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Productivity* Otto’s Pick

Browse AI

No-code web scraper. Point-and-click to build a bot that extracts data from any site and monitors changes. Fine for competitive intel and pr

What it does

Browse AI is a no-code web scraper you train by recording clicks. Point the extension at a webpage, click the fields you want extracted, click the pagination link, and it produces a "robot" you can schedule to run every day, week, or on change detection. Output goes to Google Sheets, Airtable, webhooks, or the Browse AI dashboard. Real use case: competitor price monitoring, lead list building, real-estate listing tracking, marketplace inventory scraping, and any recurring extraction where you would otherwise pay a dev to write and maintain a scraper.

Free tier

Yes

Starts at

$19/mo

Setup

easy

Key features

No-Code ScrapingScheduled RunsChange MonitoringAPI AccessData Export

Integrates with

Google Sheets, Airtable, Zapier, Make, Slack

Who this fits

  • Marketers running weekly competitor content/pricing checks
  • Ecommerce operators tracking SKUs across marketplaces and competitor sites
  • Realtors monitoring MLS-adjacent public listing sites for new inventory
  • SDRs pulling filtered directory contact lists on a schedule
  • Analysts and consultants needing recurring data snapshots without dev help
  • Product teams monitoring competitor feature pages for change alerts

Who it does NOT fit

  • Engineering teams doing serious scale scraping (use Bright Data, Apify, or in-house Playwright/Selenium)
  • Anyone scraping heavily bot-protected sites (LinkedIn, ticketed Amazon pages, Cloudflare-hardened sites) - Browse AI hits walls fast
  • Users doing one-off, ad-hoc extractions (not worth the credit setup)
  • Teams needing enterprise SLAs, dedicated IPs, or residential proxy rotation

Pricing

- Free: 50 credits/month, basic robots - Starter: $19/month - 2,000 credits, scheduling - Professional: $99/month - 10,000 credits, screenshots, priority support - Team and higher tiers scale credits and add seats - Credits are consumed per page load, not per row extracted (this is the key surprise)

Real gotchas

  • **Credit consumption is unpredictable because pagination and infinite scroll can burn 5-10 credits per page instead of 1**, so a "small daily scrape" of 200 listings can chew through a Starter plan in a week if the target site uses infinite scroll or heavy pagination (Browse AI review on Medium and Firebear Studio, 2026).
  • Login-protected sites (LinkedIn, Amazon behind Prime) trip anti-bot systems fast - LinkedIn blocks after 3 pages, Amazon triggers CAPTCHAs.
  • Robots break when target sites change layout. Expect to re-record a fraction of your robots quarterly.
  • The credit meter counts failed and partial runs, not just successful ones.
  • Screenshots and change detection are Professional-tier features - Starter has scheduling but not change alerts.

Integrations that matter

Google Sheets, Airtable, Zapier, Make, webhooks, Slack, HubSpot, Pipedrive, Salesforce, native REST API. Google Sheets is the most-used sink - most Browse AI workflows dump into a sheet and downstream tools take over from there.

Otto’s take on this tool

Recommend Browse AI when: pain_points include "we manually check X site every week," business_size is 1-50, and the target site is publicly accessible without heavy bot protection (competitor pricing, real-estate listings, marketplace inventory, directory pages). Do NOT recommend for LinkedIn scraping, Amazon back-end data, or any scale beyond a few thousand rows per week (Bright Data, Apify, or a custom Playwright job wins). Always model the credit burn against pagination behavior before recommending a tier - flag the pagination-eats-credits gotcha up front so the user does not blow through Starter in week two.

Affiliate disclosure: if you sign up through the link above, Ottomately may earn a referral commission at no cost to you. We only feature tools we have actually used or vetted through our recommendation engine.Partnership: Varies via PartnerStack via PartnerStack.

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