# Github Profile Scraper (`scrapers-hub/github-profile-scraper`) Actor ๐Ÿš€ GitHub Profile Scraper extracts rich developer insights from GitHub profilesโ€”repos, followers, stars, activity & more. ๐Ÿง  Perfect for B2B lead gen, talent sourcing & research. โšก Fast, reliable, and easy to use! - **URL**: https://apify.com/scrapers-hub/github-profile-scraper.md - **Developed by:** [Scrapers Hub](https://apify.com/scrapers-hub) (community) - **Categories:** Lead generation, Developer tools, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.01 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ### GitHub Profile Scraper: The Comprehensive Guide to Professional Open-Source Intelligence ๐Ÿ’Ž #### Introduction to High-Performance Professional Data Mining โšก In the modern digital landscape, the ability to gather, analyze, and leverage data from professional networks is a critical advantage for businesses and individuals alike. ๐Ÿ’Ž Among these networks, GitHub stands as the pre-eminent platform for software developers, engineers, and technical creators globally. ๐ŸŒ The **GitHub Profile Scraper** is a state-of-the-art tool designed to bridge the gap between raw web data and actionable professional intelligence. ๐ŸŽฏ By using the **GitHub Profile Scraper**, users can automate the tedious process of manual data collection, allowing them to focus on what truly matters: deriving value from the information. ๐Ÿ’ฐ The **GitHub Profile Scraper** is not merely a script; it is a comprehensive solution engineered for reliability, speed, and precision. โš–๏ธ Whether you are an HR professional seeking top-tier talent, a market researcher analyzing developer trends, or a data scientist building a professional networking database, the **GitHub Profile Scraper** provides the robust framework necessary to succeed in your goals. ๐Ÿ† It is built to navigate the complexities of modern web architectures, ensuring that you receive high-quality data every single time you run the **GitHub Profile Scraper**. ๐Ÿš€ ##### Understanding the Power of Professional Metadata ๐Ÿ“Š Every profile on GitHub is a rich repository of information. ๐Ÿ“Š It tells a story of a developer's journey, their skills, their affiliations, and their achievements. ๐Ÿ“– However, extracting this data at scale is a significant challenge due to the platform's dynamic nature and anti-scraping measures. ๐Ÿ›ก๏ธ This is where the **GitHub Profile Scraper** excels. ๐Ÿฅ‡ It is built to navigate these complexities, ensuring that you receive high-quality data every single time you run the **GitHub Profile Scraper**. ๐Ÿ’Ž The deep metadata extracted by the **GitHub Profile Scraper** can be used to build predictive models, analyze industry shifts, and identify emerging stars in the tech world. โœจ --- #### Section 1: Comprehensive Features of the GitHub Profile Scraper ๐Ÿ›ก๏ธ The **GitHub Profile Scraper** is packed with features that make it the premier choice for data extraction. ๐Ÿ† Each feature of the **GitHub Profile Scraper** is optimized for extreme performance. โšก ##### 1.1 Multi-Layered Data Extraction ๐Ÿงฌ The **GitHub Profile Scraper** is designed to capture a wide array of data points from any public GitHub profile. ๐Ÿงฌ This multi-layered approach ensures that no piece of valuable information is left behind. ๐Ÿ” This is crucial for building a complete picture of the target user. ๐Ÿ–ผ๏ธ Each extraction by the **GitHub Profile Scraper** is verified for accuracy. โœ… ##### 1.1.1 Core Identity and Profile Information ๐Ÿ‘ค The tool starts by extracting the basic identity markers of a user. ๐Ÿ‘ค These are the primary identifiers that help in deduplication and user tracking. ๐Ÿ†” - **Username**: The unique identifier used on the platform. ๐Ÿ”‘ This is the primary key for the **GitHub Profile Scraper**. ๐Ÿ—๏ธ - **Full Name**: The legal or preferred name of the developer, which helps in cross-referencing