⚡Stack Radar

Search APIs for AI Agents · Reviewed 27 Oct 2026

Firecrawl

API to search, scrape, and interact with the web, turning pages into LLM-ready data.

from $16 · free tier · firecrawl.dev ↗

Paid against free › Search APIs for AI Agents › Firecrawl

1.9MEstimated total trafficModeled monthly visits3.5KRanking keywordsPublic search sample94/100Technical health15 pages checked11.6KReferring domainsLive backlink summary

Overview

01

Summary

The useful answer before the supporting detail.

deep page fetch is a web data API that turns websites into clean, structured, LLM-ready data for AI agents and developers S1. It solves the problem of feeding large language models with reliable, real-time web context by offering search, scrape, and interact capabilities through a single API S1. Teams use it for deep research agents, RAG pipelines, and competitive intelligence, with a free tier and scalable paid plans S23.

02

Product identity and positioning

Name, category, positioning, audience, and first-party claims.

  • Identity: deep page fetch is a web data API for search, scraping, and interaction, offered as a hosted service and open-source framework S1 S23.
  • Core purpose: It provides clean, LLM-ready data from the web to feed AI systems S1.
  • Intended users: AI agents, LLMs, and developers building AI-native software S1.
  • Product scope: A single API with search, scrape, and interact capabilities, plus SDKs and a CLI S23.
  • Positioning: Positioned as the infrastructure layer that helps AI find, read, and act on the live web S23.
  • Claimed distinction: Claims to be the largest open-source repo in the space with over 180K GitHub stars S23.
03

Use cases and audiences

Who the product serves and the jobs it is designed to handle.

AudiencePractical use case
AI agentsGive agents fresh web context for deep research and shopping assistants S23 S95.
Product teamsMonitor competitor prices and inventory with scheduled checks and alerts S95.
RAG pipelinesFeed LLM applications with clean, structured web data for retrieval S23.
Sales teamsEnrich leads and build prospect lists with web data S23 S89.
Content teamsGenerate content with up-to-date web context S23.

Features

09

Features and capabilities

Core functions and evidence-backed product capabilities.

CapabilityWhat it does
SearchReturns relevant web results with full-page markdown for each result S23.
ScrapeConverts any page or format into clean markdown or structured data S1.
InteractProvides cloud sandboxes for agents to navigate and interact with pages S1 S23.
CrawlCrawls websites and converts them into LLM-ready data S23.
MonitorSchedules scrapes and sends alerts on changes, such as price moves or out-of-stock signals S95.
Product Data ExtractorExtracts structured product data (prices, SKUs, availability) from product URLs S89.
AlexandriaProvides access to 100+ data providers, including Shopify Catalog, for structured records S95.
10

Integrations and ecosystem

Connected products, exports, APIs, and workflow compatibility.

Integration or interfaceTypeWhat it enables
MCPAI interfaceConnect deep page fetch to any AI agent or MCP client in minutes S23.
Python SDKSDKSupports search, scrape, interact, and crawl from Python S23.
Node.js SDKSDKSupports search, scrape, interact, and crawl from Node.js S23.
REST APIAPICall deep page fetch directly from any language S23.
CLIExtension frameworkRun deep page fetch from the terminal for workflows S23 S89.
Zapier, Make, HubSpotIntegrationPull web data into workflows without code S89.
AI modelIntegrationPull any webpage into AI modelfor research and writing S89.

Pricing

11

Pricing and plans

Published plans, free access, trials, credits, and pricing limitations.

Plan or offerVerified price and billingIncludedLimits
Free$0 monthly S781,000 credits/month (500 searches) S782 concurrent requests S78
Hobby$16/month billed yearly, $19 billed monthly S785,000 credits/month (2,500 searches) S785 concurrent requests S78
Standard$83/month billed yearly S78100,000 credits/month (50,000 searches) S7825 concurrent requests S78
Growth$333/month billed yearly S78500,000 credits/month (250,000 searches) S7850 concurrent requests S78
Scale$599/month billed yearly S781,000,000 credits/month (500,000 searches) S78100 concurrent requests, one-month rollover S78
EnterpriseContact sales S78Custom credits S78Zero data retention, SSO, SLA S78

Competition

12

Competitive landscape

Domains competing for the same organic search demand.

