{"categories":[{"label":"Software Development","url":"https://skillfed.io/packages/category/software-development/5"},{"label":"Libraries","url":"https://skillfed.io/packages/category/software-development-libraries/4"},{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/2"},{"label":"Python Modules","url":"https://skillfed.io/packages/category/software-development-libraries-python-modules/7"},{"label":"Internet","url":"https://skillfed.io/packages/category/internet/2"},{"label":"WWW/HTTP","url":"https://skillfed.io/packages/category/internet-www-http/2"},{"label":"Text Processing","url":"https://skillfed.io/packages/category/text-processing/2"},{"label":"Bio-Informatics","url":"https://skillfed.io/packages/category/scientific-engineering-bio-informatics"},{"label":"Medical Science Apps.","url":"https://skillfed.io/packages/category/scientific-engineering-medical-science-apps"},{"label":"Indexing/Search","url":"https://skillfed.io/packages/category/internet-www-http-indexing-search"},{"label":"Indexing","url":"https://skillfed.io/packages/category/text-processing-indexing"}],"enrichment":{"capability":"A Python SDK for web scraping, crawling, searching, and extracting structured data from websites and research papers via the Firecrawl API, returning results as clean Markdown, HTML, or typed objects.","skillfed_tags":["web-scraping","research-papers","async-capable"],"use_cases":["Extract clean Markdown from web pages for ingestion into RAG pipelines or LLM context windows.","Crawl entire websites to build searchable indexes or knowledge bases with configurable depth and URL limits.","Search academic papers across PubMed, bioRxiv, medRxiv, and arXiv, then retrieve specific passages answering a research question.","Scrape product pages to extract structured title, price, availability, and variant data deterministically.","Parse uploaded HTML, PDF, or DOCX files locally via the parse method for document extraction workflows.","Perform web search with optional simultaneous scraping of results to gather and process information in one call."],"what_it_does":"Firecrawl is a Python client for the Firecrawl web-scraping and search service. It wraps HTTP calls to a remote API that handles the complexity of fetching and parsing web content, returning results in multiple formats (Markdown, HTML, structured JSON, video, product data, menu data) or as typed Pydantic models. The SDK supports both synchronous and asynchronous operations, making it suitable for AI agents and data pipelines that need to extract clean, machine-readable content from websites.\n\nBeyond simple scraping, it offers site-wide crawling with depth and URL limits, web search with optional result scraping, and a specialized research-paper index search covering PubMed, bioRxiv, medRxiv, and arXiv abstracts. File parsing (HTML, PDF, DOCX) is supported via multipart upload. Pagination is handled automatically by default but can be controlled manually. The package depends on requests, httpx, websockets, aiohttp, pydantic, python-dotenv, and nest-asyncio for HTTP, async, and environment handling.","worth_installing":"Yes. Active maintenance (release 2 days old), no known vulnerabilities, low install friction, permissive MIT license, and support for Python 3.8+ make it a safe choice. The package is production-stable and well-suited for AI agents, research workflows, and data extraction pipelines. The main constraint is the dependency on an external Firecrawl API service and its associated costs and rate limits\u2014verify those fit your use case before committing."},"id":"firecrawl","links":{"html":"https://skillfed.io/packages/firecrawl","md":"https://skillfed.io/packages/firecrawl.md","pypi":"https://pypi.org/project/firecrawl/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-12","license_spdx":null,"license_treatment":"permissive","name":"firecrawl","python_support":"supports_current","summary":"Python SDK for the Firecrawl API: web scraping, crawling, web search, and scientific literature search over a research paper index of PubMed, bioRxiv, medRxiv and arXiv abstracts"},"popularity":{"monthly_downloads":1541354,"position":3785,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"4.35.0"}