Train an AI agent to extract, structure and monitor the data you want from any website. Your agent becomes a REST endpoint you can call, schedule, and pipe into your stack. No proxies, no browser automation, and no code.
TRANSFORM ANY WEB PAGE INTO AN API
If you can see it on a page, an AI agent can capture it and return it as structured data. No selectors to write or parsers to maintain.
Scrape products from a website, or a whole catalog at once, including price, stock, variants, ratings, and images.
Scrape data from listing sites, directories, and search results, with pagination and infinite scroll.
Capture headlines, body text, authors, dates, and metadata from any content site. A website data extractor you point at a template instead of a parser you write.
Scrape data that only appears after a click, a form fill, a dropdown selection, or a login.
You can extract data from a website online in your browser (nothing to install) and once trained, the same data extraction and structure from a website then runs on a schedule through the API. Prefer a spreadsheet instead? Send it straight to Excel, Google Sheets, or Airtable.
HOW OUR AI WEB SCRAPER TURNS ANY WEBSITE INTO AN API
Train an agent once to capture and structure the data you need. Once trained, you can call it as an API forever.
Point the agent to the web page where you want to extract data from and it will learn the layout, site security, and structure. No CSS selectors, no proxies, no browser automation framework, no Python or JavaScript.
Try it free →Your trained agent is a production endpoint where you can pass a URL, a search term, or any parameter you defined during training, and get structured JSON in return.
View the full documentation →Get results pushed to your endpoint the moment a task finishes, or poll for them. Subscribe to the events you care about: task finished, finished successfully, finished with an error, or captured data changed.
TRANSFORMS ANY WEB PAGE INTO A STRUCTURED DATASET
Other scraping APIs return the whole page as markdown or raw HTML and leave it to you to write the extraction logic and clean the output. Browse AI returns only the fields you want, named, typed, and structured exactly as you want it.
A TYPICAL WEB SCRAPING API
Typical output from other web scraping API's give you the full page, converted to markdown or HTML.You still write the parsing, the field mapping, the deduplication, and the error handling.
[Skip to content](/#main) | [Sign in](/login) # Shop all **New in** · Sale · Gift cards <div class="grid_3x1 pdp-card--v2">  **Product A** ~~$39.99~~ $29.99 Save 25% In stock — ships today **4.6** (218) [Add to bag](/cart/add?variant=88213&qty=1) </div> **Product B** $34.50 Out of stock Cookie preferences · © 2026 Example Inc.
BROWSE AI'S API WEB SCRAPER
{"capturedLists": { "Products": [ { "name": "Product A", "price": "29.99", "inStock": true, "url": "https://example.com/a" }, { "name": "Product B", "price": "34.50", "inStock": false, "url": "https://example.com/b" } ] } }
With Browse AI, you name and structure the fields when you train the agent. Add calculated columns to clean, format, and transform the results, with Formula AI writing the formula from a plain-language description, so what reaches your stack is already a clean, structured dataset.
WEBSITE SCRAPING TOOL WITH WEBHOOKS BUILT IN
Keep your data up to date and accurate without the maintenance of scrapers and scripts that break. AI agents are trained to adapt to website changes keeping your data accurate without rewriting scripts. Monitoring is built into the same agent and the same API.
Create, read, update, pause, and delete monitors through the API. One agent can carry many monitors, each with its own input parameters and schedule, so you can fan a single agent across hundreds of pages programmatically.
Schedules are standard RRULE strings, ex:FREQ=HOURLY;INTERVAL=1;BYWEEKDAY=MO,TU,WE,TH,FR.
Enabling you to monitor web data from every few minutes to monthly. See website monitoring
The taskCapturedDataChanged webhook fires on a real website change, so your pipeline only updates when web data changes.
Field-level change detection with old and new values side by side, colour coded, and a full history you can audit.
Screenshots are a first-class capture type alongside text and lists, with a percentage threshold so you only hear about visual changes big enough to matter.
WHY BROWSE AI IS THE BEST WEB SCRAPING API
With tools like ChatGPT and Claude it's 'easy' to generate code to scrape data once, the hard part is turning that into a structured live data pipeline you trust. Browse AI offers a better solution if you're looking for a solution that is reliable, structures the data how you need it, continues to extract on a schedule, at scale.
| What you need | Your own script | Headless browser stack | ChatGPT or an AI browser | Raw scraping API | Browse AI |
|---|---|---|---|---|---|
| Time to a working endpoint | Days to weeks | Days to weeks | n/a | Hours | About 2 minutes |
| Structured named fields | You write the parser | You write the parser | Inconsistent, can hallucinate | You write the parser | Built in |
| Dynamic and behind-login pages | Manual | Yes, you maintain it | Sometimes | Varies | Yes |
| Anti-bot handling and proxies | You manage them | You manage them | n/a | Usually included | Included, no separate proxy service |
| Keeps working when the site changes | Breaks | Breaks | n/a | Breaks your parser | Adapts to most changes, alerts on a major overhaul |
| Knows what changed since last run | Build it | Build it | No | Build it | Built in, with history |
| Runs on a schedule at scale | Build it | Build it | No | Build it | Bulk runs and monitors |
| Someone to run it for you | No | No | No | No | Managed services |
A general AI agent gets you one dataset that might be accurate. Browse AI gets you a production data pipeline you can trust, audit, schedule, and keep.