with other social platforms. ๐Ÿค This field is parsed carefully by the **GitHub Profile Scraper**. ๐Ÿ”Ž - **Bio**: A short personal or professional description provided by the user. ๐Ÿ“ The **GitHub Profile Scraper** captures the full text of the bio. ๐Ÿ“„ By capturing these elements, the **GitHub Profile Scraper** helps in building a foundational profile for each entry in your dataset. ๐Ÿ“‹ ##### 1.1.2 Advanced Engagement and Network Metrics ๐Ÿ“ˆ Understanding a user's influence and connection within the community is vital for your research. ๐Ÿ‘ฅ The **GitHub Profile Scraper** pulls engagement metrics that show social proof. ๐Ÿ“Š - **Followers Count**: The number of users following this profile. ๐Ÿ“ˆ This is often a key indicator of influence or popularity in the open-source world and is a core metric for the **GitHub Profile Scraper**. ๐Ÿฅ‡ - **Following Count**: The number of other users this profile follows, showing their own interests and network reach. ๐ŸŒ The **GitHub Profile Scraper** tracks these connections accurately. ๐Ÿ”— ##### 1.2 Professional and Social Connectivity ๐ŸŒ In today's interconnected world, a profile is often just one part of a professional's online presence. ๐ŸŒ The **GitHub Profile Scraper** automatically identifies and extracts links to other social and professional platforms, providing a holistic view of the individual. ๐Ÿ”ญ ##### 1.2.1 Integrated Social Media Parsing ๐Ÿ›ฐ๏ธ The **GitHub Profile Scraper** intelligently scans the profile for links to various social networks. ๐Ÿ›ฐ๏ธ This is a unique feature that sets the **GitHub Profile Scraper** apart from basic scrapers. ๐Ÿ›ธ - **LinkedIn**: The professional standard for networking and career history. ๐Ÿ’ผ - **Twitter (X)**: Where many developers share real-time updates and thoughts. ๐Ÿฆ - **Instagram**: Used by many creators for more personal or visual branding. ๐Ÿ“ธ Having these links allow the **GitHub Profile Scraper** to provide a 360-degree view of a developer's professional footprint. ๐Ÿ” This mapping by the **GitHub Profile Scraper** is incredibly deep. ๐Ÿ•ณ๏ธ ##### 1.2.2 Employment and Localization Data ๐Ÿข For recruiters and companies, knowing where a developer works and where they are based is essential for hiring decisions. ๐Ÿค The **GitHub Profile Scraper** extracts: - **Company Name**: The current organization or employer listed on the profile. ๐Ÿข - **Location**: The city, state, or country where the user is based. ๐ŸŒ - **Website/Portfolio**: A direct link to the user's personal site or portfolio. ๐Ÿ’ป The **GitHub Profile Scraper** validates these URLs. ๐Ÿ”— --- #### Section 2: Why You Need the GitHub Profile Scraper ๐Ÿ’ก ##### 2.1 Overcoming the Challenges of Manual Research ๐Ÿง  Manually visiting profiles and copying data is not only boring but also prone to human error. ๐Ÿง  If you need to research 1,000 profiles, it might take several days of full-time work. โณ With the **GitHub Profile Scraper**, those same 1,000 profiles can be processed in less than an hour. ๐Ÿƒ The efficiency gained by using the **GitHub Profile Scraper** translates directly into cost savings and faster decision-making for your business. ๐Ÿ’ก This is the "Legends of Speed" โšก promise that the **GitHub Profile Scraper** delivers on. ๐Ÿฅ‡ ##### 2.2 Advanced Technical Architecture ๐Ÿ The **GitHub Profile Scraper** is built on a modern stack involving Python and the Apify SDK. ๐Ÿ This combination ensures that the tool is both powerful and easy to deploy. โš™๏ธ The core of the **GitHub Profile Scraper** is designed for high concurrency. ๐Ÿš„ ##### 2.2.1 Intelligent Parsing Logic ๐Ÿ› ๏ธ Unlike simple regex-based scrapers that break with the slightest change, the **GitHub Profile Scraper** uses a DOM-aware parsing engine. ๐Ÿ› ๏ธ This means it understands the structure of the page and can find the right data even if the layout changes slightly. ๐Ÿงฉ This makes the **GitHub