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Build intelligent web scrapers with automatic strategy selection and TypeScript-first code.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "web-scraper" yet — see the docs or source repo.
Design a web scraping workflow to collect product names, prices, ratings, and detail page links from an e-commerce category page. Automatically decide whether static scraping or browser rendering is better, and provide a TypeScript-first Apify Actor approach with code skeleton.
A strategy recommendation, data schema, and a ready-to-develop TypeScript Apify Actor code skeleton.
I need to scrape article titles, publish dates, authors, body text, and tags from a news website. Analyze the site structure, choose the most reliable scraping method, and provide TypeScript implementation guidance covering pagination, deduplication, and error handling.
A scraping plan for the news site, selector strategy, and implementation guidance with pagination and fault tolerance.
Help me turn a web scraping requirement into a maintainable Apify Actor project structure, including input parameter definitions, output schema, rate limiting, retry strategy, and recommended directory organization for a TypeScript project.
A structured Actor project design covering inputs, outputs, project organization, and reliability strategies.
Crawl, scrape, search websites, and automate browsers at scale.
Quickly scrape websites and extract structured content for LLM workflows.
Adaptively scrape websites from single pages to full-scale crawls.
Build web interfaces that work well for both AI agents and humans.
Scrape web pages into Markdown for content capture and agent workflows.
Automate web scraping, manage datasets, and retrieve structured crawl results with Apify.