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Agent-Reach

Panniantong/Agent-Reach

AI Agent for Automated Web and Social Media Data Extraction

GraphCanon updated today · GitHub synced today · 27 views this month

75k stars6.4k forksLast push today Python MIT

Decision brief

Agent-Reach facilitates hands-off web and social media scraping via command line with no API costs for retrieving varied internet content.

Good fit when

  • When needing to bypass costly API fees for extensive social media platform data extraction
  • For quick setup using one CLI across multiple platforms like Reddit, Twitter, YouTube without API keys

Avoid when

  • If strict compliance with website scraping policies is critical due to its use of scraping techniques
  • When direct interaction through APIs for precision and reliability is preferred over scraping

Observed Jul 15, 2026 · Source: enrich:decision_facts

Verify the decision

Maintenance and security

Full trust report
Maintenance
Very active (0d since push)
As of today
Provenance
Not a fork · Personal account
As of today
Security (OSV)
No MCP manifest
As of 1mo

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install Agent-Reach
PyPI

How it fits your stack(6)

Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.

Relationship graph

Optional deeper exploration of typed edges and category neighbours.

Similar tools

Same-category neighbours not already linked as typed edges.

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

Agent-Reach equips AI agents with the ability to access and interact with large portions of the internet such as social media platforms and websites through command-line interface, bypassing API fees via scraping techniques.

Capability facts

CLI
CLI entrypoint

Source: pyproject.toml:[project.scripts] · Aug 25, 2026

Languages
python

Source: github.language+pyproject.toml · Aug 25, 2026

Categories

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Aug 25, 2026)

<a href="https://www.python.org/"><img src="https://img.shields.io/badge/Python-3.10+-green.svg?style=for-t
Source link

Tags

README

👁️ Agent Reach

给你的 AI Agent 一键装上互联网能力

当下最稳的接入方式,替你选好、装好、体检好——接入方式会换代,你不用操心

Trendshift GitHub Trending #1 Repository of the Day Star History Rank

MIT License Python 3.10+ GitHub Stars

快速开始 · English · 日本語 · 한국어 · 支持平台 · 设计理念


❤️赞助商

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为什么需要 Agent Reach?

AI Agent 已经能帮你写代码、改文档、管项目——但你让它去网上找点东西,它就抓瞎了:

  • 📺 "帮我看看这个 YouTube 教程讲了什么" → 看不了,拿不到字幕
  • 🐦 "帮我搜一下推特上大家怎么评价这个产品" → 搜不了,Twitter API 要付费
  • 📖 "去 Reddit 上看看有没有人遇到过同样的 bug" → 403 被封,服务器 IP 被拒
  • 📕 "帮我看看小红书上这个品的口碑" → 打不开,必须登录才能看
  • 📺 "B站上有个技术视频,帮我总结一下" → 拿不到,通用下载工具被 B站风控全面拦截
  • 🔍 "帮我在网上搜一下最新的 LLM 框架对比" → 没有好用的搜索,要么付费要么质量差
  • 🌐 "帮我看看这个网页写了啥" → 抓回来一堆 HTML 标签,根本没法读
  • 📦 "这个 GitHub 仓库是干嘛的?Issue 里说了什么?" → 能用,但认证配置很麻烦
  • 📡 "帮我订阅这几个 RSS 源,有更新告诉我" → 要自己装库写代码

这些不难实现,但是需要自己折腾配置

每个平台都有自己的门槛——要付费的 API、要绕过的封锁、要登录的账号、要清洗的数据。你要一个一个去踩坑、装工具、调配置,光是让 Agent 能读个推特就得折腾半天。

Agent Reach 把这件事变成一句话:

帮我安装

For agents

This page has a .md twin and JSON over the API.

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