **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`
5. **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:
```bash
# 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:
1. **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](https://www.browseract.com/reception/recharge) 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**.
2. **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
1. **Tech Recruiting**: Gather contributor profiles and social links from popular repositories to build candidate pipelines.
2. **Open-Source Discovery**: Search for trending repositories by keywords and star count to find valuable projects.
3. **Developer Outreach**: Collect personal websites and Twitter handles of active contributors for developer tool marketing.
4. **Community Building**: Identify and connect with active open-source contributors in specific domains.
5. **Competitor Analysis**: Monitor which developers contriExtracts comprehensive wholesale product data from 1688.com product detail pages: title, tiered pricing, SKU variants with dimensions/weight, product images, seller info, shop scores, buyer protection, cross-border flags, product attributes, coupon/promotion data, and review stats. Use when user mentions 1688, 1688.com, wholesale China, alibaba wholesale, B2B China sourcing, Chinese wholesale scraper, 1688 product scrape, 1688 offer, 1688 detail, extract 1688 data, pull 1688 listings, get wholesale price, 1688 supplier info, factory stats 1688, 1688 SKU variants, 1688 product attributes, 1688 shop score, DSR score 1688, 1688 buyer protection, 1688 cross-border, 1688 dropship. Also applies to: scraping bulk product data from 1688 by offer ID list, monitoring 1688 supplier metrics, extracting 1688 pricing tiers for resale analysis.
Fetches complete Airbnb listing details for a given numeric listing ID via the internal GraphQL API, returning title, room type, description, amenities, photos, coordinates, city, house rules, highlights, ratings, review count, bedroom configuration, and property overview. Use when user mentions Airbnb listing details, Airbnb property info, Airbnb room details, get Airbnb listing data, Airbnb amenities list, Airbnb house rules, Airbnb property description, Airbnb detail page scraper, Airbnb rooms detail, Airbnb property page data, Airbnb listing info, fetch Airbnb room details, pull Airbnb listing.
Extracts Airbnb accommodation search results from a destination query via SSR-embedded data, returning listing ID, URL, name, coordinates, rating, price, photos, and badge info for each result, plus pagination cursors for multi-page retrieval. Use when user mentions Airbnb search results, Airbnb listings, vacation rental search, short-term rental listings, scrape Airbnb, get Airbnb data, find rentals on Airbnb, Airbnb destination search, Airbnb property list, Airbnb stays search, Airbnb accommodation results, pull Airbnb listings, collect Airbnb search data, Airbnb scraper, Airbnb search page extraction, Airbnb search by destination.
Amazon Alexa for Shopping Q&A automation: submits questions to Amazon's Alexa/Rufus AI shopping assistant and collects response text; supports optional keyword search context (navigate to search results page before asking for category-specific answers). Use when user mentions Amazon Alexa, Rufus, Amazon shopping assistant, Amazon AI chat, ask Amazon, Amazon Q&A, automate Alexa questions, Rufus chatbot, Amazon assistant automation, collect Alexa responses, bulk question submission to Amazon, keyword search context, category research. Also applies to extracting Amazon product recommendations from conversational AI, automating repeated queries to Amazon's AI shopping feature, collecting Alexa shopping responses at scale, or market research within a specific product category.
This skill helps users extract structured product details from Amazon using a specific ASIN (Amazon Standard Identification Number). Use this skill when the user asks to get Amazon product details by ASIN, lookup Amazon product title and price using ASIN, extract Amazon product ratings and reviews count for a specific ASIN, check Amazon product availability and current price, get Amazon product description and features via ASIN, enrich product catalog with Amazon data using ASIN, monitor Amazon product price changes for specific ASINs, retrieve Amazon product brand and material information, fetch Amazon product images and specifications by ASIN, validate Amazon ASIN and get product metadata.
This skill helps users extract structured best-selling product data from Amazon via the BrowserAct API. Agent should proactively apply this skill when users express needs like search for best selling products on Amazon, extract Amazon product data based on keywords, find top rated Amazon products, monitor Amazon competitor prices and sales, discover trending products on Amazon marketplace, extract Amazon product titles prices and ratings, gather Amazon product sales volume for market research, search Amazon best sellers in specific region, collect Amazon product reviews and promotion details, analyze Amazon product availability and badges, get Amazon product data for market analysis.
Amazon Best Sellers listing scraper: extract product cards from any Amazon Best Sellers (zgbs) or /gp/bestsellers/ category page — returns rank (position on chart), asin, title, url, image, imageAlt, price, stars, reviewCount, ratingRaw per item, plus category metadata (categoryName, categoryFullName, categoryUrl) and pagination state (currentPage, hasNextPage, nextPageUrl). Works across all Amazon regional TLDs (amazon.com, amazon.co.uk, amazon.de, amazon.co.jp, amazon.fr, amazon.it, amazon.es, amazon.ca, amazon.com.au, amazon.in, etc.). Use when user mentions Amazon Best Sellers, Amazon bestsellers, Amazon top 100, Amazon zgbs, Amazon /zgbs/, Amazon /gp/bestsellers/, Amazon Best Sellers Rank, Amazon BSR, Amazon top ranked products, Amazon top-selling products, Amazon chart, Amazon category ranking, Amazon best sellers by category, Amazon best sellers electronics, Amazon best sellers kitchen, Amazon best sellers toys, scrape Amazon bestsellers, extract Amazon top 100, Amazon rank scraper, Amazon best seller list, Amazon leaderboard, Amazon trending products, discover trending Amazon products, Amazon niche discovery, Amazon top ranked ASINs. Also applies to competitive intelligence via ranking snapshots, spotting up-and-coming products, sourcing bestseller ASINs for further enrichment, tracking rank changes over time, and building bestseller-per-category datasets.
This skill helps users extract basic product details other sellers prices and seller ratings from Amazon via ASIN automatically using the BrowserAct API. Agent should proactively apply this skill when users express needs like query Amazon buy box information, monitor Amazon product prices, extract Amazon product details by ASIN, check other sellers prices on Amazon, get Amazon seller ratings and feedback count, monitor buy box ownership for a specific ASIN, track Amazon fulfillment methods for competitors, compare Amazon product prices across different sellers, retrieve Amazon buy box availability status, analyze Amazon seller profile details.