BrowserAct

No-code AI web scraping that builds reusable bots from a plain-language description

Beginner API
Screenshot of BrowserAct, No-code AI web scraping that builds reusable bots from a plain-language description

What is BrowserAct?

BrowserAct turns a written description into a reusable, self-healing web scraper. The AI agent maps the site, tests a Bot, and returns structured data as CSV or JSON, with scheduled runs, change alerts, cloud browser sessions and proxy support handled for you.

BrowserAct is a no-code web scraping platform built around a simple loop: describe the data you want, and the AI agent explores the target site, works out which fields matter, and returns a tested Bot you can rerun. The build step is a prompt, not a selector editor, so a user can ask for product names, prices, stock status and ratings from a category page and get a spreadsheet back without writing code or mapping a DOM. Costs are metered in credits. Building a Bot is quoted at 320 credits, while a single run is 20 credits, roughly 6 percent of the build, which makes repeated scheduled collection the cheap part once the extraction logic exists. When the underlying page shifts its layout, the self-healing layer tries to relocate the data rather than forcing a rebuild. Adding a field later is handled conversationally: ask for customer ratings and the new column arrives highlighted in the same table. The platform is aimed at people who need recurring structured data rather than a one-off scrape: ecommerce and sourcing teams tracking competitors, prices and stock, growth and sales teams assembling lead lists, and researchers watching launches, creators, jobs or ad libraries. It is also positioned as infrastructure for AI agents, with documented connection paths for Claude Code, Codex CLI and Cursor so a local agent can drive a real browser session. Under the hood it leans on infrastructure most DIY scrapers struggle with: cloud-hosted Chromium sessions that run 24/7 and concurrently, browser stealth with 30 or more consistent fingerprint attributes, residential proxies, and automatic handling of reCAPTCHA, Turnstile and DataDome. Two session modes cover sites that sit behind a login. Results leave as CSV or JSON and can be pushed onward through APIs, webhooks, Make, n8n, Zapier, Google Sheets, Airtable or MCP. It sits closer to managed extraction services than to browser automation frameworks, trading configuration control for speed of setup.

How do you use BrowserAct?

  1. 1Create an account and open the builder
    Sign up from the homepage to reach the workspace. The builder is the starting point for every Bot, and there is nothing to install because extraction runs in the cloud.
  2. 2Describe the data in plain language
    Paste the target URL and write what you want back, for example headphone names, prices and stock. The AI agent explores the site and identifies the matching fields.
    BrowserAct — Describe the data in plain language
  3. 3Test the generated Bot
    Review the fields the agent proposed and run a test. The build is quoted at 320 credits, and you receive a working Bot with a defined output shape.
  4. 4Run it and check the spreadsheet
    Set the parameters such as number of products, run the Bot for 20 credits, and inspect the resulting table before wiring it into anything.
  5. 5Add fields by asking
    Request an extra field such as customer ratings. The agent updates the Bot and the new column appears highlighted in the same spreadsheet.
  6. 6Schedule and connect the output
    Set a recurring schedule with email alerts on change, then deliver results to Sheets, Airtable, Make, n8n, Zapier, a webhook or an API.

Pros and cons

Pros

  • Prompt-based Bot building removes the selector work that makes conventional scrapers brittleAI
  • Runs cost about 6 percent of a build, so frequent scheduled collection stays inexpensiveAI
  • Self-healing extraction keeps results flowing when a target site changes its layoutAI
  • Login-dependent sites are handled through signed-in browser session reuseAI
  • Outputs connect to Make, n8n, Zapier, Sheets, Airtable, webhooks and MCP without custom glueAI

Cons

  • Credits are the only unit shown on the homepage, so a list price per credit or per seat is not visible to plan a budgetAI
  • Scraping third-party sites remains subject to their terms and anti-bot defenses, and stealth features do not make that risk disappearAI
  • Heavy automation depends on the platform's residential proxy pool and cloud runtime, so outages or pool quality directly affect runsAI
  • No published support tiers, documentation links or SLA details on the homepage to judge response timesAI
  • Sites requiring login tie runs to a stored profile, which adds credential handling and session expiry workAI

How much does BrowserAct cost?

Free trial

The homepage invites users to start free, but the length and credit allowance of the free offer are not specified.

Learn more

Pricing

BrowserAct prices work in credits. Building a tested Bot uses 320 credits and a single run costs 20 credits, described as about 6 percent of the build cost. Credit prices and subscription tiers are not listed on the homepage.

Learn more

Integrations

Results can be delivered through CSV, JSON, API and webhooks, or pushed to Make, n8n, Zapier, Google Sheets, Airtable and MCP. Local agents such as Claude Code, Codex CLI and Cursor can drive a browser session.

Features

AI agent builds tested Bots from a description, with self-healing after layout changes, scheduled runs and change alerts. Cloud Chromium runtime runs concurrently 24/7 with stealth fingerprints, residential proxies and automatic CAPTCHA handling, plus rotating or signed-in session modes. Inputs and outputs span text, images and files to CSV, JSON, images and video.

Frequently asked questions about BrowserAct

  • How much does BrowserAct cost?
    BrowserAct prices work in credits. Building a tested Bot uses 320 credits and a single run costs 20 credits, described as about 6 percent of the build cost. Credit prices and subscription tiers are not listed on the homepage.
  • Does BrowserAct offer a free trial?
    The homepage invites users to start free, but the length and credit allowance of the free offer are not specified.
  • Does BrowserAct have an API?
    Yes, BrowserAct offers an API.
  • How do you use BrowserAct?
    The walkthrough on this page covers 6 steps: 1. Create an account and open the builder 2. Describe the data in plain language 3. Test the generated Bot 4. Run it and check the spreadsheet 5. Add fields by asking 6. Schedule and connect the output.
  • What platforms does BrowserAct support?
    BrowserAct is available on Web App and Browser extension.
  • What does BrowserAct integrate with?
    Results can be delivered through CSV, JSON, API and webhooks, or pushed to Make, n8n, Zapier, Google Sheets, Airtable and MCP. Local agents such as Claude Code, Codex CLI and Cursor can drive a browser session.

Status

StatusActive
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Added10/21/2026

Platforms

Web AppBrowser extension

Pricing

FreePaid