Launch Week I / Day 5: Real-Time Crawling with WebSockets
Welcome to Day 5 of Firecrawl’s Launch Week! We’re excited to introduce an exciting new feature that will bring your web scraping projects to the next level: Real-Time Crawling with WebSockets.
Introducing Crawl URL and Watch
We’re thrilled to announce our new WebSocket-based method, Crawl URL and Watch. This powerful feature enables real-time data extraction and monitoring, opening up new possibilities for immediate data processing.
How It Works
The Crawl URL and Watch method initiates a crawl job and returns a watcher object. You can then add event listeners for various events like “document” (when a new page is crawled), “error” (if an error occurs), and “done” (when the crawl is complete).
This approach allows you to process data in real-time, react to errors immediately, and know exactly when your crawl is finished.
We’re excited to see how you’ll use this new feature to enhance your web scraping projects and create more dynamic, responsive applications.
Check out our documentation for a detailed guide on how to implement Crawl URL and Watch in your projects: Firecrawl WebSocket Documentation
About the Author
Eric Ciarla is the Chief Operating Officer (COO) of Firecrawl and leads marketing. He also worked on Mendable.ai and sold it to companies like Snapchat, Coinbase, and MongoDB. Previously worked at Ford and Fracta as a Data Scientist. Eric also co-founded SideGuide, a tool for learning code within VS Code with 50,000 users.
More articles by Eric Ciarla
How to Create an llms.txt File for Any Website
Learn how to generate an llms.txt file for any website using the llms.txt Generator and Firecrawl.
Cloudflare Error 1015: How to solve it?
Cloudflare Error 1015 is a rate limiting error that occurs when Cloudflare detects that you are exceeding the request limit set by the website owner.
Build an agent that checks for website contradictions
Using Firecrawl and Claude to scrape your website's data and look for contradictions.
Why Companies Need a Data Strategy for Generative AI
Learn why a well-defined data strategy is essential for building robust, production-ready generative AI systems, and discover practical steps for curation, maintenance, and integration.
Getting Started with OpenAI's Predicted Outputs for Faster LLM Responses
A guide to leveraging Predicted Outputs to speed up LLM tasks with GPT-4o models.
How to easily install requests with pip and python
A tutorial on installing the requests library in Python using various methods, with usage examples and troubleshooting tips
How to quickly install BeautifulSoup with Python
A guide on installing the BeautifulSoup library in Python using various methods, with usage examples and troubleshooting tips
How to Use OpenAI's o1 Reasoning Models in Your Applications
Learn how to harness OpenAI's latest o1 series models for complex reasoning tasks in your apps.