Firecrawl's /extract endpoint allows you to get structured web data with just a prompt—perfect for lead enrichment, KYB automation, or no-code workflows. Write a prompt, get clean JSON, and extract web data in seconds without any hassle. Now in Open Beta!
Hey Product Hunt! 👋
We're Eric, Caleb, and Nick from Firecrawl, and today we're excited to introduce /extract—an endpoint that transforms entire websites into structured data with just a prompt. Tired of messy, do-it-yourself web scraping or juggling multiple LLM tools? We built /extract to give you the data you need, with none of the maintenance headaches or context limits. Simply drop in your URLs and a prompt (or desired output schema), and /extract handles everything else, fast.
Why /extract?
- Prompt-based data extraction: Provide your URLs and what you want (e.g., "competitor prices" or "product specs"). /extract does the rest—no fragile scrapers required.
- Automated context gathering: We crawl, rank, and parse relevant pages so you don't have to.
- Developer and No Code Friendly - Use Python, Node, cURL, or any tool of your choice. We even have a zapier integration for those who prefer no code.
We're in open beta and offering 500,000 tokens free to get you started. Check out our landing page to learn more, play in our Playground, or dive into the docs. We'd love to hear how you plan to use /extract — share your feedback and ask us anything!
Thanks for stopping by, and we'll be here all day to chat.
– Eric, Caleb, and Nick at Firecrawl 🔥
Congratulations on launching the /extract endpoint! It’s impressive how it simplifies data extraction. How do you ensure the accuracy and relevance of the structured data returned in response to various prompts?
Congratulations on launching /extract by Firecrawl! 🎉 This is such a game-changer for anyone dealing with web data extraction. I love how you’ve simplified the process—no more messy scrapers or juggling multiple tools—just a prompt and clean JSON output.
The prompt-based approach is brilliant, especially for use cases like lead enrichment or KYB automation. It’s great to see how you’ve made it accessible for both developers and no-code users with integrations like Zapier.
I’m curious, how do you handle dynamic or JavaScript-heavy websites? Also, are there plans to expand the types of structured data formats beyond JSON?
Looking forward to seeing how /extract evolves during the open beta—this could really redefine how we interact with web data! 🔥
Firecrawl's /extract endpoint allows you to get structured web data with just a prompt—perfect for lead enrichment, KYB automation, or no-code workflows. Write a prompt, get clean JSON, and extract web data in seconds without any hassle. Now in Open Beta!
Congratulations to the Firecrawl team on launching Extract! It's fantastic to see a tool that simplifies web data extraction for various use cases.
How does Extract handle data accuracy and quality assurance, particularly for lead enrichment and KYB automation tasks?
Congratulations on launching ekstrak - introducing a prompt-based approach to web data extraction is a notable step forward for the data automation space.
Could you share insights on how ekstrak handles dynamic JavaScript-rendered content, particularly for single-page applications, compared to traditional crawler approaches?
Congratulations on launching **Extract by Firecrawl**! This tool addresses a significant need for efficient data extraction.
How does your prompt-based approach handle complex web pages with dynamic content, and what measures are in place to ensure data accuracy and reliability?
Congratulations on launching **Extract by Firecrawl**! The ability to obtain structured web data with just a prompt is a game changer. How does your tool ensure accuracy and relevance in the JSON data it generates for users?
Congratulations on the launch of the /extract endpoint by Firecrawl! This innovative solution addresses the significant pain point of manual data extraction, which can be time-consuming and prone to errors.
I’m particularly interested in how the /extract endpoint handles complex queries, such as time-based filtering. Are there plans to enhance this feature in the near future?
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Congratulations on launching Extract - bringing natural language processing to web scraping is a significant step forward for data collection worHow does your error handling system work when websites have dynamic content that changes between the initial prompt parsing and the actual data extraction?
Congratulations on launching Extract by Firecrawl. The streamlined approach to web data extraction represents a significant step forward in data processing automation.
Have you considered implementing rate limiting controls or usage quotas that enterprise clients can customize according to their specific data extraction needs?"
It is a great solution for automating data collection, for example, to improve the lead base or automate KYC processes. All you need to do is set a query, and you'll get clean JSON data in just a few seconds.
Such an awesome tool! I am definitely checking it out! Really great thinking there!