Sampled competitors

CompetitorFirst-page appearancesSampled queriesAverage positionQueries observed
browse.ai222ai web crawler, best web crawler
reddit.com223.5ai web crawler, best web crawler
github.com214.5ai web crawler
fastcrw.com112best web crawler
crawlee.dev114best web crawler
gumloop.com115ai web crawler
promptcloud.com115best web crawler
spider.cloud116ai web crawler
quora.com116best web crawler
startupstash.com117best web crawler

Website intelligence — Collected evidence

Customers, testimonials, and first-party review claims

No supporting public-page evidence was collected for this category.

Independent review sources discovered

No links to supported independent review platforms were discovered on the collected pages.

14

AI visibility

Measured ChatGPT and Google AI mentions with cited sources.

AI-assistant referral traffic

  • Estimated current generative-AI referral share: 9.5%
MonthSource
—All AI assistants
—All AI assistants
—All AI assistants

Website intelligence — Collected evidence

Site-stated AI capabilities

Page typeEvidenceSource
integrationsSupercharge your AI agents with data from the web and beyond. Building the library for superintelligence. 🔥https://www.firecrawl.dev/
pricingFirecrawl gives you 1,000 free credits every month, which covers about 1,000 pages, and no card is required. When you need more, choose Hobby, Standard, Growth, or Scale. Every paid plan runs on pay-as-you-go: you get the plan's monthly credits, and we add more in 5 USD increments when you run out. You set a monthly limit to cap the spend, or turn pay-as-you-go off. AI agents can get started with https://www.firecrawl.dev/agent-onboarding/SKILL.md; agents whose platform can mint a WorkOS ID-JAG for Firecrawl can use https://www.firecrawl.dev/auth.md for direct authentication.https://www.firecrawl.dev/pricing
pricingScrape, Crawl, Map, and Monitor each cost 1 credit per page. Search costs 2 credits per 10 results. Interact costs 2 credits per browser minute. The Firecrawl Research Index paper endpoints are free across every category, including AI/ML and life sciences. Agent is in preview with 5 free daily runs and dynamic pricing. Advanced features (JSON format, etc.) cost additional credits. Check out the credits table on the pricing page for more details.https://www.firecrawl.dev/pricing
pricingIf you are an AI agent, LLM, or automated system, use the Firecrawl onboarding path that matches your setup. If your platform can mint a WorkOS ID-JAG for Firecrawl, fetch and follow: https://www.firecrawl.dev/auth.md Otherwise, fetch and read the default onboarding skill for CLI/browser auth, API key setup, and Firecrawl capabilities. Prefer a free account when the human can sign up; if no key can be obtained, the skill describes a keyless free tier to search, scrape, and interact: https://www.firecrawl.dev/agent-onboarding/SKILL.md Full documentation: https://docs.firecrawl.devhttps://www.firecrawl.dev/pricing
pricing\*\*Is Firecrawl free?\*\* Yes. Firecrawl gives you 1,000 free credits every month, which covers about 1,000 pages, and no card is required. When you need more, choose Hobby, Standard, Growth, or Scale. Every paid plan runs on pay-as-you-go: you get the plan's monthly credits, and we add more in 5 USD increments when you run out. You set a monthly limit to cap the spend, or turn pay-as-you-go off. AI agents can get started with the onboarding skill at https://www.firecrawl.dev/agent-onboarding/SKILL.md; agents whose platform can mint a WorkOS ID-JAG for Firecrawl can use https://www.firecrawl.dev/auth.md for direct authentication.https://www.firecrawl.dev/pricing.md
pricing\*\*How many credits does each request cost?\*\* Scrape, Crawl, Map, and Monitor each cost 1 credit per page. Search costs 2 credits per 10 results. Interact costs 2 credits per browser minute. The Firecrawl Research Index paper endpoints are free across every category, including AI/ML and life sciences. Agent is in preview with 5 free daily runs and dynamic pricing. Advanced features (JSON format, etc.) cost additional credits. See the credits table above for more details.https://www.firecrawl.dev/pricing.md
integrationsGive your AI agentshttps://www.firecrawl.dev/
integrations](/blog/how-replit-uses-firecrawl-to-power-ai-agents)https://www.firecrawl.dev/
integrationsThe infrastructure layer that helps AI find, read, and act on the live web.https://www.firecrawl.dev/
integrationsGet llm-ready data from websites. Markdown, JSON, screenshot, etc.https://www.firecrawl.dev/
integrationsScrape a page, then interact with it using AI prompts or code.https://www.firecrawl.dev/
integrationsIf you are an AI agent, LLM, or automated system, use the Firecrawl onboarding path that matches your setup. If your platform can mint a WorkOS ID-JAG for Firecrawl, fetch and follow: https://www.firecrawl.dev/auth.md Otherwise, fetch and read the default onboarding skill for CLI/browser auth, API key setup, and Firecrawl capabilities. Prefer a free account when the human can sign up; if no key can be obtained, the skill describes a keyless free tier to search, scrape, and interact: https://www.firecrawl.dev/agent-onboarding/SKILL.md Full documentation: https://docs.firecrawl.devhttps://www.firecrawl.dev/signin
integrationsAre you an AI agent? Get an API key herehttps://www.firecrawl.dev/signin

