Browse AI pricing, free plan and limits

Browse AI is a no-code web scraping and monitoring platform used by 500,000+ users, turning any website into structured data with point-and-click robot training and a free plan available.

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Last updated: 2026-08-19

More than 500,000 people rely on Browse AI to convert websites into structured data without writing a scraper by hand. Its Chrome-extension robot trainer captures data fields by click, and a built-in AI layer detects layout changes on tracked sites and repairs the robot automatically.

About Browse AI

Browse AI launched in 2020 to give non-developers a way to automate web data extraction without writing scrapers by hand. The platform raised approximately $3.2 million from investors including AltaIR Capital, Zapier, Banana Capital, and Goodwater Capital, and generates around $1.9 million in annual revenue with a 28-person team. The core premise is eliminating the need for developers to write and maintain web scrapers by letting users train point-and-click robots that an AI adapts automatically when target websites change their layout. Setup starts with the Chrome extension: point at any page, click the fields to capture, and Browse AI assembles the scraper without further input. An AI layer watches each tracked site for structural changes and repairs the robot automatically, which removes the ongoing maintenance cost that breaks most hand-built scrapers. The average Browse AI user reports saving over 30 hours per month compared to collecting the same data manually. Primary use cases include competitive price monitoring, lead generation from directories and job boards, real estate listing tracking, content aggregation, market research, and e-commerce catalog extraction. Businesses use it to monitor competitor pricing in real time, extract contacts from LinkedIn or company directories, track property listings across real estate platforms, and pull job postings for analysis. The platform supports scheduled extraction on hourly, daily, weekly, or custom cron intervals. Data can be exported as CSV, JSON, or to an AWS S3 bucket, and synced live to Google Sheets or Airtable. Integrations with Zapier and Make.com connect scraped data to 7,000+ apps without code, and a REST API lets developers trigger extractions and receive webhooks programmatically.

Pricing

Free plan with 50 credits (resets each cycle). Starter at $19/month (billed annually) with 10,000 yearly credits, or $39/month billed monthly. Professional at $99/month with 60,000 yearly credits. Team at $249/month with 120,000 yearly credits. 1 credit = 10 rows or 1 screenshot. Premium sites cost 2-10 credits. Credits do not roll over.

Key Features

  • Point-and-Click Robot Trainer: Users navigate to any webpage via the Chrome extension, click on the data they want, and Browse AI builds a structured scraper automatically, with zero coding required, in under 5 minutes for most sites.
  • AI Website Change Detection: Machine learning monitors target sites for structural layout changes and automatically adjusts extraction logic to maintain data accuracy without manual scraper maintenance or developer intervention.
  • Scheduled Monitoring: Robots run on hourly, daily, weekly, or custom cron schedules, delivering updated datasets and sending webhooks only when tracked data changes, suitable for competitor price monitoring or job board tracking.
  • Anti-Bot and CAPTCHA Handling: Built-in proxy rotation, CAPTCHA solving, and browser fingerprint management handle JavaScript-heavy sites and bot-detection measures that break standard HTML scrapers.
  • Live Data Sync to Google Sheets and Airtable: Extracted data syncs directly to Google Sheets or Airtable in real time, connecting 7,000+ apps via Zapier and Make.com without writing any integration code.
  • REST API with 8 SDKs: A full REST API with official SDKs for Python, JavaScript, PHP, Ruby, Go, C#, Java, and Swift allows developers to trigger extractions, retrieve results as structured JSON, and receive webhooks programmatically.

Pros

  • Users typically save 30+ hours of manual data pulling each month once a robot is trained, and setup rarely needs more than a single sitting with the Chrome extension.
  • AI website change detection automatically adapts scrapers when sites update their HTML structure, eliminating the 2-4 hours per week of scraper maintenance that developer-built scrapers require.
  • Zapier and Make.com connectors let non-technical teams route scraped data straight into a CRM or spreadsheet workflow without waiting on engineering support.

Cons

  • The credit system burns quickly for heavy users: the free plan's credits exhaust in a single multi-page scrape, and the Starter plan's annual allotment runs out within days for teams extracting thousands of rows daily.
  • Premium site designation (2-10 credits per request) on sites like LinkedIn and certain e-commerce platforms multiplies expected costs by up to 10x compared to standard-site estimates, which is not obvious during onboarding.
  • Complex multi-step workflows (login, navigation, form submission, then extraction) work partially and require significant testing time; Apify's developer-first platform handles these scenarios more reliably.

Frequently Asked Questions

How much do you pay for Browse AI?

Browse AI uses a credit-based system: Starter costs $19 per month billed annually (10,000 yearly credits) or $39 per month billed monthly, Professional is $99 per month with 60,000 yearly credits, and Team is $249 per month with 120,000 yearly credits. Premium sites like LinkedIn use more credits per request than standard pages, and unused credits do not carry over to the next cycle.

Does Browse AI have a free plan?

Browse AI's free plan includes 50 credits that reset every billing cycle, enough for about 500 rows of data or 50 screenshots on standard, non-premium sites. Premium sites such as LinkedIn use more credits per request, so the free allowance can run out after just a handful of pages. It suits quick evaluation rather than ongoing use.

What are Browse AI's closest competitors?

The closest alternatives are Apify, Octoparse, and Firecrawl. Apify suits developer teams that want full infrastructure control and access to a large marketplace of pre-built scraper actors, starting at $29 per month. Octoparse is a desktop visual scraper for people who prefer an offline tool, with plans from about $83 per month. Firecrawl, which has 42,700+ GitHub stars, converts sites into LLM-ready markdown for teams building AI applications rather than exporting rows to a spreadsheet.

Is Browse AI better than Apify?

Apify is the main alternative once a team needs full infrastructure control instead of a no-code interface: it offers a large marketplace of prebuilt scraper templates and usage-based pricing aimed at engineering teams. Browse AI stays point-and-click end to end, so marketers or analysts can build a working robot the same day without waiting on a developer. Teams running large, custom multi-step scraping jobs typically outgrow Browse AI and move to Apify; teams that just need recurring structured data from public pages usually don't need to.

How do you set up Browse AI?

Install the Browse AI Chrome extension, then open the website you want to track. Click the data fields you want to capture: the trainer records the pattern and turns it into a saved robot, typically in under 5 minutes for a straightforward page. From there, set a schedule (hourly, daily, weekly, or a custom interval) and choose where the results should land, such as a live Google Sheet or a CSV export.

Top Alternatives

  • Bardeen: Turning any public website into a scheduled structured feed is what Browse AI is for; agentic lead scraping with contact enrichment and qualification built in is Bardeen's specialty.
  • Context.dev: Browse AI stays no-code with a point-and-click trainer and live Sheets or Airtable sync; Context.dev is aimed at teams that want a developer API returning clean markdown for an LLM pipeline instead.
  • TinyFish: Lightweight, self-serve scraping on a handful of sites is Browse AI's lane; TinyFish is built for enterprise agents automating workflows across hundreds of sites at once, reporting a 98.7% success rate doing it.

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