Open source alternative to Firecrawl, Apify, Zyte, ScrapingBee and Browserless
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Run a self-hosted scraping engine that bypasses Cloudflare, CAPTCHAs, and browser challenges, with MCP tools, session caching, and a live dashboard.
*arr clients like Prowlarr, Jackett, Sonarr, and Radarr query Cloudflare-protected indexers continuously. Trawl's /v1 FlareSolverr-compatible endpoint connects with one URL change, and session reuse means each indexer check after the first solve takes milliseconds rather than 10-12 seconds.
If your indexers are not behind Cloudflare or other bot-detection walls, a standard FlareSolverr install is sufficient and simpler to operate.
MCP-compatible AI agents connect to Trawl's six tools (read, scrape, extract, screenshot, inspect, scrape_url) over Streamable HTTP and retrieve Markdown, structured JSON, or screenshots from any URL, including challenge-protected pages. Trawl loads known public URLs; it does not perform web search.
If your agent's data sources are APIs or structured feeds rather than HTML pages, Trawl adds complexity without benefit. Use it when unstructured web pages behind bot-detection walls are the target.
Applications that check prices, availability, or content on Cloudflare-protected sites hit per-request cloud costs at scale. Trawl's self-hosted model eliminates per-request billing, and the tier engine reuses clearance to minimize browser-open time and proxy use.
For one-off or low-frequency scraping needs where operational overhead matters more than per-request cost, a managed API service removes the need to operate your own scraping infrastructure.
Firecrawl, ScrapingBee, and similar services offer managed scraping with no server to operate. Trawl provides a self-hosted path for teams that need data to stay within their own infrastructure, face compliance requirements, or need customization that hosted APIs do not expose.
If you need managed scale across geographically distributed exit nodes, or a fully managed crawl queue without server ops, a hosted commercial service fits better.
Web scraping against challenge-protected sites has two distinct problems. The first is the challenge itself: Cloudflare interstitials, Anubis proof-of-work walls, CAPTCHA widgets, and JavaScript checks block standard HTTP clients entirely. Commercial scraping APIs like Firecrawl, Apify, and Zyte handle these for you, but their per-request or per-compute-unit pricing becomes expensive for any application that polls hundreds or thousands of URLs per day.
The second problem is session reuse. Most scraping tools treat each request independently, discarding accepted browser clearance and re-running the full challenge solve on the next fetch. FlareSolverr and Byparr take 10-12 seconds per Cloudflare-protected page because they open a fresh browser context every time. For *arr media stacks that check dozens of indexers every few hours, that slowness compounds across every request in the queue.
Trawl starts each request with plain HTTP and escalates only when needed: HTTP first, then cached clearance replay, then a fresh browser solve, then a residential proxy. Accepted Cloudflare and Anubis clearance is cached in Redis or memory and reused on subsequent requests to the same domain. On repeat fetches to a Cloudflare-protected site like 1337x, that reuse cuts response time from 11 seconds (FlareSolverr) to 85ms, measured on the same machine in published benchmarks.
Built-in handling for Cloudflare, Anubis, Akamai, Imperva, DDoS-Guard, and supported AWS WAF and DataDome flows. CAPTCHA solvers cover Turnstile, reCAPTCHA v2 audio, hCaptcha auto-pass and audio, GeeTest Slide, ALTCHA, Friendly Captcha, and CAP widgets. Provider-specific challenge flows run in a Camoufox Firefox context with C++-level fingerprint patches. Persistent protection walls are reported as failures rather than silently retried.
Six Streamable HTTP MCP tools (read, scrape, extract, screenshot, inspect, and scrape_url alias) connect any MCP-compatible AI agent to Trawl's scraping and challenge-bypass engine. Agents can retrieve Markdown or plain text, scrape raw HTML, extract structured JSON records with CSS selectors, capture viewport or full-page screenshots, and inspect browser activity. Enable with one environment variable: MCP_ENABLED=true.
Named sessions retain cookies, localStorage, and sessionStorage between requests and preserve login state out of the shared clearance cache. A session can keep a page open across requests with keepPage: true for JavaScript eval. Sessions expire when idle, obey capacity limits, and are invalidated under memory pressure. The /scrape endpoint and /v1 FlareSolverr-compatible endpoint both accept a sessionId parameter.
The /v1 endpoint implements the FlareSolverr request and session API, so Prowlarr, Jackett, and other *arr tools connect by changing one URL in their configuration. Trawl prioritizes page delivery over optional embedded CAPTCHA solving on this path. Named sessions work on /v1 as well, so multi-step indexer flows that require session state also work without additional configuration.
