No-code web scraping and automation platform for extracting data from any website
Browse AI is a no-code platform that enables users to extract data from websites and automate web-based tasks.
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AI Editor ApprovedApproved and published by our AI Editor-in-Chief after full panel analysis.Browse AI is a no-code web scraping and automation platform that enables users to extract data from websites and automate repetitive web-based tasks. The platform uses a visual interface where users can train robots to perform actions like clicking, scrolling, and data extraction by demonstrating the desired workflow.
The service targets businesses, researchers, and individuals who need to collect data from websites regularly but lack programming skills. Users can create robots to monitor product prices, track job listings, extract contact information, or gather any publicly available web data. The platform handles dynamic websites, including those that require JavaScript rendering.
Key capabilities include scheduled data extraction, change monitoring with notifications, bulk data processing, and API access for integration with other tools. Browse AI also provides data export options in various formats including CSV, JSON, and Google Sheets. The platform manages proxy rotation and handles anti-bot measures automatically.
Browse AI competes in the web scraping and automation market alongside tools like Octoparse, ParseHub, and Scrapy. The platform differentiates itself through its no-code approach and focus on ease of use, making web scraping accessible to non-technical users while still providing advanced features for complex use cases.
Uses machine learning to automatically adjust extraction patterns when a website changes its layout or structure.
Processes up to 50,000 URLs simultaneously for large-scale data extraction or monitoring tasks.
Tracks webpage content changes and sends email notifications when monitored pages are updated.
Runs scraping robots automatically on hourly, daily, weekly, or custom intervals without manual intervention.
Ready-to-use scraping robots for popular websites including Amazon, LinkedIn, Google Maps, and more.
Uses rotating proxies, CAPTCHA solving, and browser fingerprinting to scrape sites with bot detection measures.
Follows links across multiple page levels to extract data from nested or paginated content.
Exports scraped data as CSV, JSON, Excel, or directly to databases like MySQL, PostgreSQL, and MongoDB.
Point-and-click interface to extract data from websites without writing any code.
Connects extracted data to Google Sheets, Airtable, Zapier, Make.com, webhooks, and other tools via native integrations and REST API.
Certified for SOC 2 Type 2 data security standards with AES-256 encryption for all stored credentials, plus GDPR and CCPA compliance.
Fully managed offering where Browse AI builds, maintains, and updates custom robots and data pipelines on behalf of the customer.
50 credits/month, 2 websites, 3 users. Full platform access with email support.
Individuals starting automation. Billed annually at $228. 2,000 credits/mo, 5 websites.
Teams and growing businesses. Billed annually at $828. Up to 30,000 credits/mo, 10 websites, 10 users.
Enterprise-grade managed solutions with onboarding and dedicated account manager.
Bootstrap-feel scale: 500K users on a single $2.8 million seed, no Series A in sight.
“Browse AI closed one $2.8 million seed in August 2023 and is sitting on 500,000 users without a Series A. AI-Powered Adaptation is the real moat — Octoparse and ParseHub haven't matched the self-healing extraction story.”
Ardy Naghshineh's been running this from Vancouver for five years. The seed closed at $2.8 million in August 2023 — Banana Capital, Goodwater, angels from Dropbox and DoorDash. No Series A on file. 500,000 users on the public count.
AI-Powered Adaptation is the piece that matters. Websites change layouts and most scrapers break — Browse AI re-anchors the extraction pattern instead. Free tier gives 50 credits, Professional is $69 a month with up to 30,000 credits, and 7,000+ integrations cover Google Sheets and Airtable. Octoparse and ParseHub fight the same no-code battle, but neither sells managed pipelines this cleanly.
But the catch is the credit economy. Personal at $19 only buys 2,000 credits and dynamic sites burn through them fast. SOC 2 Type II checks out. Pilot Professional with one ops analyst for 60 days, watch credit burn against real workload, then decide on Premium's managed track.
No-code differentiation is real but Octoparse and ParseHub serve similar ops buyers at similar price points.
SOC 2 Type II, GDPR, and CCPA compliance plus a 500K user base make this defensible to the board.
Point-and-click setup with 200+ prebuilt robots means first extraction lands in minutes, not sprints.
Advances data ops capability beyond cost savings — replaces engineering work that ops teams couldn't do at all.
One $2.8 million seed in 2023 with 500K users is durable for SMB, but no Series A on file caps the 36-month bet.
Ops teams who need scheduled scraping without engineering headcount.
Engineering teams who already run Scrapy or Playwright pipelines in-house.
Self-healing robots plus SOC 2 Type 2 turn web scraping into a managed data feed for non-technical teams.
“Ardy Naghshineh founded Browse AI in 2020 and closed a $2.8M seed round in August 2023, building a no-code platform that handles proxy rotation, layout drift, and 7,000+ destination integrations. For a Head of Data Acquisition picking a substrate through 2029, the question is whether managed simplicity beats Apify's developer flexibility for non-engineering teams.”
