How to Use Browse AI for Web Scraping: Step-by-Step Guide
Web scraping can be useful for collecting product information, monitoring competitors, tracking prices, researching markets, analyzing listings, and turning information from websites into structured data.
Traditionally, web scraping required programming knowledge and custom scripts. Browse AI makes the process much easier by allowing you to train automated robots to extract data from websites without writing code.
In this guide, we’ll show you how to use Browse AI for web scraping, create your first robot, extract structured data, and automate your data collection.
What Is Browse AI?
Browse AI is a no-code web scraping and website monitoring platform that allows you to extract structured information from websites using automated robots.
Instead of manually writing scraping scripts, you can train a robot by interacting with a website and selecting the information you want to collect.
Browse AI can extract lists and individual data points, handle pagination and dynamic content, monitor websites for changes, and export collected information into structured formats.
This makes it useful for both beginners and professionals who need website data without building their own scraping infrastructure.
How to Use Browse AI for Web Scraping Step 1: Create Your Browse AI Account Start by creating a Browse AI account.
After signing in, you’ll have access to the dashboard where you can create and manage your scraping robots.
Browse AI offers a Free plan, so you can start experimenting with the platform before deciding whether you need a paid plan.
Step 2: Create a New Robot
From your Browse AI dashboard, select:
Build New Robot
For a web scraping project, choose:
Extract structured data
Browse AI will then ask for the website you want to scrape.
This robot will learn which information you want to collect and how that information should be structured.
Step 3: Enter the Website URL
Enter the Origin URL of the webpage containing the information you want to extract.
Whenever possible, start with a page that is already close to the data you need.
For example, if you want to collect products from an online store, starting directly from the relevant product category or search results page can be more efficient than starting from the homepage.
After entering the URL, select:
Start Training Robot
Then open the website using Robot Studio.
Step 4: Select the Data You Want to Extract
Once the webpage loads inside Robot Studio, you can begin teaching Browse AI what information you want to collect.
For repeating information such as:
* Product listings
* Search results
* Prices
* Job listings
* Directory entries
* Real estate listings
you can use:
Capture Text → From a list
Browse AI will identify repeating elements and organize the captured information into a structured dataset.
For individual pieces of information, use:
Capture Text → Just text
You can select specific elements on the page and assign labels to them.
For example:
Product Name → Price → Rating → Product URL
These labels become structured fields in your extracted dataset.
Step 5: Handle Pagination or Scrolling
Many websites display information across multiple pages or use infinite scrolling.
Browse AI can be trained to handle these interactions.
Depending on the website, your robot can interact with:
* Next-page buttons
* Pagination
* Infinite scrolling
* Drop-down menus
* Search boxes
* Forms
* Buttons
* Dynamically loaded content
This allows the robot to continue collecting information beyond what initially appears on the screen.
Step 6: Finish Training Your Robot
Once you have selected all the information you want Browse AI to extract, finish the recording.
Browse AI will run the robot and generate a sample of the extracted data.
Review the results carefully.
Check whether:
* The correct information was captured
* The columns are properly labeled
* The data is structured correctly
* Important information is missing
If everything looks correct, approve the robot.
If something is wrong, you can retrain it and adjust the extraction process.
Step 7: Run Your Web Scraping Robot
Once approved, your robot is ready to use.
Each time you run it, Browse AI visits the target page, performs the interactions you trained, and extracts the selected information.
This means you do not have to manually repeat the scraping process every time you need updated data.
You can also reuse robots with different URLs or inputs when working with pages that follow a similar structure.
Step 8: Export Your Data
After Browse AI extracts the information, you can use the collected data in other applications and workflows.
Depending on your setup, Browse AI supports options such as:
* CSV
* JSON
* Google Sheets
* Airtable
* Webhooks
* API integrations
* Automation platforms
This makes it possible to move scraped information into spreadsheets, databases, dashboards, applications, or automated workflows.
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How to Monitor Websites With Browse AI
Browse AI is not limited to one-time web scraping.
You can also add a Monitor to a robot and have Browse AI automatically check a website for changes.
For example, you could monitor:
* Product prices
* Product availability
* New listings
* Competitor pages
* Search results
* Directory entries
* Website content changes
The robot can run according to a schedule and help you track changes over time.
This can be particularly useful when you need continuously updated information instead of a single dataset.
What Can You Use Browse AI For?
Browse AI can be useful for many different data collection tasks, including:
* Competitor research
* Price monitoring
* Product research
* Market research
* Lead generation workflows
* Job listing collection
* Real estate research
* Directory extraction
* E-commerce monitoring
* Content monitoring
* Search result extraction
* Building structured datasets
* AI and automation workflows
Because the platform is no-code, many of these tasks can be created without developing and maintaining traditional scraping scripts.
Can Browse AI Scrape Multiple Pages?
Yes.
For lists spread across multiple pages, Browse AI can work with pagination and infinite scrolling.
For more complex projects where information is distributed across different types of pages, Browse AI also supports Workflows.
Workflows allow multiple robots to work together.
For example:
Robot A → Collect product URLs
Robot B → Visit each product page and extract detailed information
This makes it possible to create more advanced scraping processes involving pages and subpages.
Does Browse AI Require Coding?
No.
One of Browse AI’s main advantages is that you can create web scraping robots without writing traditional scraping code.
You train the robot visually by interacting with the webpage and selecting the information you want.
This makes Browse AI accessible to users who do not know Python, JavaScript, CSS selectors, or traditional web scraping frameworks.
Developers can still use Browse AI’s API and integrations when building more advanced workflows.
Is Browse AI Free?
Yes. Browse AI currently offers a Free plan that allows new users to start using the platform without purchasing a subscription.
The Free plan includes access to the platform and can be useful for learning how robots, scraping, and monitoring work.
Paid plans provide additional capacity and are designed for users who need to scrape more websites or larger amounts of data.
Because pricing and plan limits can change, check Browse AI directly for the latest pricing information.
Tips for Better Web Scraping With Browse AI
Start Close to the Data
Whenever possible, use a URL that takes the robot directly to the page containing the information you want.
This can make the robot simpler and more reliable.
Decide What You Need Before Training
Before creating the robot, determine which fields you actually need.
For example:
Product → Price → Rating → URL
A clear structure makes your resulting dataset easier to use.
Test Your Robot
Always review the extracted sample before relying on the robot for larger scraping projects.
Make sure every field is being captured correctly.
Use Lists for Repeating Information
If the webpage contains repeating cards, products, listings, or search results, use the list extraction option instead of capturing every item individually.
Use Workflows for Multi-Page Projects
If you need information from both listing pages and individual detail pages, separate the tasks into robots and connect them using a workflow.
Use Monitoring When Data Changes Frequently
If you are tracking prices, inventory, listings, or competitors, monitoring can save you from repeatedly running the same process manually.
Respect Website Rules and Data Regulations
Web scraping should be used responsibly.
Before collecting data, consider the website’s terms, applicable privacy rules, copyright, and any restrictions associated with the information you plan to collect or use.
Is Browse AI Worth Trying?
Browse AI is a strong option for users who want to collect structured information from websites without building and maintaining traditional web scraping scripts.
Its visual robot training system makes web scraping accessible to beginners, while features such as pagination, monitoring, workflows, integrations, bulk extraction, and API access provide room for more advanced projects.
It can be particularly useful for marketers, researchers, e-commerce professionals, businesses, data teams, and users building AI or automation workflows.
If you regularly collect or monitor information from websites and want a no-code approach, Browse AI is worth considering.
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