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Scrape e-commerce products

Search multiple e-commerce sites in parallel and extract product details with AI scoring

Scrape e-commerce products demo

Works with

TypeScriptTypeScriptPythonPythonStagehandStagehand

Built by

Browserbase

Support

support@browserbase.com

Resources

Browserbase docsStagehand websiteStagehand docs
Try in Agents
Copy prompt to run with your AI agent
npx create-browser-app --template gift-finder
uvx create-browser-app --template gift-finder
Try in Agents

Send this template to your email, or view it on your desktop for the source code.

Scrape e-commerce sites for product data and recommendations

Search multiple e-commerce retailers simultaneously and extract structured product data including prices, descriptions, and availability. This template runs concurrent browser sessions, applies AI scoring to rank results, and returns curated recommendations. Extensible with proxies for regional pricing, additional retailers, and custom ranking criteria.

Steps

  1. Collect insights about the recipient (interests, budget, preferences).
  2. Send the profile to AI to generate tailored search queries.
  3. Launch three concurrent Browserbase sessions to run those searches across retailers.
  4. Stagehand extracts structured product details (name, price, description, etc.).
  5. Return a ranked list of gift recommendations with clear reasoning.

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