Firecrawl vs Reworkd AI

Detailed side-by-side comparison to help you choose the right tool

Firecrawl

πŸ”΄Developer

Web Scraping & Data Extraction

Firecrawl is the context API for AI agents that turns any website into clean Markdown or structured JSON. It handles crawling, scraping, extraction, and search across dynamic and JavaScript-heavy pages so agents can ingest live web data without wrestling with browsers, proxies, or brittle selectors. Firecrawl exposes both a REST API and an official Model Context Protocol (MCP) server so any MCP-compatible client β€” Claude, Cursor, Windsurf, VS Code β€” can crawl the web natively.

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Starting Price

Free

Reworkd AI

🟑Low Code

Web Automation Tools

Reworkd AI is an AI-powered browser agent for extracting structured data from websites at scale, with published pricing and a public sunset notice that makes current availability uncertain.

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Starting Price

Free

Feature Comparison

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FeatureFirecrawlReworkd AI
CategoryWeb Scraping & Data ExtractionWeb Automation Tools
Pricing Plans396 tiers8 tiers
Starting PriceFreeFree
Key Features
  • β€’ Web Scraping and Crawling Engine
  • β€’ LLM-Ready Markdown Conversion
  • β€’ Structured Data Extraction
  • β€’ Tool and API Connectivity
  • β€’ State and Context Handling
  • β€’ Observability

πŸ’‘ Our Take

Choose Reworkd AI if you need browser-agent-style extraction for dynamic websites with pagination, infinite scroll, proxies, CAPTCHA solving, and a managed extraction pipeline. Choose Firecrawl if your priority is turning websites into clean crawlable content for LLM apps or retrieval workflows, especially if you need an actively maintained option for new deployments after Reworkd’s published sunset date.

Firecrawl - Pros & Cons

Pros

  • βœ“Returns Markdown and schema-shaped JSON designed for LLM pipelines
  • βœ“Scrape, crawl, map, search, and extract cover several collection patterns
  • βœ“Official MCP support lowers integration effort for compatible agent clients
  • βœ“Open-source code offers a self-hosting path alongside managed cloud

Cons

  • βœ—Credit prices and quotas in staging could not be verified during this run
  • βœ—Anti-bot protections and site changes can still cause incomplete results
  • βœ—Large crawls require careful scoping, deduplication, and cost controls
  • βœ—Users remain responsible for robots rules, terms, copyright, privacy, and data rights

Reworkd AI - Pros & Cons

Pros

  • βœ“Published free Hobby tier includes 10 concurrent browsers, 30-day data retention, API access, CAPTCHA solving, scheduled jobs, and fully managed operation.
  • βœ“Pro tier increases capacity to 50 concurrent browsers and 90-day data retention for $99/month, giving teams a clear upgrade path for higher-volume extraction.
  • βœ“The platform automates the full extraction pipeline: scanning websites, generating code, running extractors, validating results, and outputting structured data.
  • βœ“Self-healing scrapers are designed to identify website content changes, detect extraction issues, and repair data failures without constant manual selector maintenance.
  • βœ“Infrastructure pricing is disclosed on the website, including $0.125/GB standard proxies, $8/GB premium proxies, $0.10/hour compute, and $5 per 1,000 antibot solves.
  • βœ“Reworkd’s site cites 533,029,180 rows of data extracted and a customer quote describing hundreds of thousands of regulation PDFs downloaded every month.

Cons

  • βœ—The website states that the product will be sunset on February 6, 2025, making it unsuitable for most new long-term deployments without direct confirmation from Reworkd.
  • βœ—Usage costs can grow beyond the $99/month Pro subscription because proxy bandwidth, compute time, and antibot solving are separately priced.
  • βœ—Enterprise pricing is custom, so teams needing custom retention, custom concurrency, Slack support, or a fully managed solution must contact sales for a firm quote.
  • βœ—The public website does not provide detailed documentation in the scraped content for supported export destinations, authentication workflows, or compliance controls.
  • βœ—The product’s broad automation promise may still require careful migration planning for teams that depend on it for recurring production data pipelines after the sunset date.

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πŸ”’ Security & Compliance Comparison

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Security FeatureFirecrawlReworkd AI
SOC2βœ… Yes❌ No
GDPRβœ… Yes❌ No
HIPAAβ€”βŒ No
SSOβ€”β€”
Self-HostedπŸ”€ Hybrid❌ No
On-Premβœ… Yesβ€”
RBACβ€”β€”
Audit Logβ€”β€”
Open Sourceβœ… Yes❌ No
API Key Authβœ… Yes❌ No
Encryption at Restβœ… Yesβ€”
Encryption in Transitβœ… Yesβ€”
Data Residencyβ€”β€”
Data Retentionconfigurableβ€”
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