Firecrawl Release Notes

• Date: October 6, 2026

Your AI agents can now research fantasy sports with Firecrawl Alexandria. Bring fantasy rankings and projections together with player and team stats, sports betting odds and the latest news to make more informed lineup decisions in ChatGPT or Claude.

Fantasy sports data is live in Alexandria

What you can do

• Research who to start. Compare projections with this week's matchups and injury news before choosing your lineup.
• Look beyond one ranking. Check where fantasy analysis sources agree or disagree and use the wider research to assess a close call.
• Try the fantasy football demo. Paste your roster to compare projections, switch scoring formats and see suggested start/sit changes for your league's lineup slots.

Connect Firecrawl in ChatGPT or Claude and ask your AI agent to use Alexandria for your next lineup decision, or try the fantasy football demo.

• Date: October 1, 2026

Your agents can now find decision makers, look up work emails, and enrich company data with Alexandria. Apollo, FullEnrich, and Data Legion are live through the same Firecrawl connection your agents already use to search and scrape the web.

Alexandria People & company enrichment

Use the people enrichment pack in Claude, ChatGPT, Codex, or your own agent through the Firecrawl API, MCP, or CLI. Describe the data you need and Alexandria finds the available capabilities, with their inputs and prices attached.

What's available

• Apollo: Search for people by title, company domain, and location, then enrich selected profiles with work emails and employment history. Enrich companies with funding, headcount, and technologies, or pull job postings and company news.
• FullEnrich: Search for people by role, employer, location, skills, and work history. Find work emails, look up profiles, identify the person behind an email address, and retrieve company firmographics and technologies.
• Data Legion: Enrich a known person or company at base or premium detail, with contact data available for person enrichment.

What you can do …

• Date: September 29, 2026

You can now use Alexandria directly in ChatGPT and Codex through the Firecrawl plugin. Search and scrape the live web, with access to 100+ data providers and Firecrawl's specialized indexes from the same conversation.

Alexandria In ChatGPT and Codex

What you can do

• Research a company. Bring together its website, SEC EDGAR filings, and financial data from Yahoo Finance in one brief.
• Compare products. Check prices and specs across Amazon, Best Buy, and Newegg alongside lab reviews from RTINGS.
• Work through a bug in Codex. Find relevant GitHub issues, merged pull requests, READMEs, and documentation through the Developer Index, then check the package on npm or PyPI.
• Dig into a research topic. Search scientific paper abstracts through the Research Index to find studies relevant to your question.

These are a few examples of what you can research with the data providers, specialized indexes, and live web available to your agent.

In our internal evaluations, agents using Alexandria scored 21% higher on answer quality than those using built-in web tools. We used the same model and prompts across 845 tasks, with blind AI judging.

Get started …

• Date: September 24, 2026

Your agents in Claude and Claude Code can now reach 100+ data providers through Alexandria, alongside Firecrawl's live web search, scraping, and specialized indexes.

Alexandria In Claude and Claude Code

Research companies, pull economic data, find scientific papers, or work through a coding question without leaving your conversation. Describe what you need and your agent can discover a source, inspect its inputs and price, and retrieve the data through Firecrawl.

What you can do

• Research a company. Bring together its website, SEC EDGAR filings, and financial data from Yahoo Finance in one brief.
• Explore economic data. Pull inflation, interest rates, and other time series from providers such as FRED.
• Dig into a research topic. Find relevant scientific papers through the Research Index and check supported full-text passages.
• Work through a bug in Claude Code. Search repositories, documentation, GitHub issues, and merged pull requests through the Developer Index.

Get started

Connect Firecrawl in Claude, or install the Firecrawl plugin for Claude Code, and connect your Firecrawl account. Alexandria requires authentication. Then ask:

Use Firecrawl Alexandria to show US CPI, the Fed funds rate, and the 10-year Treasury yield for the past 12 months in one table. …

• Date: September 22, 2026

Alexandria is the knowledge library for superintelligence. It gives AI agents a common way to discover sources and retrieve information through Firecrawl, bringing together the live web, official data providers, site-specific connectors and our own indexes.

Introducing Alexandria and our $75M Series B

More places to look

AI agents can search our Research, Developer and Government indexes, query data providers and use specialized tools to reach information beyond individual web pages. We’re continuing to add sources and build more indexes.

Across the verticals we tested, AI agents using Alexandria scored 21% higher on answer quality than those using built-in web tools. We used the same model and prompts across 845 tasks, with blind AI judging.

