apify-scraper-builder

Build production web scrapers by initializing an Apify Actor project, selecting a crawler type (Cheerio, Playwright, or Puppeteer) based on content rendering needs, defining input schemas, configuring Docker, and deploying via Apify CLI. The Skill provides templates and validation workflows for each step.

Choose Cheerio for fast static HTML parsing, Playwright for modern JS-rendered pages with cross-browser support, and Puppeteer for legacy sites or high-volume crawls requiring fine-grained browser control. Crawlee patterns in this Skill guide selection based on your target content type.

Input schemas validate Actor parameters before execution. Generate input_schema.json using the provided script, define field types and constraints from natural descriptions, and validate with built-in validation steps to ensure correct Actor configuration and user input handling.

Yes. This Skill covers structuring actors for high-volume crawls by configuring Dockerfiles, selecting appropriate crawler types, setting input schemas with scaling parameters, and deploying to Apify's infrastructure for production workloads across static, JS-rendered, and legacy sites.

Prepare your environment with Docker, the Apify CLI, and Crawlee. Initialize a new Actor project with the provided init script, define your .actor directory structure, and structure input schemas before writing crawler logic or Dockerfile configurations.

Validate Actors using the provided validation script to check project structure, input schemas, and Dockerfiles for correctness. Run local testing workflows, verify input editors and schema constraints, then deploy to Apify using the CLI once validation passes.