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Browserbase alternatives

4 projects to consider for your Browserbase workflows.

4 open source

Explore Firecrawl, Browser Use and Crawl4AI. Each takes a different approach to your Browserbase workflows. Read its capabilities and limitations to find the right fit.

Catalogue facts checked August 31, 2026

New

Firecrawl

Turn any website into clean, model-ready data

Open sourceAGPL-3.0Self-hosted

Firecrawl fits teams building LLM features on web content who want one API for search, extraction, crawling, and site mapping. Its scrape pipeline renders JavaScript, clears anti-bot checks, and returns clean markdown or typed JSON. The credit model bills every pipeline stage separately, and the fastest engine plus agent features stay cloud-only. Code teams should start with the free tier; teams without developers should choose a visual extractor instead.[1][2][3][4][5][6]

Good fit. We would evaluate Firecrawl for RAG and agent teams that need clean markdown or schema-guided JSON input text now, since extraction is the stage most pipelines build first and Agent effort levels match spend to question difficulty.[1][2]

Keep in mind. Non-technical teams that need point-and-click extraction should look elsewhere: Firecrawl is API-first, and one independent comparison steers teams without developers toward visual tools such as Thunderbit or Octoparse. That recommendation is single-sourced.[1][2]

Repository review signals: unknown status, very stale · Observed August 31, 2026.

Sources and editorial review

Source research. Reviewed on October 6, 2026. Written by Sanjib Sah. AI assisted; reviewed by a human editor.

We have not run or tested this product.

One original firsthand report: GitHub issue firecrawl-4950, opened October 5, 2026, describing a Python SDK keyless-auth failure found during a Langroid integration fix. One attributed secondhand summary of r/LocalLLaMA sentiment from an independent comparison, unverified. Purposive sample of one original report plus one attributed secondhand summary. Reddit and Hacker News threads were login-blocked or unlocated during research, so broader sentiment is unknown. The GitHub issue was open at observation and its resolution is unknown. Vendor homepage testimonials did not render verifiable text and are excluded. The affiliate comparison discloses ScraperAPI affiliate links; its secondhand quotes are not reused.

  1. Firecrawl - turn websites into LLM-ready data

    official · Observed October 6, 2026

    Official homepage: web-data infrastructure for AI; scrape, search, crawl/map; vendor benchmark 96 percent on vendor dataset across 1,000 URLs, P95 3,387 ms, January 13, 2026; free 1,000 credits/month; from $19/month; credit costs; MCP, CLI, skills; batch scrape; Fire-engine cloud layer.

  2. Firecrawl pricing

    official · Observed October 6, 2026

    Official pricing: Hobby $19/month monthly or $16 annual (5,000 credits/month); Standard example $83/month annual (100,000 credits); free 1,000/month; per-stage credit table; $5 overage increments; 90-day retention (7 free). Terms effective September 4, 2026.

  3. Firecrawl documentation introduction

    official · Observed October 6, 2026

    Docs introduction: LLM-ready markdown, structured data, screenshots; search with full content; scrape with JS, PDFs, actions; interact via prompt or code; managed proxies, anti-bot, rendering; MCP server.

  4. Firecrawl repository README

    official · Observed October 6, 2026

    Repository README at 189,077 stars: AGPL-3.0 core, MIT SDKs; search/scrape/interact/agent/crawl/map/batch endpoint table; Agent evolved from /extract; spark-2 reasoning; nine SDK languages; Lovable/Zapier/n8n integrations; robots.txt respected by default.

  5. Firecrawl self-hosting deployment guide

    official · Observed October 6, 2026

    Self-hosting deployment guide: Docker Compose pin v2.11.162, localhost:3002, PostgreSQL queue; scrape/crawl/map/search included; Fire-engine, screenshots, actions excluded; Agent/Browser need cloud; BYOK; production needs rate limiting, auth proxy, monitoring; no minimum host size stated.

  6. ScraperAPI vs Firecrawl comparison

    community · Observed October 6, 2026

    Third-party ScraperAPI-vs-Firecrawl comparison with disclosed affiliate links. Used only for: per-stage billing caution, non-technical visual-tool recommendation, and attributed r/LocalLLaMA summary. Its uncited Scrapeway/Proxyway figures and secondhand quotes are not reused.

  7. Firecrawl Python SDK keyless issue 4950

    community · Observed October 6, 2026 · Published October 5, 2026

    Original bug report opened October 5, 2026, open at observation: Python SDK raises without API key despite keyless v2 server support; found during Langroid fix. Reporter handle did not render; attributed by permalink and date.