Browse AI shipped in 2020 and closed a $2.8M seed in August 2023, scaling to 500,000 users on a self-service motion Apify and Octoparse don't fully match. AI-Powered Adaptation is the wedge — when a target site changes its DOM, the robot retrains instead of breaking.
200+ Prebuilt Robots cover Amazon, LinkedIn, and Google Maps; Bulk Operations runs up to 50,000 URLs per job; SOC 2 Type 2 with AES-256 credential encryption ships standard. Professional at $69/month with 30,000 credits fits a small ops team, not an engineering org rebuilding from Scrapy.
But credit-based pricing has a craft ceiling. For teams running millions of pages monthly, the meter outruns the value and Apify's per-compute model wins. Domain fit is the non-engineering data team that wants reliable feeds without owning a scraper stack — clean substrate for that buyer, not hyperscale extraction.
Sits above Octoparse on self-service polish and below Apify on developer flexibility — clear no-code wedge.
200+ Prebuilt Robots plus 7,000+ integrations match how non-engineering data teams actually source web data.
Google Sheets, Airtable, Zapier, Make.com, and REST API hit the integration touchpoints non-engineering teams need.
Credit metering through 2029 works for steady volumes but constrains growth into multi-million-page workloads.
AI-Powered Adaptation handles layout drift, but the craft ceiling is operational data feeds, not hyperscale extraction.
Non-engineering data teams who need reliable web feeds without owning a scraper stack.
Engineering teams who extract millions of pages monthly and need raw per-compute pricing.
Credit-based pricing means the $228/year Personal sticker hides the real number — per-row burn rate.
“Personal lists $228/year for 2,000 monthly credits, Professional $828 for up to 30,000 — credit-based, not seat-based. The catch is per-task credit draw, which the docs price in ranges, not floors.”
Browse AI bills by credit consumption, which makes the sticker price a starting bid, not a budget. Personal lists $19/month on annual — $228/year — for 2,000 credits and 5 websites. Professional moves to $69/month, $828 annual, with 5,000 to 30,000 credits depending on prepay.
Compare Octoparse at $89/month for cloud extraction. Browse AI undercuts on sticker. The catch is the credit math. Each row extracted, each screenshot, each Premium site burns one to several credits, and the help docs publish ranges, not per-task floors. Bulk Operations claims 50,000 URLs in parallel — useful only if you've modeled the credit draw first.
Premium starts at $500/month and gates the Dedicated Account Manager plus managed pipelines. 500,000+ users since 2020 and SOC 2 Type II clear the procurement bar. But Premium pricing isn't fully public — the $500 floor is sticker, not ceiling. Budget the credit overage before the seat count.
SOC 2 Type II, GDPR, CCPA, and a Trust Center clear most procurement gates without a sales motion.
Monthly billing is available, though Personal monthly runs $48 versus $19 annual — a 2.5x flexibility penalty.
Three tiers public from Free to $500/month, but per-task credit consumption is published as a range, not a unit price.
Output is rows extracted, easy to count, but per-task credit cost varies by site complexity and Premium-site status.
Credit-based billing makes year-3 modeling fuzzy — bulk operations on Premium sites can swing draw 10x.
Operations teams who need scheduled scraping without engineering headcount.
Buyers who need predictable monthly invoices.
Browse AI hides the JavaScript scraping pain behind point-and-click robots, but credits burn unpredictably on dynamic sites.
“Browse AI trains scrapers by demonstration — click the fields you want, the robot learns the pattern, and 200+ Prebuilt Robots cover Amazon, LinkedIn, and Google Maps out of the box. The catch is credit math: a robot run can consume well above the listed minimum on paginated lists, and the Personal plan's 2,000 monthly credits evaporates faster than the pricing page suggests.”
Training a robot in Browse AI feels closer to recording a Selenium script than writing one. Click the product title, it infers the selector. Click the next, it learns the list pattern. For a non-engineer on price monitoring, that is the win Octoparse's drag-and-drop never quite delivers — Octoparse still asks you to think in XPath.
The friction is the credit meter. Personal at $19/month ships 2,000 credits, but Deep Scraping Workflows that follow pagination eat 5-10 credits per run on a 50-row list. However, AI-Powered Adaptation self-heals when target layouts change — more reliable than Beautiful Soup scripts needing manual fixing.
200+ Prebuilt Robots covers Amazon, LinkedIn, Google Maps out of the box. The tradeoff is observability — no dry-run mode shows credit cost before you press execute.
Robot training is genuinely smooth, but credit opacity creates daily friction on paginated runs.
Pricing page is clear; FAQ schema reads marketer-flavored, but the docs site covers API and webhooks honestly.
No dry-run mode and unpredictable credit costs per run add up across a working week.
