You can access the GitHub Repo Codebase Packer: LLM Context & Tokens programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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            "default": [
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            "items": {
              "type": "string"
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          },
          "branch": {
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            "type": "string",
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            "default": ""
          },
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            "type": "array",
            "description": "File extensions to include in LLM context.",
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GitHub Repo Codebase Packer | LLM Prompt Context OpenAPI definition

OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.

OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.

By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.

You can download the OpenAPI definitions for GitHub Repo Codebase Packer: LLM Context & Tokens from the options below:

OpenAPI.json

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients:

GitHub Repo Codebase Packer: LLM Context & Tokens API in Python

GitHub Repo Codebase Packer: LLM Context & Tokens API in JavaScript

GitHub Repo Codebase Packer: LLM Context & Tokens API through CLI

GitHub Repo Codebase Packer: LLM Context & Tokens API

Github Repo User Scraper

inquisitive_sarangi/github-repo-scraper

Github Repo User Scraper is simple tool to extract users of a repo(s) like contributors, stargazers & watchers. You can also export listings to JSON/CSV or any other as format.

API Master

GitHub Scraper - Repos, Stars, Forks and Users

dami_studio/github-scraper

GitHub scraper: search repos and users with the query you would type into GitHub's search box, or paste a list of usernames or repos. Repository rows give stars, forks, issues, language, topics, licence and dates; user rows give name, bio, company, location and followers. $0.90 per 1,000 rows.

Dami's Studio

5.0

(2)

Github Trending Scraper

mohamedgb00714/github-trending-scraper

github trending scraper

mohamed el hadi msaid

Github Users Scraper

dtrungtin/github-users-scraper

Github Users Scraper is an Apify actor for extracting users or emails from Github. It allows you to extract all watchers, stargazers, and members from a repository page.

Tin

278

4.0

(1)

GitHub Issues Scraper

incontrovertible_gate/github-issues-actor

Scrape issues from any public GitHub repo - no API token needed. Get titles, authors, labels, dates & more. Perfect for competitor analysis, market research & lead generation. Fast, reliable, 25 issues/sec.

Netsrac

Github Contributors Scraper

janbuchar/github-contributors-scraper

Jan Buchar

5.0

(1)

GitHub Repos Scraper

gio21/github-repos-scraper

Search and scrape GitHub repositories. Extract stars, forks, language, license, topics, and more from the GitHub public API.

Gio

GitHub Scraper - Repo Code, Docs & Metadata to LLM Text

get_anything/github-repo-scraper

Chat with a repo: turn any GitHub repository into LLM-ready text - README, file tree and source files as clean text with token counts, plus repo metadata and optional issues. Feed a codebase to ChatGPT/Claude or a RAG pipeline. Official GitHub API, no token required. Export JSON, CSV or Markdown.

Get Anything

GitHub Repository Scraper

skystone_labs/github-repo-scraper

Extract GitHub repository metadata using GitHub API and scraping. Get repo info, stars, forks, language, topics, and README content. Perfect for research, analysis, and building datasets.