These are first-party product claims, not independent measurements of AI-search visibility.

15

Marketing opportunities

Actions calculated directly from the collected evidence.

OpportunityRecommended actionEvidence
Competitor gapReview the sampled queries where browse.ai appears.2 first-page appearances across ai web crawler, best web crawler

Website intelligence — Collected evidence

Website evidence gaps

  • customers: no usable public page was collected; verify whether the site publishes this evidence.
  • reviews: no usable public page was collected; verify whether the site publishes this evidence.
  • changes: no usable public page was collected; verify whether the site publishes this evidence.
  • identity: no usable public page was collected; verify whether the site publishes this evidence.
  • technical: no usable public page was collected; verify whether the site publishes this evidence.

Trust and proof

16

Customers, proof, and reviews

Published proof, customer signals, and review evidence.

Independent reviews

PlatformPageHow it was foundNote
Product Huntdeep page fetch Reviews (2026) / Product HuntGrounded web search### The community submitted 17 reviews to tell us what they like about deep page fetch, what deep page fetch can do better, and more. ... Reviewers describe deep page fetch as a reliable way to turn messy web pages into clean, structured, LLM-ready data, especially for AI agents and research workflows. They repeatedly praise easy setup, clear docs, and an API that avoids building and maintaining custom scrapers. One user says it makes extracting meaningful data from unstructured content far more dependable and sa
Product Huntdeep page fetch: The Web Data API for AI Agents and Developers / Product HuntGrounded web searchOne user says it makes extracting meaningful data from unstructured content far more dependable and saves manual work. Makers of Agentplace.io, Crewdle ... echo that, citing clean output, scale, and solid crawling on complex sites

Customer proof

Proof typeNamed customer or sourceEvidence
RatingZhen Litestimonial — Read 10 deep page fetch reviews and testimonials from customers, explore 32 case studies and customer success stories, and watch customer videos to see why companies chose deep page fetch as their Data Extraction Software - 10 Testimonia… (42 deep page fetch Customer Reviews & References / FeaturedCustomers)
TestimonialAlex Reibmantestimonial — Chris DeWeese@chrisdeweese_"Started using @firecrawl for a project, I wish I used this sooner." Alex Reibman@AlexReibman"Moved our internal agent's web scraping tool from Apify to deep page fetch because it benchmarked 50x faster w… (The context API to search, scrape, and interact with the web at scale. 🔥)

Independent mentions

  • We currently use deep page fetch for our crawling infrastructure. Looking at their doc... — We currently use deep page fetch for our crawling infrastructure. Looking at their documentation, they claim to respect robots.txt, but based on user reports in their GitHub issues, the implementation seems inconsistent - particularly for one-off scrapes vs full crawls. This is definitely something we need to address on our end. Site owners should have clear ways to opt out, and crawlers should be identifiable. We're looking into either working with deep page fetch to improve this or potentially switching t
  • deep page fetch / Web Data API for AI Agents — ### How 11x Automates Prospect Research for AI-Powered Outbound 11x uses deep page fetch's /crawl and /search to build company research briefs for AI-powered outbound, from each company's own site to sources across the web.
  • Turn entire websites into LLM-ready data / Hacker News — Turn entire websites into LLM-ready data (firecrawl.dev) ... by nickca on April 13, 2024 / hide / past / favorite / 11 ... It crawls webpages (finds subdirectories), handles JS blocking with fallbacks to headless browsers, and does this all concurrently.
  • firecrawl/firecrawl — Supercharge your AI agents with data from the web and beyond. Building the library for superintelligence. 🔥 - Stars: 191620 - Forks: 10133 - Watchers: 191620 - Open issues: 589 - License: GNU Affero General Public License v3.0 - Homepage: https://firecrawl.dev - Default

External links were grounded in one live web search. Search snippets are leads, not independently scraped page content; rejected links remain available in Review evidence.