A persistent request history dashboard at /dashboard shows the winning tier, failure causes, and timings for every handled request. Metrics survive container recreation through a Docker volume mount. Live updates arrive without a page refresh, and raw data is exportable as JSON. Stored URLs are domain-scoped for privacy, not full paths.
Firecrawl is an API-first scraping service that converts websites to LLM-ready markdown or JSON, designed for RAG pipelines and AI applications. Both tools retrieve web content, but serve different deployment models and prioritize different problems.
| Feature | TRAWL | Firecrawl |
|---|---|---|
| Self-hosting | Yes (Docker) | Yes (limited vs cloud API) |
| Scraping focus | Challenge bypass and content retrieval | LLM-ready structured extraction |
| MCP tools | Yes, 6 built-in | No |
| FlareSolverr compat | Yes (/v1) | No |
| License | AGPL-3.0 | Proprietary cloud API |
TRAWL is the stronger fit when you need Cloudflare bypass with session reuse, MCP integration for AI agents, or a FlareSolverr-compatible endpoint for *arr stacks. Firecrawl is worth considering when you need a managed crawl pipeline with built-in job queuing, automatic sitemap discovery, and batch extraction through a hosted API, without operating server infrastructure.
Browserless is headless Chrome-as-a-service with Playwright and Puppeteer support. Its focus is remote browser control for automation; Trawl's focus is content retrieval from challenge-protected pages.
| Feature | TRAWL | Browserless |
|---|---|---|
| Self-hosting | Yes (Docker) | Yes (hosted or self-hosted) |
| Primary use case | Challenge bypass and content retrieval | Remote browser control |
| Challenge handling | Native multi-provider bypass | Manual browser access |
| MCP tools | Yes, 6 tools | No documented MCP |
| Playwright/Puppeteer API | No | Yes |
TRAWL fits when challenge bypass and fast clearance reuse are the goal. Browserless fits when you need full remote browser control through the Playwright or Puppeteer API: UI testing, form automation, complex multi-step site navigation, or any workflow that requires browser-level scripting beyond content retrieval.
Apify, Zyte, and ScrapingBee are managed cloud platforms for web scraping and data extraction. They offer hosted browser pools, geographically distributed proxies, and no server to operate. TRAWL does not replace them for teams that need managed scale, a global proxy network, or a no-ops pipeline. The tradeoff is data control and cost: TRAWL runs on your own infrastructure with no per-request billing and no data routed through external services.
Self-hosting runs on Docker using the official image from GitHub Container Registry.
```bash
docker run -d --name trawl \
-p 127.0.0.1:8191:8191 \
--shm-size=1gb \
-e SESSION_CACHE_DRIVER=memory \
-e BROWSER_POOL_SIZE=1 \
-e MCP_ENABLED=true \
-e METRICS_DASHBOARD_ENABLED=true \
-v trawl_metrics:/data/metrics \
ghcr.io/germondai/trawl:1.11.1
```Yes. The /v1 endpoint implements the FlareSolverr request and session API. Set your Prowlarr or Jackett FlareSolverr URL to http://trawl:8191 (or the Trawl host address on your network) and existing indexer configurations continue to work without further changes. Trawl's /v1 path prioritizes page delivery and skips optional embedded widget solving by default.
No. Built-in solvers handle Cloudflare interstitials, Turnstile, reCAPTCHA v2 audio, hCaptcha auto-pass and audio, GeeTest Slide, ALTCHA, Friendly Captcha, and CAP without an external paid provider. An optional 2Captcha integration adds coverage for declarative reCAPTCHA v2 Enterprise and supported Turnstile variants; it is disabled unless you provide a provider key.
The default configuration starts one warm browser. The README benchmarks show 991 MiB peak working RAM and 1291 MiB peak total memory, including Redis, on a standard workload. A 2 GB VPS or server is a reasonable minimum. A :baseline Docker image is available for older x86 CPUs and NAS hardware. For higher throughput, increase BROWSER_POOL_SIZE and add Redis for persistent clearance caching across restarts.
AGPL-3.0 is an OSI-approved open source license. You can self-host Trawl for internal use, including commercial and team applications, without restriction. The license requires publishing source changes if you distribute a modified version or run a modified version as a network service for others. For teams running Trawl for their own applications without modification, there are no additional constraints beyond the license terms.
Yes. When a site returns ordinary HTTP responses, Trawl fetches them directly at Tier 1 without opening a browser, making it fast for ordinary pages. The /scrape endpoint, the /v1 FlareSolverr-compatible path, the MCP tools, the HTTP/HTTPS forward proxy, and isolated browser sessions all work across both challenge-protected and ordinary pages.
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