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h4ckf0r0day/awesome-ai-web-scraping

Analysis updated 2026-06-24

34Audience · developerComplexity · 1/5Setup · easy

TLDR

Curated awesome list of tools and services that combine AI or large language models with web scraping, covering frameworks, hosted APIs, and browser infra.

Mindmap

mindmap
  root((awesome-ai-web-scraping))
    Inputs
      Reader queries
      Tool comparisons
    Outputs
      Curated links
      Section index
    Use Cases
      Pick a scraper
      Compare hosted APIs
      Find browser infra
      Survey the space
    Tech Stack
      Markdown
      Awesome list
Click or tap to explore — scroll the page freely

Code map

Detail Auto

An interactive map of this repo's files and how they connect — its source is parsed live in your browser. Click Visualize to build it.

filefunction / class

What do people build with it?

USE CASE 1

Pick an open-source AI scraping framework like Crawl4AI or Scrapling for a project

USE CASE 2

Compare hosted scraping APIs such as Firecrawl, Apify, and Bright Data

USE CASE 3

Find a headless browser infrastructure provider for an LLM agent

USE CASE 4

Survey the no-code AI scraping space before committing to a tool

What is it built with?

Markdown

How does it compare?

h4ckf0r0day/awesome-ai-web-scrapinghasanyilmaz/operonlywnl/ai-app-generation
Stars343434
LanguageTypeScriptJava
Setup difficultyeasyeasyhard
Complexity1/52/55/5
Audiencedevelopergeneraldeveloper

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · easy Time to first run · 5min

In plain English

This is an awesome list repository, a curated catalogue of tools and services that combine AI or large language models with web scraping. The point is to help someone find ready-made options for turning the web into clean text for LLMs, retrieval pipelines, or agent workflows. The README is clear about what does not belong here. General-purpose scrapers like Scrapy or BeautifulSoup are pointed at a different awesome list, and autonomous browser agents are pointed at yet another list. The catalogue is split into sections that follow the typical scraping stack. Frameworks and Libraries is the self-hosted, open-source layer. The list calls out Crawl4AI, Scrapling, ScrapeGraphAI, llm-scraper, Jina Reader, Stagehand, Browser-Use, Skyvern, LaVague, CyberScraper 2077, ScraperAI, SpiderCreator, and PulsarRPA, each with a one-line description of the approach and the languages or models supported. Hosted APIs is the managed equivalent. The README lists Firecrawl, Jina Reader, Diffbot, Apify, Bright Data, Zyte, ScrapingBee, ZenRows, Oxylabs, Spider, WebScraping.AI, Scrapeless, Kadoa, Expand.ai, and Reworkd, with notes on pricing tiers and what each is best at. Some target LLM-ready Markdown output, others sit closer to traditional scraping APIs with anti-bot bypass and proxy networks. Several supporting sections cover infrastructure pieces around those tools. Browser Infrastructure for AI covers Steel.dev, Browserbase, Hyperbrowser, Anchor Browser, Browserless, Obscura, and Browserable for the headless browser layer. No-Code AI Scrapers covers point-and-click tools like Browse AI and Bardeen. Further sections listed in the table of contents are MCP Servers for Scraping, Web Search APIs for LLMs, Proxy and Anti-Bot Infrastructure, Datasets, Benchmarks and Research, and Tutorials and Guides, plus a contributing section at the end. The repository itself contains no code, the language is reported as unknown. It exists as a single Markdown file with the standard Awesome badge, and it acts as a starting reference for someone evaluating which AI scraping tool fits their workflow.

Copy-paste prompts

Prompt 1
From awesome-ai-web-scraping, recommend a self-hosted framework that outputs LLM-ready Markdown for a small budget
Prompt 2
Compare Firecrawl, Jina Reader, and ScrapingBee for an LLM ingestion pipeline using awesome-ai-web-scraping as a reference
Prompt 3
Build a shortlist of browser infrastructure providers from the list for running an autonomous agent at scale
Prompt 4
Suggest entries from awesome-ai-web-scraping that fit an MCP server scraping use case

Frequently asked questions

What is awesome-ai-web-scraping?

Curated awesome list of tools and services that combine AI or large language models with web scraping, covering frameworks, hosted APIs, and browser infra.

How hard is awesome-ai-web-scraping to set up?

Setup difficulty is rated easy, with roughly 5min to a first successful run.

Who is awesome-ai-web-scraping for?

Mainly developer.

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