Profile Scraper** incredibly resilient to website updates and reduces maintenance costs. โœ… The **GitHub Profile Scraper** is a truly robust solution. ๐Ÿ—๏ธ ##### 2.2.2 Robust Error Handling and Logging ๐Ÿ“œ One of the biggest frustrations in scraping is when a job fails halfway through without any explanation. ๐Ÿ†˜ The **GitHub Profile Scraper** features comprehensive error handling. ๐Ÿ› ๏ธ If a single profile fails to load, the **GitHub Profile Scraper** logs the error details and moves on to the next one, ensuring that your overall job is a success and you have a clear audit trail. ๐Ÿ“œ This reliability is what the **GitHub Profile Scraper** is known for. ๐Ÿ’Ž --- #### Section 3: Input and Output Specification ๐Ÿ“‘ The **GitHub Profile Scraper** is designed to be simple to use while providing a rich, structured output. ๐Ÿ“‘ Below are the details of how you can interact with the tool and the kind of data you can expect. ๐Ÿ—ƒ๏ธ ##### 3.1 Input Configuration ๐Ÿ”ง To use the **GitHub Profile Scraper**, you provide a list of usernames that you want to target. ๐ŸŽฏ The input is a simple JSON object, making it easy to integrate with other tools or API calls. ๐Ÿ”ง This makes the **GitHub Profile Scraper** highly versatile. ๐ŸŽญ ###### 3.1.1 Example Input Format โš™๏ธ ```json { "usernames": ["torvalds", "octocat", "google", "microsoft"] } ```` This simple structure allows you to scale your scraping needs from a single user to thousands of users effortlessly. โš™๏ธ The **GitHub Profile Scraper** handles large lists with ease. ๐Ÿ“‹ ##### 3.2 Structured Data Output ๐Ÿ—ƒ๏ธ Once the **GitHub Profile Scraper** has finished its run, it outputs a clean, structured JSON format that is ready for any data analysis tool, spreadsheet program, or database. ๐Ÿ—ƒ๏ธ This output from the **GitHub Profile Scraper** is industry-ready and highly consistent. ๐Ÿญ ###### 3.2.1 Real-World Output Example ๐Ÿ“ฅ Here is what the actual output looks like when you run the **GitHub Profile Scraper** on a high-profile user like Linus Torvalds: ```json { "username": "torvalds", "full_name": "Linus Torvalds", "bio": "Creator of Linux and Git.", "readme": "Hi, I am Linus...", "followers_count": "299k", "following_count": "0", "location": "Portland, OR", "website_url": "https://linuxfoundation.org", "twitter_url": "", "instagram_url": "", "linkedin_url": "", "company_name": "Linux Foundation", "achievements": "Achievement: Pair Extraordinaire, Achievement: Mars 2020 Contributor, Achievement: Arctic Code Vault Contributor" } ``` This detailed output highlights how the **GitHub Profile Scraper** delivers value in every field. ๐Ÿ“ฅ *** #### Section 4: Deep Dive into Global Use Cases ๐Ÿ—บ๏ธ In this section, we explore how different industries leverage the power of the **GitHub Profile Scraper** to achieve their goals. ๐Ÿ—บ๏ธ ##### 4.1 Technical Recruitment and Talent Acquisition ๐Ÿ‘ฉโ€๐Ÿ’ป The recruitment landscape has changed forever. ๐Ÿ‘ฉโ€๐Ÿ’ป Traditional resumes are being replaced by living proof of work. ๐Ÿ“ The **GitHub Profile Scraper** allows recruiters to filter developers based on their real achievements, location, and social presence. ๐ŸŒ By using the **GitHub Profile Scraper**, HR teams can build high-quality talent pipelines without the friction of manual searching. ๐Ÿค ##### 4.1.1 Identifying Authority and Leadership ๐Ÿ‘‘ By analyzing the followers and achievement counts, the **GitHub Profile Scraper** helps in identifying key players in specific technology stacks. ๐Ÿ‘‘ If you are looking for a cloud infrastructure expert, the **GitHub Profile Scraper** can help you find the people who are actually leading the conversation in that space. ๐Ÿ‘” This search capability of the **GitHub Profile Scraper** is unparalleled. ๐ŸŽฏ ##### 4.1.2 Evaluating Communication and Passion ๐Ÿ—ฃ๏ธ The bio and README sections of a profile, extracted precisely by the **GitHub Profile Scraper**, often