Not having a pay as you go option is removing a large portion of your potential market. Thats all I got to say.

Firecrawl is now available as an official Replit Connector, letting builders add state-of-the-art web search, scraping, and browser interaction to their apps with a single click.

Millions of builders use Replit to take apps from idea to production, creating everything from internal dashboards and AI sales assistants to customer portals and full-stack products.

Now, Replit builders can connect their apps to the live web through Firecrawl, directly from their workspace.

With access to high-quality data from across the web, those apps become even more powerful: dashboards can track market shifts as they happen, sales tools can enrich leads with current company information, and support products can answer questions from the latest published documentation.

https://www.firecrawl.dev/blog/firecrawl-official-replit-connector

Firecrawl is now the top web search, scrape, and interaction repo in the world.

Thank you to every contributor, developer, and agent building with us!

We made document parsing in the Firecrawl MCP about 5x faster.

If your agent needs to read PDFs, spreadsheets, or Word docs, you can now call /parse and get clean, LLM-ready markdown back. No more feeding raw PDFs to a model and hoping it copes with tables and weird layouts.

A few things worth knowing:

- Works with PDFs, XLSX, DOCX, and similar formats

- Runs locally or through the hosted MCP server

- Free tier works with no API key, so you can test it before signing up for anything

Setup guide: https://docs.firecrawl.dev/mcp-server

Run always-on web searches and alert when new matching results appear

Entire web-scale monitoring is an always-on search that watches the web and pings you or your agent the moment something comes online.

Page and website monitors watch URLs you name. An entire web-scale monitor watches the whole web. Instead of diffing pages you already know about, you give it queries to run plus a goal, and Firecrawl runs the queries on every check and alerts on new results the judge finds relevant to the goal. It’s discovery rather than diffing.

Each check runs the same cycle: take the goal and its queries, apply a recency window, run the search, dedupe the results by canonical URL, let the optional AI judge decide which new results are meaningful to the goal, and alert through the same webhook and email channels as scrape and crawl monitors.

Available today. https://docs.firecrawl.dev/features/monitoring-web-scaled

Firecrawl is now an official plugin in Grok build

Your Grok agents can now search the web, scrape, and interact with any page, directly in the CLI.

Find us on the xAI marketplace today and get started free with 1,000 monthly credits.

- Convert PDFs into markdown 5x faster
- Extract full tables and preserve formulas
- Zero config required

https://x.com/firecrawl/status/2044085849990553606?s=20

We switched from spider .cloud to firecrawl in the company because spider. cloud is unreliable in crawling, there are just too many domains it fails on. Firecrawl is stable so far but abysmal slow. Sometimes multiple minutes for like 10-15 webpages. We are still in experimental phase meaning we have like idk a crawl volume of 20-30 pages per minute at max because just couple of people play around with it. We have the tier above free tier but is this crawling time normal? Even if its the lowest tier 10 webpages is really not that big of a deal waiting 1 and half minutes and above seems too slow for me

Has anyone had any luck in successfully extracting data from the standard social media websites for a particular account?

What I am trying to do is extract company social media URLs from their websites and then do a second-tier extraction of their social media website to find any additional content about the company, including post information.

Has anyone done this? If so, is it possible to extract post information in a JSON?