17

Company, security, and trust

Ownership, policies, security signals, and public trust evidence.

SignalFindingSource
Company and ownershipFounded by builderssource
Contact and supportNeed more? Contact ussource
Legal and privacyCredits you buy stay on your account until you use them. They expire if you cancel your subscription, so use them before you leave.source
Security and complianceSSO & advanced securitysource
Uptime and status page/ Support SLAYour agreement sets the uptime and response targets we commit to. / –Not available / –Not available / –Not available / –Not available / –Not available / Included /source
Domain registered2024-04-08—
Domain expires2034-04-08—

Every trust signal above is backed by a collected page or a registration record.

18

Documentation and product updates

Help resources, product guidance, and visible changes over time.

Resource or updateTypeWhat is availableDate or freshness
AI modelDeveloper Platform docs API for AI agents / deep page fetch AlexandriaDocumentationOfficial AI modelDeveloper Platform documentation. Available to AI agents through one deep page fetch API, MCP or CLI. ([source](https://www.firecrawl.dev/alexandria/platform-AI modelcom))Not dated
Developer Index: Code & Docs Search API for Coding Agents / deep page fetchDocumentationSearch 70M+ GitHub READMEs, issues, pull requests, and documentation from one endpoint. The highest recall of any coding-specific index, with no API key needed to start. (source)Not dated
AI modelDeveloper Platform docs API for AI agents / deep page fetch AlexandriaRelease notesPublic product change history. ([source](https://www.firecrawl.dev/alexandria/platform-AI modelcom))Not dated

Not found in the collected public sources: public roadmap, status page, separate help center or knowledge base.

Technical

19

Technical and delivery signals

Delivery model, platforms, API, data ownership, reliability claims and release activity.

SignalFindingSource
Delivery model (cloud, self-hosted, desktop, browser extension)Hosted version features Fire-engine infrastructure; open-source version available S23.S23
Platforms and appsWeb-based API with SDKs for Python, Node.js, Go, Rust, Java, and Elixir S23.S23
API and extensibility (API, SDK, webhooks, MCP, plugins)REST API, SDKs, CLI, MCP support, and signed webhooks S23 S78.S23 S78
Data ownership and exportNot published on the collected pages.—
Performance and reliability claimsClaims optimized infrastructure for reliable extraction from complex websites S23.S23
Release activityReal-time updates indicated on the site S23.S23
20

Measured infrastructure

Domain, certificate, and hosting signals, measured directly.

SignalFinding
Domain registered2024-04-08 — Namecheap Inc.
Domain expires2034-04-08
First archived2024-04-13 — web archive
TLS certificateLet's Encrypt, valid, expires 2026-11-26
Security headersHSTS, CSP, X-Content-Type-Options, X-Frame-Options, Referrer-Policy
Server headerVercel
Mail handled bysmtp.google.com
Nameserversdns1.registrar-servers.com, dns2.registrar-servers.com

Not measurable: rdap: exceeded the overall budget; wayback: exceeded the overall budget; tls: exceeded the overall budget; dns: exceeded the overall budget; headers: exceeded the overall budget. A gap here means the lookup was unavailable, not that the finding is negative.

21

Technical site audit

A bounded multi-page crawl with page-level issues and URLs.

Scout — Bounded technical crawl

  • Pages crawled: 15 of 15 maximum
  • Technical health: 94/100
  • Critical issues: 0
  • Warnings: 17
  • Notices: 3

