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How to have an agent pull data from a logged-in website with Adelie

Let an agent read pages, click and type, and extract data such as order history.

Short answer: Install Adelie with npm install -g @adelie/cli or use the desktop installer for your platform; then start the interface with penguin web and open the plugin market to confirm the browser-automation plugin is installed; import the signed-in credentials from your own browser for the target site. All steps.

Credentials. The agent uses sign-in credentials imported from your browser, so limit the scope to accounts you own and review what is stored in the data root at ~/.adelie/data.

Who it is forAn operations or finance user who needs data from a website they already sign in to, such as order records, and wants an agent to collect it.

The problemCopying records from a web account by hand is slow, and the site has no export the user can use.

The outcomeThe agent uses the built-in browser to read pages, click and type, and return extracted data, signed in with credentials imported from the user's own browser.

What you need first

  • A computer running Windows 10+ (x64), Linux (x64), or macOS (arm64 or x64)
  • Node 24 or newer if you use the npm or from-source install
  • An API key from at least one supported model provider, entered on the Models page
  • For browser tasks: credentials for the sites you want the agent to use, imported from your own browser

Steps

  1. Install Adelie with npm install -g @adelie/cli or use the desktop installer for your platform.
  2. Start the interface with penguin web and open the plugin market to confirm the browser-automation plugin is installed.
  3. Import the signed-in credentials from your own browser for the target site.
  4. Ask the agent to open the site through penguin browser and extract the records you need into a file.
  5. Check a sample of the extracted rows against the site before using the full export.

Prompt for your agent

Using the Adelie repo (lmliheng/Adelie), use the browser-automation plugin and `penguin browser` to open <site URL>, extract <record type> into a CSV file, and report the row count. Expected output: a CSV of extracted records. Verify three rows against the live site before accepting the export.

Caveat. The README only names Amazon orders as an example of extraction, so confirm that other sites work before relying on them.

Use this in your AI agent

Ask your agent

Using the Deduped MCP, get the setup steps for lmliheng/Adelie and "Have an agent pull data from a logged-in website"

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