01
Repositories and releases
Capture repositories and releases for technology adoption research and retain repository, organization, release, activity, and collection-time context in the output.
All Data API targets
Data API•Managed extraction
GitHub Scraper API
Convert GitHub repositories, releases, issues, pull requests, and organizations into software-ecosystem intelligence.
Structured output · Source-aware fields · Parser maintenance included
Available data
Map the GitHub views behind technology adoption research.
Create a structured picture of repository and owner identity, languages, topics, and license, and stars, forks, and watcher signals across repositories and releases, issues and pull requests, and organizations and contributor profiles, designed for technology adoption research. Compare languages, frameworks, topics, and repository momentum to understand where developer adoption is moving.
02
Issues and pull requests
Use issues and pull requests to support release and maintenance monitoring, with repository, organization, release, activity, and collection-time context attached to each record.
03
Organizations and contributor profiles
Turn organizations and contributor profiles into structured inputs for software ecosystem mapping; preserve repository, organization, release, activity, and collection-time context.
Business use cases
Use GitHub data where it creates the most value.
Move repository and owner identity, languages, topics, and license, and stars, forks, and watcher signals into the decisions behind technology adoption research and release and maintenance monitoring. Follow releases, issue activity, and pull-request flow across the open-source projects your products depend on.
Structured output
The GitHub fields behind technology adoption research.
Use one source-linked schema for repository and owner identity, languages, topics, and license, and stars, forks, and watcher signals and the repository, organization, release, activity, and collection-time context behind them. Connect organizations, repositories, contributors, and technologies to identify influential projects and integration opportunities.
01
Repository and owner identity
Anchor every GitHub record to repository and owner identity for matching, deduplication, and change tracking.
02
Languages, topics, and license
Track languages, topics, and license across representative GitHub records and refreshes.
03
Stars, forks, and watcher signals
Keep stars, forks, and watcher signals connected to its GitHub source view and collection context.
04
Release tags and publication dates
Attach release tags and publication dates to every GitHub record for time-series analysis and monitoring.
05
Commit and activity history
Keep commit and activity history in the output so GitHub records remain comparable over time.
06
Issue and pull-request states
Use issue and pull-request states to monitor how GitHub availability changes across selected views and refreshes.
07
Organization and contributor links
Use organization and contributor links to connect GitHub items with their visible seller, company, creator, employer, or provider context.
08
Project URL and update timestamp
Keep project URL and update timestamp in the output so GitHub records remain comparable over time.
How it works
Move organizations and contributor profiles into release and maintenance monitoring.
WebScrapingAPI turns issues and pull requests into repository and owner identity and languages, topics, and license records while maintaining collection and parsers.
- 01
Choose source views
Start with repositories and releases, issues and pull requests, and organizations and contributor profiles, then choose the repositories, organizations, releases, and contribution views required for technology adoption research.
- 02
Select data fields
Focus the output on Repository and owner identity, Languages, topics, and license, and the additional context your application uses.
- 03
Receive structured records
Send repository and owner identity, languages, topics, and license, and stars, forks, and watcher signals to software ecosystem, project, and technology-intelligence systems, with repository, organization, release, activity, and collection-time context attached.
- 04
Scale with managed quality
WebScrapingAPI maintains access, extraction logic, parsers, and product-level monitoring as your workload grows.
Managed maintenance
Keep GitHub records flowing for release and maintenance monitoring as source pages change.
We maintain issues and pull requests and organizations and contributor profiles, map repository and owner identity, languages, topics, and license, and stars, forks, and watcher signals, and monitor record quality for software ecosystem mapping.
Your team receives repository and owner identity, languages, topics, and license, and stars, forks, and watcher signals ready for technology adoption research.
WebScrapingAPI
Managed GitHub collection
- Repositories and releases access
- Repository and owner identity and Stars, forks, and watcher signals mapping
- Parser maintenance for issues and pull requests
- Quality monitoring for technology adoption research
Ready for your team
GitHub data built to move
- Apply Repository and owner identity and Stars, forks, and watcher signals to release and maintenance monitoring
- Connect issue and pull-request states to your applications
- Build release and maintenance monitoring into dashboards, models, or alerts
- Scale software ecosystem mapping by volume and refresh cadence
Get started
Get GitHub records built around repository and owner identity first.
Start with issues and pull requests and organizations and contributor profiles and see repository and owner identity, languages, topics, and license, and stars, forks, and watcher signals in structured output for release and maintenance monitoring.
Sample data
Start with representative GitHub records.
Choose repositories and releases and see repository and owner identity, languages, topics, and license, and stars, forks, and watcher signals in structured output shaped for technology adoption research.
Talk to a data expertFAQ
GitHub Scraper API FAQs.
Learn what data is available, how maintenance works, and how to get started.
What does the GitHub Scraper API cover?
GitHub Scraper API turns repositories and releases, issues and pull requests, and organizations and contributor profiles into structured records for technology adoption research, release and maintenance monitoring, and software ecosystem mapping.
Which GitHub pages or entities can I collect?
Choose from Repositories and releases, Issues and pull requests, and Organizations and contributor profiles, then select the repositories, organizations, releases, and contribution views and fields required for technology adoption research.
Which fields can GitHub records contain?
Available field families include Repository and owner identity, Languages, topics, and license, Stars, forks, and watcher signals, Release tags and publication dates, Commit and activity history, and Issue and pull-request states. Request a sample shaped around repository and owner identity, languages, topics, and license, and stars, forks, and watcher signals.
How do I start collecting GitHub data?
Start free or request sample GitHub data. Our team can help you choose the source views, fields, and delivery option that fit your workflow.
Who maintains GitHub source access and parsing?
WebScrapingAPI handles GitHub source access, extraction, parser maintenance, and product-level quality monitoring so your team can focus on technology adoption research.
How can GitHub data fit my existing workflow?
Send repository and owner identity, languages, topics, and license, and stars, forks, and watcher signals to software ecosystem, project, and technology-intelligence systems. Start with sample GitHub data, then scale volume and refresh cadence as your workflow grows.
How is GitHub Scraper API priced?
Pricing depends on source, volume, frequency, fields, and delivery method. Start free for an initial test or talk to a data expert for a plan matched to your workload.
Your GitHub data
Connect GitHub data to software ecosystem mapping.
Start with release and maintenance monitoring, or request sample GitHub records built around repository and owner identity, languages, topics, and license, and stars, forks, and watcher signals for software ecosystem mapping.