REST API, bulk processing up to 50,000 URLs, and webhooks; no in-platform scripting for transforms.
7,000+ integrations push extracted data into Google Sheets, Airtable, and Make.com natively.
Data analysts who monitor competitor pricing without writing scrapers.
Engineers who need scripted transforms inside the extraction pipeline.
Two hundred prebuilt robots and self-healing extraction make Browse AI feel like no-code that actually works.
“Two hundred prebuilt robots cover Amazon, LinkedIn, and Google Maps out of the box, and AI-Powered Adaptation keeps them alive when sites change. The $19 Personal tier is honest, but credits run the show and Premium at $500/month is where scale actually lives.”
200+ prebuilt robots is the tell. Most no-code scrapers ship a blank canvas and call it flexibility. Browse AI ships robots for Amazon, LinkedIn, Google Maps, and 200 others — a team that watched people actually try to start. The $19 Personal tier buys 2,000 credits, enough to feel the product.
AI-Powered Adaptation earns the rest. Traditional scrapers like Octoparse break when a site reshuffles a div; Browse AI's robots heal themselves, mostly, which is the difference between a tool you check on Monday and one you forget about until Friday. Bulk Operations runs 50,000 URLs in a single job.
The catch is credits. Every action burns them, and three months in you're watching the meter. Premium at $500/month is the real product if you're scraping at scale. Mobile is a non-question here — nobody scrapes from a phone. SOC 2 Type 2 is the boring stuff finance asks for.
Prebuilt robots, multiple export formats, and clear credit metering show care for daily use.
Point-and-click works on day one, but Deep Scraping and credit math take a few weeks to feel.
Scraping is a backend task; web-only is the right call and not a real gap.
Free tier plus 200+ prebuilt robots mean first value arrives in minutes, not hours.
AI-Powered Adaptation and managed proxy rotation reduce the "broke overnight" failure mode.
Operations folks who need website data on a schedule without writing Python.
Developers who already write their own scrapers in code.
Browse AI is the rare scraper survivor — but the AI-scraper wave will test that moat by 2027.
“Founded 2020, self-funded with a $2.8M seed, SOC 2 Type II, and pricing published from $19 to $500 — the durability signals are real. But Firecrawl and Bright Data are squeezing both ends, and the no-code wedge gets thinner every quarter.”
Honest take — came in expecting the usual scraping-vendor hand-waving. Didn't find it. Founder Ardy Naghshineh has been shipping Browse AI since 2020. $2.8M seed in 2023 from Dropbox and DoorDash co-founders. SOC 2 Type II on the trust page. Pricing published — $19 Personal, $69 Professional, $500 Premium.
The product holds up. 200+ Prebuilt Robots for Amazon and LinkedIn. Deep Scraping Workflows for paginated content. Bulk Operations to 50,000 URLs. AI-Powered Adaptation — robots self-heal when sites change — is the actual wedge vs Octoparse and ParseHub, both of which break on layout drift.
But the catch is the category. Bright Data scrapes deeper at enterprise. Firecrawl and ScrapeGraphAI undercut the AI-scraper wedge with LLM-native pipelines. Exit is clean — CSV, JSON, Google Sheets. Worth it for non-technical teams on scheduled extraction. Watch the squeeze.
AI-Powered Adaptation is a real wedge vs Octoparse and ParseHub, but Firecrawl and ScrapeGraphAI are commoditizing it.
CSV, JSON, Google Sheets, and REST API exports mean your data leaves clean.
500K users and SOC 2 are durable signals, but a single $2.8M seed is a thin cushion against the AI-scraper wave.
Pricing published in plain dollars and SOC 2 Type II verifiable, though landing-page #1 superlative hedges the rest.
Self-funded for three years before a modest $2.8M seed — survivor pattern in a graveyard category.
Non-technical teams who need scheduled web data extraction.
Developers who want LLM-native scraping pipelines.
Common questions answered by our AI research team
The Professional plan costs $69/month billed annually, or $69/month on a monthly basis. Annual plans include 60,000–360,000 credits upfront; monthly plans include 5,000–30,000 credits/month.
Yes, Browse AI integrates with Google Sheets, along with Airtable, Make.com, Pabbly Connect, Rest API, Zapier, Webhooks, and Amazon S3.
Yes, Browse AI is SOC 2 Type II certified, and also complies with GDPR and CCPA. SOC 2 reports are available via their Trust Center.
Yes, Browse AI requires no coding. Users point and click to extract, scrape, and monitor any data on any webpage.
Premium users can get up and running in 10 days, with rapid deployment handled by Browse AI's data extraction experts.
Company
Browse AIFounded
2020Pricing
From $19/moFree Trial
AvailableFree Plan
Available
Browse AI is a Toronto-based no-code web scraping and monitoring platform that extracts structured data from websites.