Our $75M Series B

We raised a $75M Series B led by Smash Capital, with participation by Altos Ventures, Nexus Venture Partners, Y Combinator, Freestyle and Offline Ventures.

We’re investing in search and Alexandria, building deeper indexes and retrieval systems and working directly with more knowledge providers. Our goal is to make useful knowledge easier to reach and worth sharing for the people who create it. …

• Date: August 20, 2026

The Firecrawl Developer Index is now available, a specialized index for coding agents. It covers 70M+ artifacts across READMEs, external documentation, issues, pull requests, and OpenAPI specs, with semantic retrieval and metadata filters. Your AI agents answer questions about code behavior, API contracts, error messages, and known bugs from primary sources instead of general web pages.

Firecrawl Developer Index

Highlights

• Highest recall of any major coding-specific index. Scores 0.63 recall@10 across the 1,179 real developer queries in our open DevDex benchmark, ahead of every other provider we tested.
• 70M+ artifacts. READMEs, docs, issues, PRs, and OpenAPI specs from the most popular public repos and documentation sites, refreshed continuously with most sources updated daily.
• Answers with passages. Every result carries a stable id, a url, and the matched passages in markdown, so your agents act on the answer without a second scrape.
• Rich filters in the API. Scope by result type, repository, documentation source, language, topic, license, minimum stars, and more. These are API-only; agents on the CLI and MCP perform best without them.
• Keyless to start. No API key needed to try it; add one for higher rate limits. A developer search costs 2 credits per 10 results. …

• Date: August 13, 2026

The Life Sciences category is now available in Firecrawl Research Index. It covers 41M+ papers across the drug discovery, clinical trial, and biology literature. Your AI agents get citable papers back for a query and can pull the full text on demand. The whole index is also free to use now.

Life Sciences in Firecrawl Research Index

Highlights

• High-recall retrieval. The index hits 90% recall@10 on our paper-retrieval eval, so your AI agents find more of what matters on the first page of results.
• Millions of life sciences papers. The corpus holds 41M+ papers from authoritative sources and refreshes daily, so your AI agents only cite domain-specific literature.
• Abstract to full text. Your AI agents search abstracts to find the right papers, then pull the full text to verify a claim against the source.
• No DIY stack. Research Index stands in for the source APIs plus the parsing and ranking you would otherwise build yourself.
• Free to use. Every category is free, the AI and ML literature it already carried alongside the new Life Sciences papers.
• Available everywhere you build. Query it through the API at /search/research, plus the CLI, MCP, and SDKs.

Read the full blog here.

• Date: July 22, 2026

Firecrawl /search now returns the excerpts that best answer your query from each result. Agents using it achieve state-of-the-art accuracy on SimpleQA while using 10x fewer tokens than processing full pages.

A major upgrade to /search

Highlights

• Custom relevance model — A custom model scores every paragraph, list, and table against your query, returning the most relevant excerpts structured and ready for your agent to use.
• State-of-the-art accuracy on SimpleQA — Agents using Firecrawl /search score 94.7% on SimpleQA, higher than any other provider.
• 10x fewer tokens than full pages — The relevant excerpts returned by /search take up far less of your agent's context window and are cheaper and faster to reason over.
• Nothing to change in your code — The API shape is unchanged, so existing /search calls get better results automatically.

Read the full announcement here.

• Date: July 1, 2026

Web-scale /monitor watches the entire web for you. Define search queries and a goal, and Firecrawl pings you or your agent the moment something new comes online.

Web-scale /monitor

Highlights

• Always-on web search — Give /monitor search queries and a goal, and it searches the entire web on your schedule, alerting you when something new matches.
• Tune recall and precision — queries control what each search pulls in, while goal decides which of those results actually alert.
• Webhook or email delivery — Get pinged the moment something new matches, with a plain-English explanation of why it matters.
• One endpoint replaces the DIY stack — Define your query once. Firecrawl handles the search, deduplication, filtering, and alerts.

Read the full documentation here.

• Date: June 24, 2026

Firecrawl v2.11.0 ships the Firecrawl Research Index, keyless endpoint access, automatic PII redaction, a deterministicJson format, and video discovery on any page - plus much more.

v2.11 Release

Highlights

• Firecrawl Research Index — Search across 3M+ arXiv papers and the GitHub code behind them (issues, merged PRs, and READMEs, refreshed daily), fetch a paper's details or related work, and check claims against full text. It has state-of-the-art recall on arXivQA, outperforming the next best provider by 18% at comparable cost.
• Keyless access for core endpoints — Use /scrape, /search, /interact, and /parse without an API key from official MCP, CLI, and SDK clients.
• Automatic PII redaction — A new redactPII option strips personal and sensitive data like names, emails, phone numbers, addresses, and secrets out of scraped content before it's returned.
• deterministicJson format — Get structured JSON without running an LLM on every request. Firecrawl generates a reusable extractor for your schema and caches it per site, so repeat scrapes are cheaper and return consistent results.
• Video discovery on any page — The video format now finds videos on any page, not just supported providers like YouTube, returning each video's URL, title, thumbnail, duration, and more.

