With GitHub Search—part of the world’s leading code hosting and open-source platform—booming, are you wasting countless hours manually collecting project-related data such as repo names, descriptions, star counts, fork numbers, programming languages, update timestamps, developer info, and issue statuses? Faced with its massive repository of open-source content, spanning millions of projects, paginated results and multi-dimensional technical details, efficiently acquiring structured project data to find suitable open-source resources for developers or screen technical talent for recruiters has become a common challenge for developers, open-source contributors, tech teams, and technical recruiters. Say goodbye to tedious manual copy-and-paste and page-by-page recording of project details. BrowserAct will revolutionize the way you access GitHub Search project data.

What is BrowserAct Data Scraper ?

BrowserAct is a powerful automated data extraction tool that lets you easily scrape required data from any web page without programming knowledge. It can efficiently capture key project data from GitHub Search, including repo names, star counts, programming languages, developer info, and issue statuses. What can it do for you?

• GitHub Search Scraping: Our GitHub crawler intelligently extracts core project data. This includes repo names (e.g., “React Router,” “TensorFlow Examples”), star counts (e.g., 15k+, 50k+), fork numbers, programming languages (e.g., Python, JavaScript), update timestamps, developer profiles, and issue statuses. It covers all critical info to track open-source project dynamics.
• AI-Powered Field Suggestions: Using AI to identify GitHub page structures (search results pages, repo detail pages), it quickly suggests key fields like "repo name, star count, language, update time, developer info". No manual positioning—direct structured data for analysis.
• Ideal Users: Suitable for developers, open-source contributors, tech teams, and technical recruiters. It provides structured GitHub project data to drive decisions—like finding open-source resources and screening technical talent—or meet needs such as tracking project trends, evaluating code quality and identifying collaboration opportunities.

Features and Workflow Capabilities

• Input Parameters for Effective Conecte Imóvel Scraping. Detailed explanation of required input parameters, presented in a table for clarity:

Step 1: Create Workflow and Set Input Parameters

• Click the "Workflow" button in the left sidebar, then "Create" to name your workflow (e.g., "Financial Data Automation").
• Define customizable inputs for flexibility:

Target_Page
Target_Date_Repositories

Step 2: Add Navigation and Search Actions 📍

• Click the "+" icon to add actions. Start with "Visit Page" and enter "Visit /url" to direct the workflow to the specified URL, such as https://github.com/search?. BrowserAct's AI will automatically understand the page structure, powering your Forbes web scraper without hassle.

Step 3: Add "Extract Data" Action 📊

• Click "+" and select "Extract Data." In the description box, specify what to extract and set limits, such as:

• • Extract the user data - Summarize page resume if he had and add to "Summary" - add connection links to "Links" as list of maps ([{"Site" :"X" , link: "...", } ,{"Site" :"Instagram" , link: "...", }]) if there is no social media available add no [{"Site" :"NoSocial" , link: "NoSocial", }] - add Location to "Location"

• The AI will interpret your request and precisely scrape Rightmove houses list—no CSS selectors, no XPath, no coding required. This makes BrowserAct a seamless job scraper for scraping jobs from the internet.

Step 4: Add Output, Publish, and Run 📈

• Click "+" and select "Finish: Output Data." Choose CSV as the output format and enable "Output as a file" for easy downloading.

• Click "Publish" to save and finalize your Forbes scraper.

• Navigate to the "Run" section. Adjust parameters if Forbes (or use defaults), then click "Start" to execute the scrape.

Step 5: Download the Results

• Before downloading, you can preview the scraped results to see if they meet your expectations.