Prompt-based Bot building
Describe the website, fields, and parameters in natural language. BrowserAct explores the site and creates a ready-to-run Bot without requiring scraper code.
BrowserAct is a no-code AI web scraping and browser automation platform that builds reusable Bots from plain-language data requests. It helps teams collect structured, refreshed web data in the cloud or give local AI agents a browser layer for web tasks.
BrowserAct is a no-code AI web scraping and browser automation platform. Users describe the data they need, and its AI agent explores the target website, identifies fields, verifies the extraction on the live page, and builds a reusable Bot. The Bot can then be run again with parameters to collect refreshed structured data.
The service is intended for people who need web data without writing scraper code or managing browser infrastructure. Bots run in BrowserAct Cloud, where cloud browsers, scheduling, and concurrent execution are available. BrowserAct also provides a CLI/browser layer that lets a local AI agent use a browser for web tasks.
Its managed browser stack includes support for dynamic content, common CAPTCHA challenges, residential proxies, isolated browser fingerprints, and self-healing behavior for page-layout changes. Results can be exported as CSV, JSON, images, video, or files, and structured data can be sent through APIs, webhooks, and listed workflow connections.
Describe the website, fields, and parameters in natural language. BrowserAct explores the site and creates a ready-to-run Bot without requiring scraper code.
Build an extraction once, then run it again with parameters to obtain refreshed results. Bot-Agent workflows separate the initial build cost from the lower per-run cost.
Run Bots in BrowserAct Cloud with cloud browsers, scheduling, concurrent tasks, and browser infrastructure managed by the service. A local CLI option is also available for AI-agent workflows.
The managed scraping stack includes dynamic-content handling, support for common CAPTCHA challenges, country-targeted residential proxies, and isolated browser fingerprints.
When a website changes its layout, the Bot can locate the requested data again without requiring a full rebuild, according to the product demonstration.
Export results as CSV or JSON, or send them through APIs, webhooks, Make, n8n, Zapier, Google Sheets, Airtable, and MCP.
Collect product names, prices, ratings, promotions, sellers, supplier details, or minimum-order quantities from public product pages and marketplaces.
Track public reviews, posts, comments, pricing, product updates, and source URLs as a repeatable research workflow.
Create structured lists of businesses with names, categories, locations, ratings, websites, and public contact details where available on the source site.
Gather creator information, product launches, advertisements, or job-market data from public platforms and refresh the dataset as needed.
No. BrowserAct’s cloud-agent workflow is designed around describing the required data in natural language. The service explores the site and builds a tested Bot.
Bots can run in BrowserAct Cloud. BrowserAct also provides a CLI/browser layer that lets a local AI agent use a browser for web tasks.
The site lists CSV, JSON, images, video, and files as output types. Structured results can also be delivered through APIs and webhooks or connected to Make, n8n, Zapier, Google Sheets, Airtable, and MCP.
Yes. The Free plan includes signup credits, two free Agent Builds, two simultaneous tasks, and five free local browsers. Eligible new users can also try a paid plan for seven days.
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