Read the full changelog here.

• Date: June 16, 2026

Firecrawl Research Index is a specialized index for agents pushing the frontier of AI/ML research. It has state-of-the-art recall on arXivQA, outperforming the next best provider by 18% at comparable cost.

Research Index

Highlights

• Benchmark-leading performance — On arXivQA, the index hits 53.3% recall versus 45.4% for the next best provider. The index also scores 0.750 MRR, putting the right paper in the top one or two results.
• Search millions of papers alongside their code — The index includes 3M+ arXiv papers, plus GitHub artifacts from top research repos (issues, merged PRs, READMEs), refreshed daily.
• A complete toolset for research loops — Agents can retrieve papers, verify claims against full text, and pull code, going from literature to implementation with no manual review.
• Plugs into any agent harness — Works with Codex, Claude Code, Grok Build, and more.

Read the full documentation here.

• Date: May 26, 2026

Enter a URL, describe what you want to track, and /monitor notifies your AI agent via webhook the moment pages or sites change. Use up to 90% fewer LLM tokens by only ingesting what actually changes.

Monitoring

Highlights

• Set a goal in plain English — Describe what to watch, like "alert me when the Claude Code docs add new slash commands," and /monitor configures the URLs, schema, and schedule for you.
• Up to 90% fewer LLM tokens — Your agent only ingests what changes on a page, skipping unchanged content and noisy diffs.
• Any cadence, with cost upfront — 5 minutes, hourly, daily, or a custom cron schedule. The estimated monthly cost is shown before you turn a monitor on, so you know what you're committing to.
• Webhook or email delivery — Every change fires a signed webhook with custom headers and per-event subscriptions, or arrives by email with the diff in the body.
• Permalinks for every change — Diffs are first-class objects you can share with a teammate or hand straight to another agent.

Read the full documentation here.

• Date: May 15, 2026

Firecrawl v2.10 ships a new /parse endpoint, Lockdown Mode, Question and Highlights formats, and four new official SDKs (Go, Ruby, PHP, .NET) - plus a long list of reliability and security fixes.

v2.10 Release

Highlights

• /parse endpoint — Upload PDFs, Word docs, and spreadsheets up to 50 MB and get clean, LLM-ready Markdown, JSON, or summaries back. Powered by a new Rust-based engine that's up to 5x faster.
• Lockdown Mode — Set lockdown: true on /scrape to serve results exclusively from Firecrawl's index with no outbound requests and zero data retention by default. Available everywhere, including the CLI (--lockdown) and MCP.
• Question Format — Pass a natural-language prompt to /scrape and get a grounded answer back, with up to 100x fewer tokens per call.
• Highlights Format — Get back the exact sentences, code blocks, and table rows on a page that match your query, with original formatting preserved — also using up to 100x fewer tokens per call.
• Four New Official SDKs — Go, Ruby, PHP (with Laravel support), and .NET all joined the SDK family with v2 parity. The Rust SDK has been promoted to the official v2 SDK.

Read the full changelog here.

• Date: May 8, 2026

Highlights is a new format for /scrape that returns the exact sentences, code blocks, and table rows on a page that match your query, all while using up to 100x fewer tokens.

Highlights Format

Highlights

• Citable, hallucination-free output — Nothing in the response is rewritten, translated, or hallucinated. Every sentence is provably from the source page, in the page's own words.
• Code blocks and tables preserved — Consecutive sentences from the same block re-join into paragraphs, consecutive code lines wrap in fenced blocks with their original language, and table rows rebuild into Markdown tables with headers auto-included.
• Up to 100x fewer tokens per call — Returning just the matching lines instead of the full page lowers inference costs, speeds up responses, and keeps your context window lean.

Read the full documentation here.

See the benchmark here.

• Date: May 6, 2026

Question is a format for /scrape that returns high-quality, grounded answers from any web page using up to 100x fewer tokens.

