Browse AI
Train a robot by recording clicks on a page, then run it on a schedule to extract lists or watch the page for changes.
- Developer API
- Works without code
- Free plan or free tier
A no-code scraper lets you build a dataset by clicking on a web page. You open the page inside the tool or with a browser extension, click a product name, a price or a job title, and the tool finds every similar element on the page. Most can follow a next-page link, open each item's detail page and repeat the pattern, then hand you a spreadsheet.
These tools suit analysts, marketers, recruiters and researchers who need a table from a site now and again and have no engineer to ask. They come in two shapes. Browser extensions run inside your own browser, using your normal session, which makes them quick for small jobs and pages you are already logged in to. Desktop and cloud apps run workflows on their own browser, can be scheduled, and keep running after you close your laptop.
AI has changed the setup step. Several tools now look at a page and suggest the columns for you, or let you describe the fields in plain words instead of clicking each one. That saves time on a new site. It does not remove the need to look at the output, because a suggested column can mix two kinds of value or miss rows that are laid out differently.
What a featured listing costs ยท from $99 a month
Train a robot by recording clicks on a page, then run it on a schedule to extract lists or watch the page for changes.
Desktop and cloud scraper with a point-and-click workflow builder, ready-made templates for common sites and scheduled cloud runs.
Desktop app where you click the elements you want, and it follows pagination, dropdowns and logins to build the dataset.
Browser extension for building sitemaps of selectors and scraping multi-page sites, with an optional cloud service for larger runs.
Browser extension that scrapes the page you are on and sends the rows to sheets, CRMs and other apps as part of an automation.
Chrome and Edge extension that pulls tables and lists from pages into CSV or Excel using shared or custom extraction recipes.
Chrome extension that suggests columns for the current page with AI, then scrapes it and any subpages into a table.
Extension and cloud service for selecting page data by clicking, then running the recipe on a schedule or calling it as an API.
No-code browser bots built in a Chrome extension that click, type, scrape and pass data to Google Sheets or other tools.
When you compare tools, test them on your actual target pages. Check how each handles pagination, infinite scroll, pop-ups and pages that load content after a delay. See where results go: a download, Google Sheets, a webhook or an API. If the job will repeat, find out how the tool tells you when a run returns nothing, since a layout change on the site will quietly break a recipe.
Be aware of what runs where. An extension that scrapes while you are logged in sends requests as you, under your account, and the site's terms for logged-in users apply. A cloud run uses the vendor's servers and addresses. In both cases keep the pace slow, collect only the fields you need, and leave out personal data unless you have a lawful reason to hold it.
No-code tools are a good start. When the job grows to many sites, millions of pages or strict freshness needs, teams usually move to a scraping API or a framework, so it helps if the tool can export its data in a plain format from day one.
An extension is quickest for small, occasional jobs on the page in front of you, including pages you are logged in to. A desktop or cloud scraper is better when the job must run on a schedule, cover many pages or keep running without your browser open.
Usually the site changed its layout, so the elements your recipe points at moved or were renamed. Open the page, rebuild the selection and rerun. Tools that alert you when a run returns fewer rows than usual help you catch this early.
Many can, either by using your browser session or by recording a login step. Check the site's terms for logged-in users first, since many forbid automated collection, and remember that requests run under your own account.
It is a helpful first draft. It often gets clean product or listing pages right, and it can merge or miss fields on uneven layouts. Compare a sample of rows with the page before you rely on the data.