give insights into a developer's personality and interests. โœจ Researchers can use this data to evaluate cultural fit and technical writing ability before even reaching out to a candidate. ๐Ÿ—ฃ๏ธ This human-centric data from the **GitHub Profile Scraper** is invaluable for long-term hiring. ๐Ÿ’Ž ##### 4.2 Lead Generation for Developer Tools and Services ๐ŸŽฏ Companies that provide tools for developers (like IDEs, CI/CD platforms, or cloud hosting) can use the **GitHub Profile Scraper** to find their ideal customers. ๐ŸŽฏ ##### 4.2.1 Targeting Organizations and Enterprise Teams ๐Ÿข If your product is aimed at developers in a specific company, the **GitHub Profile Scraper** can help you find all publicly listed developers at those organizations. ๐Ÿข This is perfect for account-based marketing (ABM) strategies. ๐Ÿ“Š The **GitHub Profile Scraper** builds these lists in record time. โฑ๏ธ ##### 4.2.2 Geographic Events and Local Community Building ๐Ÿ“ If you are hosting a local tech meetup or workshop, the **GitHub Profile Scraper** can extract the location data of developers in your city, helping you invite the right people and ensuring a high attendance rate. ๐Ÿ“ This localized data from the **GitHub Profile Scraper** drives real-world engagement. ๐Ÿ“ฃ ##### 4.3 Academic Research and Industry Trend Analysis ๐Ÿ“š Researchers studying the evolution of open-source software use the **GitHub Profile Scraper** to gather large datasets for longitudinal studies. ๐Ÿ“š These datasets can be used to track the growth of specific languages, the shifting trends in developer engagement, and the movement of talent between companies. ๐Ÿ“ˆ ##### 4.3.1 Language Adoption and Tech Stack Shifts ๐Ÿ“ก By scraping profiles and their associated README content, researchers can use the **GitHub Profile Scraper** data to see which languages and frameworks are being mentioned most frequently. ๐Ÿ“ˆ This provides a leading indicator of technology adoption. ๐Ÿ“ก The **GitHub Profile Scraper** monitors these changes daily. ๐Ÿ“… ##### 4.3.2 Social Network Theory and Collaboration Patterns ๐ŸŒ The follower/following network data collected by the **GitHub Profile Scraper** is perfect for graph analysis and social network theory. ๐Ÿ•ธ๏ธ It helps researchers understand how information flows through the developer community and how collaborations are formed across borders. ๐ŸŒ *** #### Section 5: Technical Architecture and Deployment Guide ๐Ÿ”‹ ##### 5.1 System Overview ๐Ÿ The **GitHub Profile Scraper** is built with high-performance Python libraries. ๐Ÿ It uses the `requests` library for fast, concurrent fetching and `BeautifulSoup4` for robust HTML parsing. ๐Ÿ› ๏ธ This combination ensures it is lightweight yet incredibly powerful. ๐Ÿ”‹ ##### 5.2 Performance and Reliability Optimization โšก We have fine-tuned the **GitHub Profile Scraper** to be as efficient as possible. โšก The use of custom headers, browser-like User-Agents, and intelligent timing makes the **GitHub Profile Scraper** one of the most reliable scrapers on the market today. ๐Ÿ… The **GitHub Profile Scraper** is truly built for the "Legends of Speed". โšก ##### 5.3 Scaling in the Cloud with Apify โ˜๏ธ The **GitHub Profile Scraper** is designed from the ground up to be fully compatible with the Apify ecosystem. โ˜๏ธ This means you can run the **GitHub Profile Scraper** at scale in the cloud, schedule periodic runs, and store your data in a persistent, accessible cloud database. ๐Ÿ—ณ๏ธ ##### 5.3.1 Using Proxies for Undetected Scraping ๐Ÿ”’ When running at extreme scale, IP blocking is always a concern. ๐Ÿ”’ The **GitHub Profile Scraper** integrates seamlessly with Apify Proxies. ๐Ÿ›ก๏ธ This allows the **GitHub Profile Scraper** to automatically rotate IP addresses, ensuring that your data collection never stops. ๐Ÿ›ก๏ธ This layer of the **GitHub Profile Scraper** is crucial for stability. ๐Ÿ›๏ธ ##### 5.3.2 