With a simple prompt, you can ask Claude Code or Cursor to build a web scraper for a competitor’s pricing list (a small program that grabs data you want from anywhere you point it to), and it works within minutes… until it doesn’t.
Not being able to trust your data scraper because something changed somewhere along the line is the kind of thing that can have huge ramifications on a business of any size, and that’s where Bright Data comes in with its own range of Scraper APIs.
Why agent-built scrapers break
An AI agent builds a scraper by learning where values sit in a page’s structure. When the site changes its layout or code, the scraper can return wrong details or nothing at all. And if the site detects automated traffic, it can block the scraper outright.
That means your job listings stop updating, or your inventory feed becomes a steady stream of error messages. Sure, you can ask the agent to rebuild the scraper, but that takes time most teams don’t have.
Bright Data’s Scraper APIs give you maintained scrapers that take the upkeep out of the process. Bright Data’s team maintains them, so when a site changes, fixing the scraper is Bright Data’s job, not yours.
For popular sites
Bright Data’s Scraper APIs cover thousands of pre-built scrapers for popular sites, all of which were built and are maintained by the company to save you the headache of constantly retooling your own.
Send a URL and get structured data back as JSON or CSV, ready for your database, spreadsheet or AI tools without clean-up. From there, you can track changes, compare prices or feed the data straight into your workflows.
In fact, thanks to the hosted MCP server (the way AI apps plug into third-party tools) and Bright Data CLI (Command Line Interface), your agent can call the scrapers directly within your AI app of choice, whether that’s Claude Code, Cursor, or Codex. All of this means the data you scraped is ready for just about anything you need it for.
For everything else
There are certainly more than thousands of sites on the internet, though, and this is where Bright Data’s Scraper Studio comes in.
For sites not included in its massive library, you can describe the data that you need, and Bright Data’s Scraper Studio’s AI will build a reliable scraper in minutes. What’s the advantage of this against building one externally? When a site changes, the Self-Healing tool proposes a fix for you to review, so you don't have to rebuild the scraper from scratch.
Rather than waiting until the data tap runs dry, you can set up Auto Self-Healing to start a repair on its own when success rates drop. Healing jobs don't cost credits.
A human touch
The agent does the work, but a person signs off on it. From the Bright Data CLI, fixes wait for your approval by default. In Scraper Studio, switch Auto Save off, and a named person will review each fix by email before it goes live.
That means you always have a safety net if you’re not quite ready to hand over the scraping process just yet.
Before collecting data, there are a few things to keep in mind:
- The data you’re scraping is public
- Bright Data supports scraping or collecting public web data only, so pages behind a login are out of scope
- Is there already a maintained, pre-built scraper for the site?
- If there is, you can use that without building your own
- Choose an output format your tools can read
- JSON is the most universal option, and CSV, NDJSON and XLSX are also available
- Set an approver
- From the Bright Data CLI line, you can ensure someone is approving changes
- Run a test
- Firing off a test is a great way to know if everything is being collected as you expect
Get started for free
Site changes, blocks, and layout updates can break any scraper. Bright Data maintains its Scraper APIs for you, and Scraper Studio repairs itself, so you're not relying on a one-off, agent-built script that fails when you need it most.
You can get started for free with 5,000 credits a month across Scraper APIs and Scraper Studio, with no credit card required. You can find further pricing information here.