What is Browse AI?

Browse AI lets users build web scraping, monitoring, and automation workflows without writing code, using a point‑and‑click interface to select data fields. The platform captures dynamic content, handles pagination and login‑protected pages, and adapts automatically to site changes through AI‑driven change detection.

Extracted data can be exported to CSV, JSON, or AWS S3, or streamed live into Google Sheets, Airtable, Zapier, Make, Pabbly, and over 7,000 other apps via API or webhooks. Prebuilt robots cover common sites such as Amazon, Airbnb, Redfin, and job boards, while custom robots can chain multiple steps for full‑site extraction.

Enterprise customers gain managed scraping services, geo‑specific crawling, proxy rotation, and compliance‑ready data handling under SOC 2 and GDPR. Use cases span price and product monitoring for e‑commerce, real‑estate listings, legal case data, job postings, lead generation, and feeding structured data into LLMs or internal dashboards.

Browse AI on the web:

Browse AI details

Company: Browse AI Inc.
Jurisdiction: Province of British Columbia, Canada
Stated compliance: SOC 2, GDPR

Compliance as stated in Browse AI's own published documentation.

Browse AI tech specs

Cloud: AWS Cloudflare
Integrations: Zapier Make (Integromat) Airtable

Browse AI pricing

Freemium

Starter $48.75/mo

Professional $123.75/mo

Team $311.25/mo

Company custom /mo/billed annually

$48.75/mo is pricier than most for Data extraction median $19/mo

Most Data extraction tools start between $9 and $44.38 a month.

Verify on the official pricing page.

View plans

Browse AI's key features

Point-and-click AI scraper
No-code dynamic content extraction
Auto change detection adaptation
7,000+ app integrations
API and webhook export
Bot evasion proxy rotation
Scheduled real-time monitoring

Browse AI use cases

Automate real‑time monitoring of competitor product prices across multiple e‑commerce sites, exporting alerts directly to Google Sheets and Zapier for instant notifications
Gather and update large‑scale marketing lead data from login‑protected CRM portals, exporting cleaned CSVs to AWS S3 and syncing with Airtable without any scripting
Build a dynamic dashboard for real‑time stock market feeds by scraping financial sites with paginated data, auto‑detecting site layout changes, and streaming JSON updates to APIs and BI tools