AI/ML
Data/Analytics
DevTools/Cloud

Firecrawl

Web data infrastructure for AI applications

CORE INFO

$91.2M
Total Funding
Series B
Round
2022
Founded
>10
Team Size
San Francisco, CA
Headquarters

Firecrawl sells APIs and hosted tools to teams building AI applications and agents. The platform turns live websites and documents into machine-readable content that developers can use for search, retrieval, automation, and AI workflows.

  • Series B: $75 million announced on September 22, 2026, led by Smash Capital, with participation from Altos Ventures, Nexus Venture Partners, Y Combinator, Freestyle, and Offline Ventures.siliconangle.com
  • User base: More than 1.5 million users, according to third-party coverage of the Series B.dealroom.co
  • TechCrunch reported that Firecrawl raised a $14.5 million Series A led by Nexus Venture Partners in August 2025.techcrunch.com

WHY WE WOULD WORK AT FIRECRAWL

Build AGI's Eyes

Help make the live web usable by AI through search, scraping, crawling, browser automation, and Alexandria's knowledge-access layer. Your work directly advances Firecrawl's mission to make web data clean, scalable, and real time.

Shape a Fast-Growing Platform

Firecrawl grew from a 2022 YC startup into a Series B company with at least $91.2M raised and more than 1.5 million users. You'll help define the next chapter of a rapidly expanding AI infrastructure platform.

Engineer Hard Problems

Tackle real infrastructure challenges involving JavaScript rendering, managed proxies, rate limits, parsing, normalization, indexing, and agent interaction. Firecrawl turns messy websites and documents into Markdown, JSON, HTML, screenshots, and extracted data.

Work With Builders

About 80% of the team has a developer background and 80% are former founders, creating a highly technical, ownership-driven environment. The company is intentionally lean, aiming for major scale with fewer than 50 people.

Champion Open Source

Contribute to an AGPL-3.0 open-source project that has earned more than 150,000 GitHub stars and ranks among GitHub's top repositories. Firecrawl's developer-first approach reaches users through APIs, SDKs, CLI tools, and MCP integrations.

Create Broad AI Impact

Your work can power products used by Shopify, Canva, Apple, DoorDash, Replit, Zapier, and more than 150,000 companies. Firecrawl supports applications spanning research, coding agents, customer support, lead enrichment, government data, and enterprise knowledge bases.

MARKET AND TRACTION

GROWTH TACTICS

  • Firecrawl combines an AGPL-3.0 open-source version with a freemium, usage-based hosted API and SaaS model, using developer adoption to support cloud-service growth.

  • Distribution is strengthened through SDKs, a CLI, an MCP server, and integrations with tools including Cursor, Claude Code, Windsurf, Codex, Zapier, n8n, and Lovable.
  • NOTABLE CUSTOMERS

  • Publicly identified customers and users include Shopify, Canva, Apple, Alibaba, DoorDash, You.com, Sprinklr, Cognism, Ada, Botpress, Zapier, Replit, Lovable, Gamma, and Contentful.

  • Firecrawl's Series A coverage specifically cited Shopify, Replit, and Zapier as users, while its customer materials also feature enterprise and AI companies such as Sierra, Stack AI, and Aleph Alpha.
  • KEY METRICS

    ✦ KEY METRIC
  • Firecrawl has raised at least approximately $91.2 million, including a $75 million Series B announced in September 2026 and a $14.5 million Series A announced in August 2025.

  • The company reports more than 1.5 million users, more than 150,000 companies using Firecrawl, more than 5 billion requests served, and more than 150,000 GitHub stars.

  • Additional reported scale includes more than 2.5 million weekly downloads across npm and PyPI and more than 400,000 MCP-server installations.
  • COMPETITIVE ADVANTAGE

  • Firecrawl abstracts complex web-data infrastructure—including JavaScript rendering, crawling, browser automation, proxy management, rate limits, parsing, extraction, and normalization—behind APIs for AI applications and agents.

  • Its platform extends beyond scraping through search, structured extraction, monitoring, document parsing, specialized indexes, and Alexandria, a knowledge-access layer combining live web data, official providers, connectors, and Firecrawl indexes.
  • MARKET POSITION

  • Firecrawl positions itself as web-data infrastructure for AI applications and agents, serving use cases across RAG, research, customer support automation, coding agents, sales enrichment, competitive intelligence, e-commerce, government, education, and life sciences.

  • The company is expanding from website crawling into agent-oriented search, browser interaction, domain-specific indexes, monitoring, and broader knowledge access.
  • PRODUCT AND TECH

    Web Data APIs

    Search, Scrape, Crawl, and Map APIs convert live websites into Markdown, HTML, screenshots, metadata, and structured JSON. They provide machine-readable web content for AI applications and agents.

    Browser Automation

    Firecrawl's Interact capabilities let AI agents navigate dynamic websites, click, type, scroll, wait, and complete browser-based workflows. Managed proxies, JavaScript rendering, and rate-limit handling support reliable access at scale.

    Document Extraction

    Document parsing and Extract process PDFs, DOCX files, spreadsheets, webpages, and other sources into structured, schema-defined data. This supports RAG systems, knowledge bases, research, and enterprise workflows.

    Knowledge Indexes

    Firecrawl provides specialized Research, Developer, Government, and other indexes for domain-specific retrieval. Alexandria combines live web data, official providers, connectors, and Firecrawl indexes into a broader knowledge-access layer.

    Open Source Infrastructure

    The AGPL-3.0 open-source platform, REST APIs, SDKs, CLI, and MCP server give developers multiple ways to integrate Firecrawl. Hosted enterprise services add security controls, SLAs, dedicated support, and zero-data-retention options.

    COMPANY CULTURE

    Values

  • Developer-first product design

  • Open-source participation and community building

  • Making web knowledge accessible to AI

  • Building infrastructure with lasting impact
  • Operating Principles

  • Ship quickly and iterate continuously

  • Stay lean and founder-led

  • Prioritize practical, scalable infrastructure

  • Build for real-time reliability and developer trust
  • Work Style

  • Small, technically oriented teams

  • High ownership and autonomy

  • Strong focus on execution and shipping

  • Infrastructure-first problem solving
  • Team Profile

  • Approximately 80% of the team are former founders

  • Approximately 80% have developer backgrounds

  • Designed to pursue ambitious growth with fewer than 50 people

  • San Francisco-based with a distributed, startup-oriented operating model
  • Learning And Growth

  • Exposure to web data, AI agents, search, and browser automation

  • Opportunities to contribute to open-source products

  • Work across rapidly evolving AI infrastructure challenges

  • Learn by building and iterating in production