Pricing

from $1.00 / 1,000 github repo context bundle extracteds

GitHub Context Extractor (LLM-Ready Markdown, 5k req/hr)

Extract clean README markdown, stars, contributors, and release info for LLMs and RAG pipelines. Bring your own GitHub token to get 5,000 requests/hour instead of the 60/hour unauthenticated limit most scrapers hit after ~15 repos.

Pricing

from $1.00 / 1,000 github repo context bundle extracteds

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Nathan Carter

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GitHub Context Extractor (LLM-Ready)

Instant access to GitHub repository context for AI developers and RAG pipelines. This Actor bypasses the clutter of the GitHub UI to provide structured metadata and raw, sanitized Markdown—perfect for feeding into LLMs.

🎯 Why use this Actor?

Instead of manually navigating repositories or dealing with slow headless scrapers, this tool provides an instant "Context Bundle" for any public repo.

LLM-Optimized: Extracts the README as raw Markdown, stripped of broken image links.
High Reliability: Built on GitHub's public API—no fragile HTML selectors or client-side rendering issues.
Developer-Centric: Focuses on metrics that matter for AI evaluation (Stars, Issues, Last Commit, Contributors).

📊 What Data Do You Get?

Flat JSON, ready to drop straight into a prompt or vector store:

repoName, repoDescription, repoUrl: Core repo identity.
readmeMarkdown: Sanitized Markdown ready for prompt injection.
stars, forks, issuesCount, primaryLanguage, lastCommitDate: Core repo metadata.
topContributors: Top 5 contributors, each with username and avatarUrl.
latestReleaseTag, latestReleaseUrl: The latest release tag and its release notes link.

💡 Use Cases

RAG Pipelines: Automatically scrape repo documentation to index it into your vector database.
Library Evaluation: Feed a repo's README into Claude/GPT to see if it fits your project needs before installing.
Competitor Intelligence: Track the development velocity and contribution activity of open-source projects.

⚡ Pricing

Pay Per Event: $1.00 per 1,000 results.

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