Issues

SeverityIssueValueAffected URL
warningMissing canonical URL—https://www.firecrawl.dev/
warningMissing canonical URL—https://www.firecrawl.dev/
noticeMeta description length should be reviewed176https://www.firecrawl.dev/pricing
warningMissing canonical URL—https://www.firecrawl.dev/blog
warningMissing canonical URL—https://www.firecrawl.dev/playground
warningPage should have one primary H10https://www.firecrawl.dev/signin
warningMissing canonical URL—https://www.firecrawl.dev/signin
noticeLow visible word count117https://www.firecrawl.dev/signin
warningTitle length should be reviewed73https://www.firecrawl.dev/blog/how-replit-uses-firecrawl-to-power-ai-agents
noticeMeta description length should be reviewed183https://www.firecrawl.dev/interact
warningDuplicate title in audit sample5https://www.firecrawl.dev/
warningDuplicate title in audit sample5https://www.firecrawl.dev/
warningDuplicate title in audit sample5https://www.firecrawl.dev/blog
warningDuplicate title in audit sample5https://www.firecrawl.dev/playground
warningDuplicate title in audit sample5https://www.firecrawl.dev/signin
warningDuplicate meta description in audit sample5https://www.firecrawl.dev/
warningDuplicate meta description in audit sample5https://www.firecrawl.dev/
warningDuplicate meta description in audit sample5https://www.firecrawl.dev/blog
warningDuplicate meta description in audit sample5https://www.firecrawl.dev/playground
warningDuplicate meta description in audit sample5https://www.firecrawl.dev/signin

Crawled pages

StatusTitleH1sWordsResponseURL
200deep page fetch \Web Data API for AI Agents13573471 ms
200Alexandria - a knowledge library for AI agents \deep page fetch11971362 ms
200Introducing Alexandria and our $75M Series B11662230 mshttps://www.firecrawl.dev/blog/introducing-alexandria-series-b
200deep page fetch \Web Data API for AI Agents13573401 ms
200Pricing \deep page fetch12553307 ms
200deep page fetch \Web Data API for AI Agents1145241,197 ms
200deep page fetch \Web Data API for AI Agents12511,182 ms
200deep page fetch \Web Data API for AI Agents0117141 ms
200deep page fetch + Lovable - Build Web Data Apps Without Writing Code11076276 mshttps://www.firecrawl.dev/blog/firecrawl-lovable-integration
200How Zapier Powers AI Chatbots with Web Knowledge Using deep page fetch11008519 mshttps://www.firecrawl.dev/blog/how-zapier-uses-firecrawl-to-power-chatbots
200How Replit Powers Replit Agent with Always-Fresh Web Data Using deep page fetch1974439 mshttps://www.firecrawl.dev/blog/how-replit-uses-firecrawl-to-power-ai-agents
200How Gamma Supercharges Onboarding with deep page fetch1912443 mshttps://www.firecrawl.dev/blog/how-gamma-supercharges-onboarding-with-firecrawl
200Web Search API. Live Web Results for AI Agents \deep page fetch12228543 ms
200Web Scraping API. Any URL to Clean Markdown \deep page fetch11498509 ms
200Web Interaction API. Give Your Agent a Live Browser \deep page fetch11463350 ms

This is a bounded Scout crawl. Core Web Vitals and Lighthouse scores are not claimed unless a dedicated performance audit is connected.

22

Search Console and Analytics

First-party search and behavioral data connection state.

Modeled acquisition channels

ChannelEstimated share
direct44.4%
search32.2%
search organic31.2%
search paid1.0%
social5.5%
social organic5.4%
social paid0.1%
referrals5.1%
paid referrals0.4%
mail2.9%
gen ai9.5%
affiliate0.0%
other0.0%

First-party connections

IntegrationStatusData available after connection
Google Search ConsoleNot connectedClicks, impressions, CTR, average position, queries, pages, countries, and devices
Google AnalyticsNot connectedOrganic sessions, engagement, landing pages, conversions, geography, and devices

No first-party Search Console or Analytics numbers are shown until the site owner authorizes the corresponding Google account. Scout traffic model values above are modeled estimates, not private analytics totals.

Limits and method

23

Limitations and open questions

Known constraints and missing evidence from the collected pages.

The collected pages do not mention specific competitors by name, except a testimonial referencing Apify S69. Evidence gaps include lack of detailed security certifications, uptime statistics, and customer case studies beyond the named examples. Open questions remain about data retention policies for non-enterprise plans and the specifics of the open-source version's feature parity.

24

Sources, method, and limitations

Evidence inventory, collection method, provider use, and constraints.

This report is based on 15 collected pages from firecrawl.dev, including the homepage, about, pricing, use-case, and tool pages. Evidence was gathered via static and browser rendering rendering, with external proof search for verification. Limitations include potential marketing bias and lack of independent review data. All claims are cited from the provided catalog tokens.

Paid against free, in your inbox

One job at a time: the paid tools worth paying for, the free ones you can run yourself, and who should pick which.

No tracking pixels. One click to leave. We use your address to send Stack Radar and nothing else. Privacy.