Question

Highlights

• High-quality, grounded answers — question pulls the page content most relevant to your prompt and answers strictly from it, with zero hallucinations.
• Up to 100x fewer tokens per call — question returns just the answer, not the page, giving you significantly lower inference costs, faster responses, and a leaner agent context window on every request.
• Built for AI agents — Skip the scrape-parse-prompt pipeline. Drop precise, page-grounded answers straight into agent loops with a single call.
• Fully managed LLM stack — question runs on a managed model chain with automatic fallback and a production-tuned system prompt. Token usage and cost roll into the same billing surface as /scrape.
• Hardened against prompt injection — Page content is isolated with XML tagging and zero-width-space escaping, and the model is instructed to ignore any instructions embedded in the page.

Read the full documentation here.

• Date: April 30, 2026

Lockdown Mode is a cache-only option for /scrape that keeps security-sensitive requests inside Firecrawl. Set lockdown: true to serve results exclusively from Firecrawl's index, with zero data retention by default.

Lockdown Mode

Highlights

• No outbound request - Lockdown serves results from Firecrawl's index only and gates every outbound path, including HTTP and robots.txt.
• Zero data retention by default - URLs aren't persisted, response data isn't stored, and the scrape job is cleaned up after delivery.
• One flag, every surface - lockdown: true works the same across the API, every SDK (Python, Node, Go, Rust, Java, .NET, Ruby, PHP, Elixir), the CLI (--lockdown), and MCP.

Read the full documentation here.

• Date: April 28, 2026

The /parse endpoint turns documents into clean, structured data for AI agents and RAG pipelines. Powered by a new Rust-based engine that's up to 5x faster, it works across PDFs, Word docs, spreadsheets, and more.

/parse Endpoint

Highlights

• Clean, LLM-ready output — Get back Markdown, JSON, or a summary, with tables and reading order preserved. No post-processing required.
• Rust-based engine — A high-performance Rust core delivers up to 5x faster parsing, cutting latency in document ingestion and embedding workflows.
• Zero Data Retention support — Enterprise plans with ZDR enabled ensure parsed output is never stored, so data from contracts, medical records, and internal reports stays secure.
• Upload files up to 50 MB — Supports PDF, DOCX, DOC, ODT, RTF, XLSX, XLS, and HTML.

View the full documentation here.

• Date: April 16, 2026

Firecrawl web-agent is an open framework for building AI agents that search, scrape, and interact with the web. Powered by the same architecture behind our /agent endpoint.

Introducing firecrawl-agent

Highlights

• Bring any model — Anthropic, OpenAI, Google, or your own. You control the logic, tools, and infra.
• One command, full stack — $ firecrawl create agent gives you /scrape, /search, and /interact in a plan-act loop, parallel sub-agents for concurrent research, and your choice of Streaming UI, API server, or library templates.
• Teachable by design — Add Skill playbooks and your agent learns reusable routines. Paginate e-commerce sites, run multi-source research, and extract structured data your way.

Start building here.

• Date: April 14, 2026

Fire-PDF is a Rust-based parsing engine that converts any PDF - scanned, text-based, or mixed - into structured markdown, up to 5x faster.

Fire-PDF

Highlights

• 5x Faster — Our open-source Rust library pdf-inspector classifies each page in milliseconds and picks the fastest extraction path. Pages are processed in under 400ms on average.
• Layout-Aware Accuracy — A neural document layout model detects tables, formulas, text blocks, and headers individually. Tables get full markdown output, formulas are preserved in LaTeX, and reading order is predicted neurally.
• Zero Configuration — Every PDF sent through Firecrawl's API now goes through Fire-PDF automatically.

Read the full blog here.

• Date: April 10, 2026

Firecrawl v2.9.0 includes browser interaction via /interact, new scrape formats, smarter PDF handling, two new SDKs, and a long list of reliability fixes.

v2.9.0 Release

Highlights

• Browser Interaction via /interact — Scrape a page, then call /interact to click buttons, fill forms, navigate, or extract dynamic content. Use natural language or write Playwright / Bash code for full control. Sessions persist across calls with live view URLs and reusable browser profiles.
• Question Format — Pass a natural-language prompt to /scrape and get a direct answer back in data.answer.
• Audio Format — Request audio output from any scrape, returned as a field on the document.
• onlyCleanContent Parameter — Strip navigation, ads, cookie banners, and other non-semantic content from markdown output in a single flag.
• PDF Parsing Modes — Choose fast, auto, or ocr parsing with a maxPages option for fine-grained extraction control.
• Java & Elixir SDKs — Official SDKs with full v2 API support, joining JS, Python, Go, and Rust.

Read the full changelog here.