apify-core-workflow-a

# 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 - Familiarity with `apify-sdk-patterns` ## Instructions ### Step 1: Define Input Schema Create `.actor/INPUT_SCHEMA.json`: ```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": [{ "url": "https://example-store.com/products" }] }, "maxItems": { "title": "Max items", "type": "integer", "description": "Maximum number of products to scrape", "default": 100, "minimum": 1, "maximum": 10000 }, "proxyConfig": { "title": "Proxy configuration", "type": "object", "description": "Select proxy to use", "editor": "proxy", "default": { "useApifyProxy": true } } }, "required": ["startUrls"] } ``` ### Step 2: Build the Actor with Router Pattern ```typescript // src/main.ts import { Actor } from 'apify'; import { CheerioCrawler, createCheerioRouter, Dataset, log } from 'c...