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Planned, not doneThe source describes an intention, not a finished result.

Pull structured data from a site you sign in to, with Stagehand’s act and extract

Stagehand mixes ordinary browser code with plain-language steps: observe finds a field, act clicks through a page that may change, and extract returns data checked against a schema, while your code fills in the password.

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The problem

How it works

Stagehand’s README walks through a script that signs in to a web app and reads a table of invoices. It launches a local browser with a profile folder so cookies persist between runs, uses observe to find the email and password fields and fills them from environment variables in code, so the credentials never reach the model, then uses act to click sign in and open the billing page. extract takes an instruction and a Zod or Pydantic schema and returns typed data. The same SDK exists for TypeScript, Python and Go, works with a model key of your choice, and can run on Browserbase’s hosted browsers with caching of repeated actions.

Results and limitations

This is the project README with example code and no reported results, so it is marked planned.

Before you try it

The persistent profile folder holds a signed-in session, so protect it like a password. Only automate sites whose terms allow it, and use an account you own. The README says act and extract adapt when a page changes, but check extracted rows against the page, and add your own checks before using numbers such as amounts. Each natural-language step calls a model, so costs grow with every run unless you cache. Results depend on your setup and were not independently reproduced by Top 200 Repos.

Tools and repositories

No ranked repository is involved. This use case still stands on its own source.

Tools
Stagehand · Node.js, Python or Go · A model API key
Prerequisites
A model API key, and optionally a Browserbase account for hosted browsers.

Try it yourself: Plan a sign-in-and-extract script

Fill the fields to adapt the prompt. Empty fields stay as visible [placeholders].

Preview
Write a Stagehand script in [Language] that opens [Site] with a persistent profile folder, signs in only if needed (fill the fields from the environment variables [Credential variables] in code, never in a prompt), goes to [Page to open], and extracts [Fields per row] for every row into a schema. Save the rows to [Output file] and stop with a clear error if the page layout does not match.

Run it on your own account and compare the first export with the website by hand.

Sources

  1. browserbase/stagehand (opens in a new tab)

    Project documentation · github.com · Undated · Source checked 12 Nov 2026, 18:03 UTC

    What this source supports
    • Stagehand is an SDK for browser agents in TypeScript, Python and Go with Playwright-style methods
    • Example signs in with a persistent browser profile, fills credentials found by observe() from code so they never reach the model, then act() and extract()
    • extract() returns schema-validated data from a Zod or Pydantic schema
    • act, observe and extract refresh how an action happens when the site changes
    • Can run on Browserbase with server-side caching of repeated actions; a hosted MCP server is also offered
Report a problem

Planned, not done

Collect a structured web dataset without knowing the URLs, using Firecrawl’s agent

Firecrawl’s /agent endpoint takes a plain-language request and an optional JSON schema, searches and browses on its own, and returns structured data, with a credit cap on each run.

docs.firecrawl.devfirecrawl/firecrawl
Reported by source

Crawl a docs site into clean Markdown for a RAG index

Use Firecrawl to map and crawl a website, returning each page as Markdown or structured JSON ready to chunk and embed.

github.comfirecrawl/firecrawl
Planned, not done

Turn public competitor pages into a structured market scan with Crawl4AI

Crawl4AI crawls pages into clean Markdown and extracts fields such as product names and prices with CSS or XPath schemas or an LLM, giving an agent tidy input for a market or competitor comparison.

github.comunclecode/crawl4ai, ollama/ollama
Planned, not done

Watch competitor pricing and product pages with changedetection.io

changedetection.io checks chosen parts of web pages on a schedule, tracks prices and restocks, and can use an LLM to summarise changes or ignore ones that do not matter.

github.commicrosoft/playwright
Reported by source

Compare products across open tabs with Claude in Chrome, then buy yourself

Claude in Chrome can read and compare what is open in your tabs and pull details into a table; Anthropic’s own red-team numbers explain why it asks before purchases and why you should finish checkout.

claude.com · 25 Aug 2025
Reported by source

Fill out repetitive web forms with Skyvern's vision-based browser agent

Skyvern drives a browser with an LLM and computer vision to complete forms, such as quote requests or contact forms, on sites it has not seen before.

github.commicrosoft/playwright