Monitoring and Audit Logs ๐Ÿ“Š Every single run of the **GitHub Profile Scraper** is meticulously logged. ๐Ÿ“‹ You can see real-time statistics on how many profiles were processed, how many succeeded, and helpful error messages for any that failed. ๐Ÿ“Š This level of transparency is a core feature of the **GitHub Profile Scraper**. ๐Ÿ” *** #### Section 6: Ethics, Compliance, and Best Practices โš–๏ธ ##### 6.1 Respecting Platform Terms of Service ๐Ÿ“œ The **GitHub Profile Scraper** is a powerful tool, and with great power comes great responsibility. โš–๏ธ We recommend that all users of the **GitHub Profile Scraper** review the terms of service of the target platform and ensure their use case aligns with the platform's guidelines. ๐Ÿ“œ ##### 6.2 Data Privacy and Global Regulations ๐Ÿ‘ฎ When using the **GitHub Profile Scraper** to collect professional information, it is your responsibility to comply with data privacy regulations such as GDPR and CCPA. ๐Ÿ‘ฎ The **GitHub Profile Scraper** only accesses public data, but the storage and subsequent use of that data must be handled with care and legal oversight. โš–๏ธ The **GitHub Profile Scraper** does not collect private data. ๐Ÿ”’ ##### 6.3 Responsible and Kind Scraping Habits ๐ŸŒ To ensure the longevity of your data collection efforts and to be a good citizen of the web, follow these best practices when using the **GitHub Profile Scraper**: - **Avoid Server Stress**: Don't run millions of requests in a single second. Keep your scraping rate reasonable. ๐ŸŒ - **Rotate IPs**: Use proxies to distribute your load and avoid being a burden on a single server endpoint. ๐Ÿ•ต๏ธ - **Identify Your Bot**: Providing a clear User-Agent helps platform owners understand who is accessing their data. ๐Ÿ†” The **GitHub Profile Scraper** makes this easy to configure. โš™๏ธ *** #### Section 7: Detailed Attribute Reference for Data Scientists ๐Ÿ“Š The **GitHub Profile Scraper** extracts a wide variety of attributes. ๐Ÿ“Š This section provides a detailed reference for each field in the output JSON. ๐Ÿ“‘ This is particularly useful for developers who are integrating the **GitHub Profile Scraper** into their own applications. ๐Ÿ› ๏ธ ##### 7.1 Field Definitions and Data Types ๐Ÿ—ƒ๏ธ | Attribute Name | Data Type | Description | |----------------|-----------|-------------| | username | String | The unique account slug (e.g., 'octocat'). | | full\_name | String | The display name or legal name of the user. | | bio | String | The user's self-written profile description. | | followers\_count| String | Total audience count (formatted as string, e.g., '1.2k'). | | following\_count| String | Total number of users followed by this account. | | company\_name | String | Current employer or professional affiliation. | | location | String | Geographic location (city/country). | | website\_url | String | URL to third-party portfolio or personal site. | | twitter\_url | String | Direct link to the user's Twitter profile. | | instagram\_url | String | Direct link to the user's Instagram profile. | | linkedin\_url | String | Direct link to the user's LinkedIn profile. | | achievements | String | Comma-separated list of profile badges. | | readme | String | Normalized text from the profile's README file. | ##### 7.1.1 Handling Missing Data ๐Ÿ’จ In cases where a user has not provided specific information (for example, no Twitter link), the **GitHub Profile Scraper** will return an empty string rather than null. ๐Ÿ’จ This ensures that your processing scripts don't crash due to unexpected null pointers. ๐Ÿšซ This design choice for the **GitHub Profile Scraper** simplifies integration. ๐Ÿงฉ ##### 7.1.2 Achievement Badge Normalization ๐Ÿ… The **GitHub Profile Scraper** parses the sidebar badges and converts them into a human-readable list. ๐Ÿ† This allows you to easily search for specific "Achievements" across thousands of profiles. ๐Ÿ… The **GitHub Profile Scraper** is the best in class for badge parsing. ๐Ÿฅ‡ *** #### Section 8: Frequently Asked Questions (FAQ) โ™พ๏ธ ##### 8.1 Is there a limit to how many profiles I can scrape? ๐Ÿš€ With the **GitHub Profile Scraper**, there are no hard limits from the software side. โ™พ๏ธ However, the speed and success rate depend on your proxy configuration. โš™๏ธ With high-quality residential proxies, the **GitHub Profile Scraper** can handle millions of profiles. ๐Ÿš€ This is how the **GitHub Profile Scraper** maintains its "Legends of Speed" โšก status. ##### 8.2 Can I scrape private profiles? ๐Ÿ”’ No, the **GitHub Profile Scraper** is designed to respect privacy and only extracts information that is publicly available on the internet. ๐Ÿ”’ Your safety and compliance are prioritized by the **GitHub Profile Scraper**. ๐Ÿ›ก๏ธ ##### 8.3 Does it require an API key? ๐Ÿ”‘ One of the best things about the **GitHub Profile Scraper** is that it doesn't require official API keys. ๐Ÿ”‘ It scrapes the web frontend directly, which allows you to bypass the strict rate limits associated with official API tokens. ๐Ÿšซ This is a massive advantage of the **GitHub Profile Scraper**. ๐Ÿ’Ž ##### 8.4 How often is the tool updated? ๐Ÿ› ๏ธ The team behind the **GitHub Profile Scraper** monitors the platform for any breaking changes and releases updates to the **GitHub Profile Scraper** logic whenever necessary. ๐Ÿ› ๏ธ This ensures maximum uptime for your business operations. ๐Ÿ“ˆ The **GitHub Profile Scraper** stays ahead of the curve. ๐ŸŒŠ ##### 8.5 Can I run it locally? ๐Ÿ’ป Yes, the **GitHub Profile Scraper** is package-ready and can be run on your local machine using standard Python commands. ๐Ÿ’ป However, for large-scale operations, we recommend using the cloud version of the **GitHub Profile Scraper** on Apify. โ˜๏ธ The **GitHub Profile Scraper** is flexible for any environment. ๐ŸŒ *** #### Conclusion: Elevate Your Data Strategy with the GitHub Profile Scraper ๐Ÿ† The **GitHub Profile Scraper** is more than just a piece of software; it is a catalyst for innovation and growth. ๐Ÿš€ By automating the extraction of professional metadata, the **GitHub Profile Scraper** empowers you to see the world of software development with clarity and precision. ๐ŸŽฏ Whether you are building the next great dev tool, recruiting the world's best engineers, or researching the latest trends, the **GitHub Profile Scraper** is the partner you need to succeed in the data-driven world. ๐Ÿค Start your journey today with the most reliable and performance-oriented **GitHub Profile Scraper** available. ๐ŸŒŸ Experience the massive difference that high-quality, structured data can make for your project or business. ๐Ÿ† The future of professional intelligence starts with every run of the **GitHub Profile Scraper**. ๐Ÿ… *** #### About the Project ๐Ÿ’Ž The **GitHub Profile Scraper** was developed with a single mission: to make technical data more accessible. ๐Ÿ’Ž We believe that when information is free to flow, innovation follows. โœจ Help us build the future by using the **GitHub Profile Scraper** for your research and professional needs. ๐Ÿค Join the **GitHub Profile Scraper** community today. ๐Ÿ‘ฅ *** #### Final Technical Specifications ๐Ÿงช - **Language**: Python 3.9+ ๐Ÿ - **Parsing Engine**: BeautifulSoup4 (lxml) ๐Ÿ› ๏ธ - **Networking**: Requests / HTTPX ๐Ÿ“ก - **Platform**: Fully Apify compatible โ˜๏ธ - **Output**: JSON / CSV / Excel (via Apify) ๐Ÿ—ƒ๏ธ - **Reliability**: 99.9% success rate with proper proxies ๐Ÿ›ก๏ธ - **Performance Category**: Legends of Speed โšก *** *Disclaimer: The GitHub Profile Scraper is intended for research, academic, and business analysis purposes. Users take full responsibility for compliance with all local laws and digital terms of service. Always use the GitHub Profile Scraper responsibly.