Browser Use

Let AI agents drive a real browser

Open sourceMITSelf-hosted

Development teams whose web tasks sit behind logins, CAPTCHAs, or client-side rendering benefit most from Browser Use. Its real-browser control with profile sync, stealth cloud browsers, and a choice of any model handles authenticated flows that plain HTTP scripts cannot reach. The material constraint is operating cost and code: every run burns model tokens plus browser time, and every task is Python code or an API call, so non-developers should look elsewhere. If you have Python capacity, start with the free MIT library and pay only inference and browser time; if you want browsers and agents managed for you, use the pay-as-you-go Cloud with credits from $5 and no subscription.[1][2][3][4]

Good fit. Teams building agents that must work inside authenticated accounts will love it, because session persistence and recovery target exactly that pain.[1][2]

Keep in mind. Non-technical operators should avoid the library itself, because every task is Python code with API keys and a Playwright browser to install.[1]

Repository review signals: unknown status, very stale · Observed August 31, 2026.

Sources and editorial review

Source research. Reviewed on October 9, 2026. Written by Sanjib Sah. AI assisted; reviewed by a human editor.

We have not run or tested this product.

  1. Browser Use - Enable AI to control your browser

    official · Observed October 9, 2026

    Official product site re-observed October 2026. Used for definition, three consumption paths, credit model ($5 top-up, no subscription/expiry), $0.02/browser-hour infra, 8.1M downloads/month and profile-sync claims.

  2. Browser Use Pricing

    official · Observed October 9, 2026

    Official pricing page re-observed October 2026. Pricing model changed since rev 1: pay-as-you-go credits from $5, no subscriptions, no expiry; browsers billed per whole minute; residential proxies $5/GB; 20% fee on token rates; small one-time free credit for eligible new signups.

  3. Browser Use quickstart docs

    official · Observed October 9, 2026

    Official quickstart re-observed October 2026. Used for install/agent/session claims, any-provider and local-model setup, auth/cookie profile sync, and the not-no-code answer.

  4. browser-use/browser-use on GitHub

    official · Observed October 9, 2026

    Upstream repository README re-observed October 2026. Used for MIT license, 117,370 stars, Python-library-free framing, any-LLM claims, and self-host with own keys.

Crawl4AI

Open-source web crawler that turns pages into LLM-ready markdown

Open sourceApache-2.0Self-hostedManaged hosting

Crawl4AI is the owned-crawler answer to web-to-LLM ingestion: pages become clean markdown and typed JSON through deep crawling, schema or model extraction, and browser sessions the operator controls. We would evaluate it when running the crawler matters more than avoiding infrastructure, since sessions, proxies, and crawl strategy stay in the reader's hands. The tradeoff is operational and skill-shaped: the team runs browsers and proxies, Python async has a learning curve, and the Cloud-only search and answer endpoints have no library equivalent. If the team wants crawl output without that burden, the credit-billed Cloud API is the alternative to price against self-hosting.[1][2][3]

Good fit. We would evaluate Crawl4AI for RAG and agent teams that need clean markdown or schema-guided JSON input now, since extraction is the stage most pipelines build first and the page-to-markdown path removes the cleaning layer the team would otherwise build.[1][2]

Keep in mind. Non-technical teams that need point-and-click extraction should look elsewhere: Crawl4AI is code-first with an async and browser-automation learning curve, and one hands-on report confirms that curve even while praising the documentation.[1][2]

Repository review signals: unknown status, very stale · Observed October 3, 2026.

Sources and editorial review

Source research. Reviewed on October 9, 2026. Written by Sanjib Sah. AI assisted; reviewed by a human editor.

We have not run or tested this product.

One inspected firsthand report: an October 2025 hands-on Medium walkthrough by Sai Krishna Reddy Mudhiganti (Staff AI/ML Engineer) covering lifecycle hooks, session persistence, deep adaptive crawling, async bulk crawling, the learning curve, and a persistent-profile browser-tab quirk. No Reddit or G2 original was located. Purposive sample of one hands-on walkthrough; no original Reddit or G2 report was located within budget, so broader sentiment is unknown. The walkthrough is a single firsthand account, not a prevalence signal, and the reported persistent-profile quirk was not re-checked for resolution. Star counts differ between the catalogue record and the rendered homepage and are excluded from prose. Cloud pricing is soft-launch and may change after observation.

  1. Crawl4AI - open-source crawler, now hosted

    official · Observed October 9, 2026

    Official homepage: same-engine hosted Cloud with scrape, extract, search, answer (experimental) and serp (beta) endpoints; MCP, CLI, and agent wiring; Apache-2.0 self-host via pip on own boxes and proxies; credits-not-seats billing with 20 free credits, Free tier 2,500 credits/month at 10/min, $10 free-credit offer; soft-launch prices can change; EU, Singapore, US; Python 3.10-3.13; Discord community link.

