Use case · decision ranking
Document and content extraction
Convert heterogeneous documents or content into structured information.
10 reviewed matches, ranked by fit and deterministic project health.
#1
Editorialfirecrawl/firecrawl: The context API to search, scrape, and interact with the web at scale. 🔥.
Editorial94% fitThe reviewed data-extraction category fits pipelines that convert heterogeneous content into structured information.Compare this repository → ★ 171.9KTypeScriptAGPL-3.0data-extractionweb-scraping
#2
Editorialsoimort/you-get: :arrow_double_down: Dumb downloader that scrapes the web.
Editorial94% fitThe reviewed data-extraction category fits pipelines that convert heterogeneous content into structured information.Compare this repository → ★ 56.9KPythonNOASSERTIONdata-extraction
#3
Editorialairbytehq/airbyte: Open-source data movement for ELT pipelines and AI agents — from APIs, databases & files to warehouses, lakes, and AI applications. Both self-hosted and Cloud.
Editorial94% fitThe reviewed data-extraction category fits pipelines that convert heterogeneous content into structured information.Compare this repository → ★ 21.9KPythonNOASSERTIONapidata-extractionworkflow-automation
#4
Editorialclips/pattern: Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.
Editorial94% fitThe reviewed data-extraction category fits pipelines that convert heterogeneous content into structured information.Compare this repository → ★ 8.9KPythonBSD-3-Clausedata-extraction
#5
Editorialpathwaycom/pathway: Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
Editorial94% fitThe reviewed data-extraction category fits pipelines that convert heterogeneous content into structured information.Compare this repository → ★ 62.4KPythonNOASSERTIONdata-extractionrag
#6
EditorialMontFerret/ferret: Declarative data automation language and Go runtime for structured extraction workflows.
Editorial94% fitThe reviewed data-extraction category fits pipelines that convert heterogeneous content into structured information.Compare this repository → ★ 6KGoApache-2.0data-extractionweb-scraping
#7
Editorialadbar/trafilatura: Python & Command-line tool to gather text and metadata on the Web: Crawling, scraping, extraction, output as CSV, JSON, HTML, MD, TXT, XML.
Editorial94% fitThe reviewed data-extraction category fits pipelines that convert heterogeneous content into structured information.Compare this repository → ★ 6.7KPythonApache-2.0data-extraction
#8
Editorialalirezamika/autoscraper: A Smart, Automatic, Fast and Lightweight Web Scraper for Python.
Editorial94% fitThe reviewed data-extraction category fits pipelines that convert heterogeneous content into structured information.Compare this repository → ★ 7.9KPythonMITdata-extractionweb-scraping
#9
Editorialdzhng/deep-research: An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models. The goal of this repo is to provide the simplest implementation of a deep research agent - e.g. an agent that can refine its research direction overtime and deep dive into a topic.
Editorial94% fitThe reviewed data-extraction category fits pipelines that convert heterogeneous content into structured information.Compare this repository → ★ 19.6KTypeScriptMITai-agentdata-extraction
#10
Editorialbrightdata/cli: Official Bright Data CLI - scrape, search, and extract structured web data directly from your terminal.
Editorial94% fitThe reviewed data-extraction category fits pipelines that convert heterogeneous content into structured information.Compare this repository → ★ 6.4KTypeScriptMITdata-extractionweb-scraping