STRUCTURED WEB DATA FOR AI AND LLM BUILDERS
RAG pipelines, agents, and fine-tunes fail on stale and malformed input. Browse AI gives your model clean structured fields on a schedule, with change history, rather than a page dump you have to normalize first. Treat it as the web data extraction layer underneath your model.
Named, typed fields your model can consume without a cleaning step, and without inventing values that were never on the page.
Schedule a monitor and your knowledge base updates as the source does, with the diff available so you can re-embed only what changed.
Webhook the results straight into your own pipeline. Connect Browse AI to any LLM · Enrich data with Claude · Process with n8n
Snowflake, PostgreSQL, Databricks, S3, or straight into your application through the API.
Works with the models and tools you already use
TURN THOUSANDS OF WEB PAGES INTO AN API
The agent you train on a single page is the agent that runs your bulk automations. Pacing, IP rotation, retries, and error handling are handled for you.
Submit up to 50,000 tasks in a single bulk run, each with its own URL or input parameters. Submit further bulk runs for anything larger. See the bulk operations guide
If a task fails, the agent automatically retries it and the retry is linked to the original in the API response. No need to write retry logic.
Every failed task returns a plain-language error, and when video recording is enabled a link to watch a replay of the session. Debugging is watching what the agent saw instead of reading a stack trace.
For large amounts of web data, use table exports with a tableExportFinishedSuccessfully webhook, delivered as CSV, JSON, or zip, rather than pulling tasks one at a time.
If an agent needs attention our team can put it into maintenance, and the API tells you so explicitly instead of silently failing or returning bad data.
Your data pipeline shouldn't depend on whether someone else maintained their scraper or scripts this quarter.
No-code and developer-grade
The person who knows what data is needed can train the agent. Anyone can train an agent to extract and structure the exact data they need, and whoever owns the pipeline gets a clean REST API.
Six resources cover the whole operation.
taskFinishedtaskFinishedSuccessfullytaskFinishedWithErrortaskCapturedDataChangedtableExportFinishedSuccessfully
Subscribe to what you need, ignore the rest.
Filter by status, bulk run, or date range, sort it, and choose whether to include retried tasks. Every task carries its own timestamps, its origin (API, monitor, dashboard, or bulk run), and its result.
Proxy management, retry logic, anti-bot handling, and change detection are part of the platform, not your codebase.
HOW IS BROWSE AI PRICED?
Credit-based pricing and every feature available on every plan. Start free and scale when the data volume does.
See full pricing →Your price per credit reduces as you upgrade to higher usage tiers with custom volume discounts available for enterprise usage.
Every paid plan has access to every feature - monitoring, bulk runs, the API, and webhooks are not gated behind an upgrade.
The free plan includes 50 credits a month with unlimited robots across two websites, and paid plans start at $48 a month, or $19 a month billed annually.
ENTERPRISE WEB SCRAPING API
Your API keys, data transfers, and extracted content sit on SOC 2 Type II certified infrastructure.
Done for you
For large, complex, or high-volume needs, our team builds and operates the extraction system and delivers the dataset on your schedule, in your systems. You get the data, not the maintenance.
How it works
A 30-minute working session with a solutions specialist, a custom proposal within a few business days, live data in one to two weeks.
Trusted by technical teams
Teams choose Browse AI because the endpoint keeps returning clean data long after a hand-built scraper would have stopped.
"Browse AI is fabulous and has saved us many many days of development time allowing us to focus on the core features of our platform rather than data capture."
"The ability to train a robot on any website without needing an API is what makes Browse AI genuinely useful. I use Browse AI mainly to bridge the gap between tools that have no API and my automation stack. The extracted data comes out clean enough to use directly in downstream workflows."
"I have experience on scraping and I do know how tricky it can be. Finding Browse AI just solved it all from the very first minute. A very intuitive interface with a great technology behind it."
"Seamless integrations with Google Sheets, Zapier, and APIs let me connect Browse AI into my workflows without writing a single line of code."
"It's a very simple and reliable tool to extract data from the web. In just minutes I solved my problems with Browse AI after spending hours with other tools."
A web scraper API lets you extract structured data from websites programmatically, without building or maintaining the scraper yourself. With Browse AI you point a robot at the page, review the data structure AI builds, and that robot becomes a REST endpoint immediately. You call it with a URL or a search term, and it returns named, structured JSON fields rather than a raw page you have to parse. People search for the same thing as an API extractor from website or an API finder from website; the mechanic is identical, and the point is that you never write the scraper.
