Blog
Tutorials, comparisons, and insights for AI teams.
FireScraper Python SDK: Sync, Async, and LangChain Integration
The FireScraper Python SDK is now on PyPI. Use it to scrape websites from Python scripts, async pipelines, and LangChain RAG workflows with a single pip install.
Web Scraping for AI Agents: Feeding Data to Autonomous Workflows
How AI agents can use FireScraper's API, webhooks, and scheduled crawls to autonomously gather and refresh web data for their workflows.
How to Use Structured Extraction to Build a Knowledge Base
Define a JSON schema, point FireScraper at a website, and get typed, consistent data from every page — no post-processing required.
FireScraper vs Crawl4AI: Managed API vs Open Source
Comparing FireScraper's managed scraping platform with Crawl4AI's open-source framework — when to choose each for your AI data pipeline.
FireScraper vs Apify: Which Scraping API for AI Teams?
Comparing FireScraper and Apify — pricing, complexity, and which is the better fit for AI teams who need clean text for RAG pipelines.
FireScraper vs Firecrawl: Which Web Scraping API for Your RAG Pipeline?
An honest comparison of FireScraper and Firecrawl — pricing, features, and which is the better fit for AI teams building RAG pipelines.
Markdown vs JSONL vs CSV: Choosing the Right Export Format for Your LLM Pipeline
Each export format serves a different purpose in AI workflows. Here is when to use Markdown, JSONL, CSV, JSON, and ZIP exports from your web scraping pipeline.
How to Build a RAG Pipeline with FireScraper
Step-by-step guide to crawling websites, exporting clean text, and loading it into a vector database for retrieval-augmented generation.
Best Web Scraping APIs for AI in 2026
A developer's guide to the top web scraping APIs built for AI teams — comparing pricing, features, and output formats for RAG pipelines and LLM training.
Introducing FireScraper: Web Scraping Built for AI Teams
FireScraper turns any website into clean, structured text for RAG pipelines, fine-tuning datasets, and AI agent workflows. Here is what makes it different.