GitHub powers the world’s software. From early-stage startups to enterprise tech giants, it’s where code lives, communities grow, and innovation begins. Every repository, contributor, and interaction reflects real trends in tools, technologies, and talent.
With our GitHub web scraper, you can tap into this rich, public dataset — to explore projects, track trends, or fuel your own data-driven tools.
You don’t need to code your own crawler or deal with rate limits. With our GitHub data scraper, you tell us what kind of repositories, contributors, or stats you need — and we deliver it in a clean, organized format like CSV, Excel, JSON, or any other that fits your workflow.
We’re not a SaaS tool or a browser extension. We act as your dedicated data extraction partner — focusing on delivering ready-to-use datasets for analysis, marketing, lead generation, product research, or competitive tracking.
Our GitHub web scraper captures structured information directly from public profiles and repositories. You can extract repository names, descriptions, topics, license types, visibility status, creation and update dates, and repository URLs. We also collect statistics like stars, forks, issues, pull requests, and watchers. Contributor data such as usernames, profile links, contribution counts, and timestamps is also available. This data helps you build a detailed understanding of projects, developers, and community activity across GitHub.
When we scrape GitHub, we go beyond just repositories. You can also collect programming languages used per project, organization details, README content, and file structures. Additional insights include commit history, branch names, release notes, and tags. For user or organization profiles, we can extract bios, followers, following counts, social links, pinned repositories, and contribution graphs. All of this data can be filtered, categorized, and tailored to your goals — whether you're building a dev tool, tracking market trends, or powering a research project.
GitHub is the world’s largest platform for hosting and collaborating on software development. Founded in 2008 and acquired by Microsoft in 2018, it serves over 100 million developers, companies, and open-source communities across the globe.
With more than 330 million repositories, GitHub is where new frameworks, tools, and technologies are built and maintained. The platform supports public and private repos, issue tracking, pull requests, CI/CD pipelines, and more — all under the domain github.com.
It operates globally, with users from every region and pricing available in multiple currencies (primarily USD). While the interface is mainly in English, GitHub hosts code and contributors from every country, working in all major programming languages.
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Developers
Customers
Pages extracted
Hours saved for our clients
Customized scraping setup for GitHub — faster and cheaper than building a solution from scratch.
Data limits (rows): up to 10%
Iterations: up to 3
Custom requirements: Yes
Data lifetime: up-to-date
Data quality checks: Yes
Delivery deadline: 1-2 working days
Output formats: CSV, JSON, XLSX
Delivery options: e-mail
A GitHub scraper is the fastest way to extract reliable developer and project data without navigating pages manually or dealing with API limits. Whether you’re analyzing competitors, building a developer database, sourcing contributors, or powering product research — scraping GitHub gives you direct access to rich, real-time signals. From trending frameworks to fast-growing repos, you get a clear view of what’s happening across the open-source ecosystem — instantly and at scale.
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Amazon provides valuable information gathered in one place: products, reviews, ratings, exclusive offers, news, etc. So scraping data from Amazon will help solve the problems of the time-consuming process of extracting data from e-commerce.
The use of sentiment analysis tools in business benefits not only companies but also their customers by allowing them to improve products and services, identify the strengths and weaknesses of competitors' products, and create targeted advertising.
ScrapeIt helps businesses get structured data from platforms like GitHub — quickly and without technical hurdles. We act as your business scraper, taking care of the filtering, collection, and formatting, so you don’t have to build tools or manage code. Whether you need GitHub data or datasets from other platforms in tech, eCommerce, real estate, or recruiting — we’re here to help.
You tell us what matters, and we export it into structured files — ready to use in your tools, dashboards, or workflows. Our GitHub web scraper is just one of many tailored services we offer to support your business.
Yes. We can filter listings based on programming language, topic tags, contributor location, or organization profile.
We extract details like repository names, contributors, stars, forks, activity levels, and more — all directly from public GitHub data.
Rarely. GitHub profiles usually don’t show phone or address data, unless it’s shared in a README or linked site.
Many profiles link to Twitter, LinkedIn, personal websites, or company domains — which we can extract if publicly visible.
GitHub doesn’t use a review system, but repo stars, forks, issues, and contributions can signal trust, traction, or team activity for a given company or project.
1. Make a request
You tell us which website(s) to scrape, what data to capture, how often to repeat etc.
2. Analysis
An expert analyzes the specs and proposes a lowest cost solution that fits your budget.
3. Work in progress
We configure, deploy and maintain jobs in our cloud to extract data with highest quality. Then we sample the data and send it to you for review.
4. You check the sample
If you are satisfied with the quality of the dataset sample, we finish the data collection and send you the final result.
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