Three steps, and no code. Point the robot at the page and approve the data structure AI builds. The robot becomes a REST endpoint the moment it is approved. Call that endpoint with your API key, passing a URL or any parameter you defined during training, and receive structured JSON by response or webhook. Most people have a working endpoint in about two minutes. This is usually searched as a website to API converter, or as how to get api of any website that does not offer one, and the answer is the same either way: you turn website into API by training on the page itself.
There is a free tier with 50 credits a month, unlimited robots, and two web domains, which is enough to build and test a real endpoint. Paid plans start at $48 a month, or $19 a month billed annually, and scale with the volume of data and the number of sites. Every feature, including the API, webhooks, monitoring, and bulk runs, is available on every plan. For high-volume or complex needs we also offer setup services from $250 plus platform cost, and fully managed extraction from $500 a month paid annually.
Yes. The robot runs in a real browser and behaves like a human visitor, so JavaScript-rendered content, infinite scroll, lazy loading, dropdowns, tabs, and multi-step forms are all in reach. You train those interactions once and they become parameters on the API call.
You can submit up to 50,000 tasks in a single bulk run, each with its own URL or input parameters. For larger datasets, submit further bulk runs. You can track progress on a bulk run through the API, including how many tasks succeeded and how many failed.
Structured JSON by default, with CSV export available. Results include the captured fields you named, plus metadata, timestamps, and task status. For large result sets, use table exports with a webhook rather than retrieving tasks one at a time. Warehouse delivery to Snowflake, PostgreSQL, and Databricks is supported.
The robot behaves like a real visitor rather than a script, which is what gets it past detection that flags script-like traffic. It rotates residential proxies and browser fingerprints automatically, with no separate proxy service to buy, and solves supported CAPTCHAs including reCAPTCHA and hCaptcha, plus Cloudflare. Some high-security sites cannot be bypassed; for those, our managed team can advise or take it on.
Yes. Set up monitors through the API or the dashboard on any schedule from every few minutes to monthly. Subscribe to the taskCapturedDataChanged webhook and your pipeline is only invoked when the data actually changed, with the previous and new values available.
The REST API works with any language. Official SDKs are available for Python, JavaScript and Node.js, PHP, Ruby, Go, C#, Java, and Swift.
The v2 REST API covers six resources. Robots: list them, retrieve one, and update cookies for authenticated sessions. Tasks: run a robot, retrieve a task, and query task history filtered by status, bulk run, or date range. Monitors: create, retrieve, update, pause, and delete monitors, with several monitors per robot on independent schedules. Webhooks: create, list, and delete subscriptions across five event types. Bulk runs: submit up to 50,000 tasks and track their progress. System: check platform health. Full reference in the API documentation.
It retries itself, and you can watch what went wrong. "Double Check" is enabled by default, so a failed task is automatically retried and the API links the retry to the original task. If it still fails, the response includes a plain-language error message and, where video recording is enabled, a link to a recording of the session so you can see exactly what the robot saw. Video recordings are removed after your account's data retention period.
Yes. A task times out with an error if it does not finish within 15 minutes, or the maximum duration allowed on your plan. For work that would exceed that, split it across a bulk run or chain robots in a workflow rather than trying to do everything in one task.
Captured data above 100KB is not returned inline. The task response instead includes a temporary download link that is valid for seven days, and you can request a fresh link at any time by calling the API again. For large result sets across many tasks, table exports with a webhook are more efficient than retrieving tasks one at a time.
Yes, and the API tells you why. A monitor reports its status as active or paused, and a paused monitor carries the reason: low credits, too many consecutive failures, a user pausing it, or prolonged account inactivity. That means a silently broken monitor surfaces as a state you can check and alert on, rather than as missing data you notice weeks later.
Yes, and that is the normal path. You do not need Python, JavaScript, CSS selectors, proxies, or a browser automation framework. You point it at the page, approve the data structure AI suggests, and Browse AI handles the extraction, the infrastructure, and the API layer.
For a one-off grab, you can. For data you need on a schedule, structured consistently, at scale, a general AI tool falls short: no scheduled runs, no change history, inconsistent field structure, a tendency to invent values, and nothing to call from your own code. Browse AI is the reliable web-data layer built for production pipelines, and it can feed your own models and agents rather than compete with them.
Yes. Robots return clean named fields rather than raw page content, which is what makes them safe to feed into a model without a normalisation step. Webhook the results into your own pipeline, or use our guides for connecting to any LLM, enriching with Claude, and processing with n8n. Pair it with a monitor and your context stays current as the source changes.
The robot adapts to most layout changes automatically and keeps returning data. When a site is overhauled significantly enough that it needs attention, you are alerted, and on managed plans our team steps in. This is the main practical difference from a hand-written scraper, which breaks silently and waits for a developer.
Yes. You can train a robot on authenticated pages and keep the session current by updating cookies through the API. Check the site's terms of use before extracting data from an account-gated area.
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