  2. Crawl4AI documentation

    official · Observed October 9, 2026

    Docs home for the v0.9.x generation: quick start, installation, self-hosting guide, CLI, simple/deep/adaptive crawling, markdown generation, page interaction, proxy and security, session management, multi-URL dispatch, LLM and no-LLM extraction strategies, chunking.

  3. Crawl4AI installation guide

    official · Observed October 9, 2026

    Installation section of the docs alongside the self-hosting guide entry; supports the pip-based install and Docker self-hosted server path.

  4. Crawl4AI: The AI-Ready Web Crawler I Did Not Know I Needed

    community · Observed October 9, 2026 · Published October 15, 2025

    Hands-on October 2025 walkthrough by a Staff AI/ML Engineer: lifecycle hooks, session persistence, deep/adaptive crawling and async bulk crawling praised; a persistent-profile browser-tab quirk and an async learning curve with excellent docs reported; strongly positive overall verdict. Firsthand community evidence, not a testimonial-platform quote.

Steel

Open-source browser API for AI agents and apps

Open sourceApache-2.0Self-hostedManaged hosting

Steel is an open-source browser API for AI agents that manages sessions, proxies and stealth behind a REST, CDP, Puppeteer, Playwright and Selenium interface. It suits teams that want to self-host browser infrastructure under Apache-2.0 or use Steel Cloud, with the caveat that it is in public beta and enterprise terms are undocumented.[1][2][3]

Good fit. Teams building AI web agents that need persistent authenticated sessions with proxy rotation and stealth rather than one-off page fetches.[1][2]

Keep in mind. Steel is in public beta and describes itself as evolving every day, so APIs and behavior may change under you.[1]

Repository review signals: unknown status, stale · Observed October 13, 2026.

Sources and editorial review

Source research. Reviewed on October 13, 2026. Written by Sanjib Sah. AI assisted; reviewed by a human editor.

We have not run or tested this product.

  1. Steel - Open-source browser API

    official · Observed October 13, 2026

    Official homepage positions Steel as the open-source browser API for AI agents and apps, linking docs and GitHub with live sessions, proxies and integrations.

  2. Steel browser README

    official · Observed October 13, 2026

    README details session, scrape, screenshot and PDF APIs, Playwright and Selenium compatibility, proxies and stealth, Steel Cloud accounts, Docker deploys and Apache 2.0 licensing in public beta.

  3. Steel documentation introduction

    official · Observed October 13, 2026

    Docs introduction describes open-source self-hosting or Steel Cloud, session and concurrency model, user-provided API keys, and undetectable proxy-backed browsing.

Compare Browserbase alternatives

Known catalogue facts at a glance. Columns with no reviewed values are omitted. “Not reviewed” means unknown, not that a capability is absent.

Known facts for Browserbase alternatives
ProjectLicense policyHostingDeploymentEnterprise supportBest fit
FirecrawlAGPL-3.0 · OSI-approvedSelf-hostedNot reviewedNot reviewedNot reviewed
Browser UseMIT · OSI-approvedSelf-hostedNot reviewedNot reviewedNot reviewed
Crawl4AIApache-2.0 · OSI-approvedSelf-hosted + ManagedmoderateYesFeeding websites to RAG pipelines and AI agents; Pulling typed JSON from pages without writing selectors
SteelApache-2.0 · OSI-approvedSelf-hosted + ManagedeasyNot reviewedAI web agents that browse the web; Browser automation for apps

Before you switch

  • Check that the project covers the workflows and data you need to move.
  • Confirm that the license terms fit how you plan to run, modify, and distribute it.
  • Choose between self-hosting responsibility and a reviewed managed option.
  • Open the project page for repository freshness, review dates, and any unresolved requirements.

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Explore projects grouped around common requirements.

Best overall by organic score

Firecrawl, Browser Use

About Browserbase

Browserbase runs the browsers so you do not have to. Sessions, proxies, captcha handling, and stealth configuration are managed, which removes the least interesting and most fragile part of building anything that scrapes or automates the web.

It is billed per browser hour, so cost tracks how long agents sit idle with a page open, which is a habit worth watching.

Browserbase · Free tier, paid from $99/month plus browser hours · Checked August 31, 2026

Official website
How this list is ordered

Recommended · Organic catalogue order.

A deterministic editorial score using relationship confidence, category fit, logarithmic popularity, as-of maintenance and freshness, with bounded anomaly quarantine and known-data penalties. Payment is fixed at zero.

Payment does not affect organic ranking. Order is a starting point, not a universal recommendation.

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