Is it legal to scrape GitHub repositories?

Scrapernode only collects publicly available data from GitHub. We comply with applicable laws and platform terms. Our infrastructure handles rate limiting and respectful crawling automatically.

How much does it cost to scrape GitHub repositories?

Each repositories record costs 2 credits. Credits start at $9 for 3,000 credits (Starter plan). Volume discounts are available — the Scale plan offers 100,000 credits for $149.

What data fields are included when scraping GitHub repositories?

The GitHub Repositories scraper returns 20 structured fields including url, id, code_language, code, num_lines, user_name, and more. See the full data dictionary below for all available fields.

How fast is GitHub repositories scraping?

Fresh scrapes typically complete in under 60 seconds per batch of URLs. Quick Lookups return pre-collected data instantly. For bulk operations, you can submit thousands of URLs in a single job.

Can I automate GitHub scraping?

Yes. Scrapernode offers a REST API, webhooks, and native integrations with n8n, Make, and Zapier. You can schedule recurring scrapes or trigger them from your own applications.

GitHub

How to Scrape GitHub Repositories

Extract repositories data from GitHub at scale

Step-by-step guide

Choose your GitHub repositories scraper

Navigate to the GitHub Repositories scraper and select "Fresh Scrape" for real-time data or "Quick Lookup" for pre-collected records. Each record costs 2 credits.

Provide your GitHub input URLs

Paste the GitHub URLs you want to scrape — one per line, or upload a CSV. Scrapernode accepts direct profile links, search result URLs, and hashtag pages.

Launch your scraping job

Click "Start Extraction" to begin. Scrapernode handles proxy rotation, rate limiting, and anti-bot detection automatically. Jobs typically complete in under 60 seconds per batch.

Download structured data

Once complete, download your results as JSON or CSV. Each record includes 20 structured fields like url, id, code_language, code, and more.

Automate with webhooks or API

Set up webhooks to receive data automatically when jobs complete, or use the REST API for programmatic scraping. Integrate with n8n, Make, or Zapier for workflow automation.

Cost per record

2 credits

Output fields

20 fields

Output formats

JSON, CSV

Sample Output

Preview the data you'll receive — 5 sample records

Record 1 of 5

Url

sample_url

ACoAABcXYZ123

Code Language

sample_code_language

Code

sample_code

Num Lines

1,000

User Name

James K.

User Url

sample_user_url

Size

51-200

Size Unit

sample_size_unit

Size Num

1,000

Breadcrumbs

sample_breadcrumbs

Num Issues

1,000

Num Pull Requests

1,000

Num Projects

1,000

Num Fork

1,000

Num Stared

1,000

Last Feature

sample_last_feature

Latest Update

sample_latest_update

Website Url

sample_website_url

License

sample_license

Data Dictionary

20 fields returned per record

Repository web address (100.00% fill rate)

Unique repository ID (100.00% fill rate)

Main programming language used in the repository (79.55% fill rate)

Repository source code files (86.22% fill rate)

Sub-fields

file_nameTextName of the source code file

file_pathTextPath to the file in the repository

file_contentTextContent of the source code file

Total lines of code in the repository (100.00% fill rate)

Repository owner's username (100.00% fill rate)

Owner's GitHub profile URL (100.00% fill rate)

Repository size with units (100.00% fill rate)

Repository size measurement units (KB, MB, GB) (100.00% fill rate)

Repository size as a numeric value (100.00% fill rate)

Repository navigation path and hierarchy (100.00% fill rate)

Sub-fields

nameTextBreadcrumb navigation element name

urlTextURL of the breadcrumb navigation element

Total count of issues in the repository (100.00% fill rate)

Total count of pull requests (100.00% fill rate)

Number of associated GitHub projects (100.00% fill rate)

Number of times the repository has been forked (100.00% fill rate)

Number of stars the repository has received (100.00% fill rate)

Description of the latest feature or change (99.98% fill rate)

Date of the most recent repository update (99.99% fill rate)

Repository website URL from the About section (72.75% fill rate)

Repository license information (99.83% fill rate)

Sub-fields

nameTextLicense name

urlTextURL to the license details

Frequently Asked Questions

Common questions about How to Scrape GitHub Repositories

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Start extracting github repositories data in minutes. No code required — just paste your URLs and go.

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