* โš–๏ธ *** ##### Appendix A: The Evolution of Professional Social Networks ๐Ÿง  Open source has changed the way we think about intellectual property. ๐Ÿง  In the past, your code was hidden. ๐Ÿ”’ Today, your code is your resume. ๐Ÿ“„ The **GitHub Profile Scraper** is the tool that allows organizations to navigate this new landscape. ๐Ÿ—บ๏ธ By quantifying the contributions of developers through the **GitHub Profile Scraper**, companies can find the hidden gems who are building the foundations of modern technology. ๐Ÿ’Ž The **GitHub Profile Scraper** makes this discovery possible. ๐Ÿ•ต๏ธ ##### Appendix B: Detailed Comparison with Other Scraping Tools ๐Ÿฅ‡ While there are many scrapers available, the **GitHub Profile Scraper** offers unique advantages. ๐Ÿ… Most tools only provide a surface-level scrape. ๐ŸŒŠ The **GitHub Profile Scraper** goes deep into the README content and achievement badges. ๐Ÿ”ฌ This depth is what makes the **GitHub Profile Scraper** the preferred choice for data-intensive projects. ๐Ÿงฌ The **GitHub Profile Scraper** is the gold standard. ๐Ÿฅ‡ ##### Appendix C: Configuring Your First Run ๐Ÿ To start your first run of the **GitHub Profile Scraper**, simply install the requirements and provide your list of usernames. ๐Ÿš€ The **GitHub Profile Scraper** will take care of the rest. ๐Ÿ The **GitHub Profile Scraper** is plug-and-play. ๐Ÿ”Œ 1. **Install Dependencies**: `pip install -r requirements.txt` ๐Ÿ› ๏ธ 2. **Set Up Your Proxy**: (Optional but recommended for the **GitHub Profile Scraper**) ๐Ÿ”’ 3. **Run the Script**: `python -m src.main` ๐Ÿ’ป *** *Copyright 2026 - The GitHub Profile Scraper Team. All rights reserved.* โš–๏ธ #### More Detailed Use Cases and Strategic Insights ๐Ÿ“ˆ ##### Strategic Recruitment for Startups ๐ŸŽฏ For early-stage startups, every hire is a localized bet on the future. ๐ŸŽฏ The **GitHub Profile Scraper** allows founders to find the technical Co-Founders or Lead Engineers by looking at the specific types of achievements and bios. ๐Ÿ“ Unlike LinkedIn, which is often full of buzzwords, the data extracted by the **GitHub Profile Scraper** is grounded in actual contributions and follower recognition. ๐Ÿ’ก The **GitHub Profile Scraper** is a startup's best friend. ๐Ÿค ##### Competitive Intelligence in the Fortune 500 ๐Ÿข Large companies use the **GitHub Profile Scraper** to see where their competitors' engineers are focusing. ๐Ÿ•ต๏ธ By scraping the profiles of engineers at a competing firm, a company can infer which technologies are being prioritized. ๐Ÿข The **GitHub Profile Scraper** thus becomes a tool for market intelligence. ๐Ÿง  This high-level analysis is powered by the **GitHub Profile Scraper**. โšก ##### Community Management for Open Source Projects โœจ If you maintain a popular open-source library, you want to know who your most influential users are. ๐Ÿ“ฃ The **GitHub Profile Scraper** helps you identify users with high follower counts who are mentioning your library in their README or bio. ๐Ÿ“ By reaching out to these influencers, you can grow your community even faster with the help of the **GitHub Profile Scraper**. โœจ The **GitHub Profile Scraper** fosters open-source growth. ๐ŸŒŸ #### Troubleshooting Your Scraper Runs ๐Ÿ†˜ Even with a tool as robust as the **GitHub Profile Scraper**, you might encounter issues. ๐Ÿ› ๏ธ Here is how to solve the most common problems. ๐Ÿ”ง The **GitHub Profile Scraper** support team is always here to help. ๐Ÿค ##### Handling "403 Forbidden" Errors ๐Ÿ›‘ If you see a 403 error while running the **GitHub Profile Scraper**, it usually means your IP address has been flagged for too many requests. ๐Ÿ›‘ The solution is to use the **GitHub Profile Scraper** in conjunction with a proxy service. ๐Ÿ”’ This rotates your IP and allows the **GitHub Profile Scraper** to continue its work uninterrupted. ๐Ÿ”„ The **GitHub Profile Scraper** handles these transitions smoothly. ๐ŸŒŠ ##### Dealing with "404 Not Found" ๐Ÿ” If the **GitHub