apify-core-workflow-a

name	apify-core-workflow-a
description	Build a complete web scraping Actor with Crawlee and deploy to Apify. Use when you need end-to-end web scraping on Apify: defining an input schema, building a router-based Crawlee crawler, extracting structured data, storing results in a dataset, testing locally, and deploying the Actor to the platform. Trigger with "apify scrape website", "build apify actor", "crawlee scraper", "apify main workflow".
allowed-tools	Read, Write, Edit, Bash(npm:*), Bash(npx:*), Bash(apify:*), Grep
version	1.5.0
license	MIT
author	Jeremy Longshore <[e-mail]>
tags	["saas","scraping","automation","apify"]
compatibility	Designed for Claude Code

Apify Core Workflow A — Build & Deploy a Scraper

Overview

End-to-end workflow: define input schema, build a Crawlee-based Actor, extract structured data, store results in datasets, test locally, and deploy to Apify platform. This is the primary money-path workflow for Apify.

Prerequisites

• npm install apify crawlee in your project
• npm install -g apify-cli and apify login completed
• For programmatic retrieval (Step 6), an API token in APIFY_TOKEN — read it from the environment (process.env.APIFY_TOKEN), never hard-code it
• Familiarity with apify-sdk-patterns

Instructions

Step 1: Define Input Schema

Create .actor/INPUT_SCHEMA.json:

{
  "title": "E-Commerce Scraper",
  "type": "object",
  "schemaVersion": 1,
  "properties": {
    "startUrls": {
      "title": "Start URLs",
      "type": "array",
      "description": "Product listing page URLs to scrape",
      "editor": "requestListSources",
      "prefill":