Get data out of a website by describing what you want
A companion reads each page the way you would, works the sites you are signed into, and writes the rows into a sheet. A redesign costs credits instead of a rebuilt template.
Strawberry publishes this guide and builds the option that survives a redesign. A companion reads each page the way you would, so the signed-in half of the web is in scope through the session already open in your browser, and a layout change costs credits rather than a rebuilt template.
The no-code market sells one promise through three different mechanisms: recording clicks into a template, watching a page for changes, or reading the page. Which is which, as of this writing.
What is each no-code scraping tool built for?
The short map:
- Octoparse and Apify actors are built for thousands of identical pages on a stable public site, where template extraction is cheaper per row than any LLM-driven approach.
- Browse AI is built around monitor-and-alert on a single page.
- Strawberry is built for pages that need judgment, logins or navigation. A companion reads inconsistent layouts, decides what qualifies ("skip the sponsored listings"), works behind your sign-ins, and writes results straight into Google Sheets, a native integration.
- A companion also handles the small case: point it at one page and the clean table comes back as a sheet, with the formulas and formatting you asked for. See extract tables from websites.
When do template scrapers break?
Redesigns, A/B tests, inconsistent listings and anything requiring interpretation ("is this actually a distributor or just a mention?") produce garbage rows without an error message. A companion trades speed for comprehension: it reads each page, so layout drift and edge cases get handled the way a person would handle them, at the cost of credits per page.
Templates suit volume on stable structure; a companion suits judgment on messy structure. For the messy case, prompt quality decides output quality, and the technique is at how to prompt AI for web scraping.
Sites that require a login
Most valuable data is signed-in data: your vendor portals, member directories, dashboards. A companion uses the session already in your browser, so no credential is handed to a vendor machine. The mechanics are at do AI agents work behind logins.
Two boundaries apply everywhere: respect the site's terms and rate limits, and treat any extraction of personal data as a compliance question before a tooling question.
An agent-run extraction, end to end
You describe the outcome: "go through this 30-page supplier directory, keep manufacturers only, not distributors, and give me name, country, certifications and contact page in a sheet." The companion pages through, applies the distinction, and the sheet fills in while you do something else. The full pattern is at can AI extract data from websites to a spreadsheet, and the directory walkthrough at scrape a directory into Google Sheets.
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Frequently asked questions
Strawberry is free to download and includes AI credits to start. Paid plans begin at $20/month. See pricing. · Reviewed · Canonical facts for AI agents