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    Firecrawl

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    Sold by: Firecrawl 
    Firecrawl is the web data API that lets AI agents search, scrape, and interact with the live web at scale. Find fresh, relevant results, turn web pages into LLM-ready data, and extract hard-to-reach content from dynamic sites.
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    Overview

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    Firecrawl is the complete toolkit to search, scrape, and interact with the web at scale. Built for developers and AI agents, Firecrawl turns the live web into LLM-ready data for AI products and workflows. Customers use it to power research agents, AI-native search, AI assistants, lead enrichment, web monitoring, and onboarding. It handles JavaScript-heavy and dynamic pages, removes the noise, and returns clean Markdown or structured data at production scale. Use Firecrawl through a unified API, official SDKs, MCP, or the CLI. /search: Search the live web and get fresh, relevance-ranked results with titles, descriptions, and URLs. Retrieve full-page Markdown, HTML, links, or screenshots in the same request. Research tools, RAG pipelines, and AI agents can find relevant sources and turn them into usable context without stitching together separate search and extraction services. /scrape: Turn a web page into clean Markdown, structured JSON, HTML, and more. Firecrawl renders dynamic content and removes headers, footers, navigation, and other noise, reducing token usage by up to 94%. Get reliable, LLM-ready content without maintaining your own web scraping infrastructure. /interact: Take action on a page using natural-language prompts or Playwright code. Click buttons, fill forms, navigate pages, handle pagination, and extract dynamic content, with a live view for real-time visibility. Use it for agent workflows that require more than standard page extraction. /crawl: Discover and extract content across a website or selected section. Firecrawl handles sitemaps, JavaScript rendering, and large-scale processing automatically, with controls for paths, crawl depth, and subdomains. Use it to create datasets, knowledge bases, and complete content collections. /monitor: Track pages, websites, or web-wide topics on a recurring schedule. Notify your team or AI agent through webhooks, email, or Slack when something meaningful changes. Monitor pricing, documentation, listings, news, and other evolving web content.

    Highlights

    • One platform for live web data: Search, scrape, interact with, crawl, and monitor the web through our API, official Python and Node SDKs, MCP, or the CLI.
    • Reliable and token-efficient: Firecrawl covers 96% of the web, handles JavaScript-heavy pages, dynamic apps, and PDFs, and returns clean data with 94% fewer input tokens than raw HTML.
    • Open source, loved by developers: Firecrawl is a top 100 GitHub repository with 148K+ stars and a global community of users and contributors.

    Details

    Delivery method

    Deployed on AWS
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    Features and programs

    Financing for AWS Marketplace purchases

    AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
    Financing for AWS Marketplace purchases

    Pricing

    Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    12-month contract (1)

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    Dimension
    Description
    Cost/12 months
    Hobby
    Great for side projects and small tools. Fast, simple, no overkill.
    $192.00

    AI Insights

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    Dimensions summary

    You buy the Hobby plan through a contract, priced by units. This plan suits side projects and small tools. Firecrawl runs on a credit system, where credits are consumed for each API request. Costs vary by endpoint and feature: scrape, crawl, map, and monitor each use one credit per page, while search and browser interactions use more. Credits do not roll over between months on this plan. Since only one dimension is offered here, your pricing scales with how many credits your usage consumes against the plan's monthly allotment.

    Top-of-mind questions for buyers

    A credit is the unit consumed per API request. Scrape, crawl, map, and monitor each cost one credit per page. Search costs two credits per 10 results. Browser interaction costs two credits per browser minute. Advanced features like structured JSON output consume extra credits per request.
    You are not charged when a failure happens on the Firecrawl side, such as timeouts or server errors. You are charged when a page is fetched successfully, even if the site itself returns an error status like a 4xx or 5xx code. Dispute incorrect charges with the vendor.
    No. Credits do not roll over between months on this plan. Your allotment resets each billing cycle, so unused credits are lost. Plan your usage within the monthly credit amount included with the Hobby plan.
    firecrawl.dev
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    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

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    Delivery details

    Software as a Service (SaaS)

    SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.

    Resources

    Vendor resources

    Support

    Vendor support

    Get live support in the Firecrawl app or email our team at help@firecrawl.dev . Ask the Firecrawl community at https://community.firecrawl.dev , check API availability at https://status.firecrawl.dev , or explore support resources at

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

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    Customer reviews

    Ratings and reviews

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    4.7
    1096 ratings
    5 star
    4 star
    3 star
    2 star
    1 star
    81%
    16%
    1%
    1%
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    0 AWS reviews
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    1096 external reviews
    External reviews are from G2 .
    Bri C.

    Best tool for agents to interact with the web

    Reviewed on Nov 09, 2026
    Review provided by G2
    What do you like best about the product?
    1) Price, 2) Can seamlessly scrape/index for use with other LLM products. It's a critical component as part of a larger system.
    What do you dislike about the product?
    I would like to know more about what capabilities it had and ways we could use it
    What problems is the product solving and how is that benefiting you?
    We use firecrawl to help marketers understand why a song is trending. We use it to find relevant links on the web, combine it with other 1p data, and generate responses to marketers.
    Brandon C.

    I could not build this technology on my own - and I tried!

    Reviewed on Nov 09, 2026
    Review provided by G2
    What do you like best about the product?
    It's easy to use, stable, and very capable at what it does. This is not something that comes easily in the world of industrial grade data extraction.
    What do you dislike about the product?
    The open source version does not support enough cloaking methods so it tends to get rate limited.
    What problems is the product solving and how is that benefiting you?
    Data Scraping is the main problem it solves for me. That means enrichment of other data through the use of Firecrawl to get to the sources of where the enrichment opportunities are.
    Nuri D.

    Works as advertised

    Reviewed on Nov 09, 2026
    Review provided by G2
    What do you like best about the product?
    Ease of use; connectivity with other models
    What do you dislike about the product?
    No negative points so far; worked well for my purpose
    What problems is the product solving and how is that benefiting you?
    Getting information for further testing before submission to the database
    Ayanna M.

    Firecrawl is excellent at grabbing website information

    Reviewed on Nov 09, 2026
    Review provided by G2
    What do you like best about the product?
    What I like best about Firecrawl is that it's able to pull any little amount of information about any website and it's especially useful when I need to grab brand colors, graphics, copy from other websites, especially in my web design business.
    What do you dislike about the product?
    I don't have any downsides to Firecrawl. I love it
    What problems is the product solving and how is that benefiting you?
    It's really good at helping me find information and data from various websites on the internet, especially when I'm using clawed code and I need to grab details from documentations or really get in there to see how something is built
    Kristian W.

    I actually don't know where I'd be without this tool in my belt as part of my stack

    Reviewed on Nov 09, 2026
    Review provided by G2
    What do you like best about the product?
    Simplicity and the fact that it just works—I don't have to mess around or waste time. Set it and forget it.
    What do you dislike about the product?
    Right now, I haven't really found anything, since I haven't really delved into your more advanced features yet, but I'm getting there.
    What problems is the product solving and how is that benefiting you?
    It's actually solving the problem of gathering proof for SEO keywords: standard SEO reports show that you rank on page 4, for example, but when I search in my browser, it's page 1. So I have it run the search, take a screenshot, and so on.
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