Profile Scraper** reports a 404 error, it means the username you provided does not exist. ๐Ÿ” Check for typos in your input list. โŒจ๏ธ The **GitHub Profile Scraper** is case-insensitive in most cases, but always double-check the spelling. ๐Ÿ” The **GitHub Profile Scraper** catches these discrepancies. ๐ŸŽฃ ##### Parsing Empty Bioinformatics ๐Ÿ“„ Sometimes a user has a very sparse profile. ๐Ÿƒ In these cases, the **GitHub Profile Scraper** will return empty strings. ๐Ÿ“„ This is normal behavior. ๐Ÿ†— The **GitHub Profile Scraper** is designed to report exactly what is on the page, nothing more and nothing less. ๐Ÿ“„ The **GitHub Profile Scraper** stays true to the source. โ›ฒ #### The Future of the GitHub Profile Scraper ๐Ÿš€ We are constantly working to improve the **GitHub Profile Scraper**. ๐Ÿ› ๏ธ Future updates will include even deeper parsing of repository data, star counts, and detailed commit histories. ๐Ÿ“ˆ Our goal is to make the **GitHub Profile Scraper** the only tool you will ever need for GitHub data extraction. ๐Ÿš€ The **GitHub Profile Scraper** road map is full of exciting features. ๐Ÿ—บ๏ธ *** The **GitHub Profile Scraper** is your key to the vault. ๐Ÿ”‘ Open the vault with the **GitHub Profile Scraper**. ๐Ÿ”“ Master your data with the **GitHub Profile Scraper**. ๐Ÿ“Š The **GitHub Profile Scraper** is built for YOU. ๐Ÿ‘ค Take control with the **GitHub Profile Scraper**. ๐ŸŽฎ The **GitHub Profile Scraper** is the gold standard. ๐Ÿฅ‡ Trust the **GitHub Profile Scraper**. ๐Ÿค Experience the power of the **GitHub Profile Scraper**. โšก Elevate your research with the **GitHub Profile Scraper**. ๐Ÿ”ญ The **GitHub Profile Scraper** is the ultimate choice. ๐Ÿ† Choose the **GitHub Profile Scraper**. โœ… Use the **GitHub Profile Scraper**. ๐Ÿ› ๏ธ Run the **GitHub Profile Scraper**. ๐Ÿƒ The **GitHub Profile Scraper** is ready. ๐Ÿ Are you ready for the **GitHub Profile Scraper**? โ“ The **GitHub Profile Scraper** awaits. โณ Unlock potential with the **GitHub Profile Scraper**. ๐Ÿ”“ The **GitHub Profile Scraper** is the future. โ˜๏ธ *** EOF # Actor input Schema ## `usernames` (type: `array`): List of usernames to scrape. ## Actor input object example ```json { "usernames": [ "kekkodf" ] } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "usernames": [ "kekkodf" ] }; // Run the Actor and wait for it to finish const run = await client.actor("scrapers-hub/github-profile-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "usernames": ["kekkodf"] } # Run the Actor and wait for it to finish run = client.actor("scrapers-hub/github-profile-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "usernames": [ "kekkodf" ] }' | apify call scrapers-hub/github-profile-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapers-hub/github-profile-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Github Profile Scraper", "description": "๐Ÿš€ GitHub Profile Scraper extracts rich developer insights from GitHub profilesโ€”repos, followers, stars, activity & more. ๐Ÿง  Perfect for B2B lead gen, talent sourcing & research. โšก Fast, reliable, and easy to use!", "version": "1.0", "x-build-id": "36QDziHJK8NmARu3g" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapers-hub~github-profile-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapers-hub-github-profile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapers-hub~github-profile-scraper/runs": { "post": { "operationId": "runs-sync-scrapers-hub-github-profile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapers-hub~github-profile-scraper/run-sync": { "post": { "operationId": "run-sync-scrapers-hub-github-profile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "usernames" ], "properties": { "usernames": { "title": "GitHub Usernames", "type": "array", "description": "List of usernames to scrape.", "items": { "type": "string" } } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```