1// Crawlee - web scraping and browser automation library (Read more at https://crawlee.dev)
2import { CheerioCrawler } from '@crawlee/cheerio';
3// Apify SDK - toolkit for building Apify Actors (Read more at https://docs.apify.com/sdk/js/)
4import { Actor } from 'apify';
5
6// this is ESM project, and as such, it requires you to specify extensions in your relative imports
7// read more about this here: https://nodejs.org/docs/latest-v18.x/api/esm.html#mandatory-file-extensions
8import { router } from './routes.js';
9
10// The init() call configures the Actor to correctly work with the Apify-provided environment - mainly the storage infrastructure. It is necessary that every Actor performs an init() call.
11await Actor.init();
12
13// Structure of input is defined in input_schema.json
14const { startUrls = ['https://apify.com'], maxRequestsPerCrawl = 100 } = (await Actor.getInput()) ?? {};
15
16// Proxy configuration to rotate IP addresses and prevent blocking (https://docs.apify.com/platform/proxy)
17// `checkAccess` flag ensures the proxy credentials are valid, but the check can take a few hundred milliseconds.
18// Disable it for short runs if you are sure your proxy configuration is correct
19const proxyConfiguration = await Actor.createProxyConfiguration({ checkAccess: true });
20
21const crawler = new CheerioCrawler({
22    proxyConfiguration,
23    maxRequestsPerCrawl,
24    requestHandler: router,
25});
26
27await crawler.run(startUrls);
28
29// Gracefully exit the Actor process. It's recommended to quit all Actors with an exit()
30await Actor.exit();

This template example was built with Crawlee  to scrape data from a website using Cheerio  wrapped into CheerioCrawler .

Once you've installed the dependencies, start the Actor:

$apify run

Once your Actor is ready, you can push it to the Apify Console:

apify login # first, you need to log in if you haven't already done so

apify push

.actor/
├── actor.json # Actor config: name, version, env vars, runtime settings
├── dataset_schema.json # Structure and representation of data produced by an Actor
├── input_schema.json # Input validation & Console form definition
└── output_schema.json # Specifies where an Actor stores its output
src/
└── main.js # Actor entry point and orchestrator
storage/ # Local storage (mirrors Cloud during development)
├── datasets/ # Output items (JSON objects)
├── key_value_stores/ # Files, config, INPUT
└── request_queues/ # Pending crawl requests
Dockerfile # Container image definition

For more information, see the Actor definition  documentation.

This code is a JavaScript script that uses Cheerio to scrape data from a website. It then stores the website titles in a dataset.

• The crawler starts with URLs provided from the input startUrls field defined by the input schema. Number of scraped pages is limited by maxPagesPerCrawl field from the input schema.
• The crawler uses requestHandler for each URL to extract the data from the page with the Cheerio library and to save the title and URL of each page to the dataset. It also logs out each result that is being saved.

• Apify SDK  - toolkit for building Actors 
• Crawlee  - web scraping and browser automation library
• Input schema  - define and easily validate a schema for your Actor's input
• Dataset  - store structured data where each object stored has the same attributes
• Cheerio  - a fast, flexible & elegant library for parsing and manipulating HTML and XML
• Proxy configuration  - rotate IP addresses to prevent blocking

• Quick Start  guide for building your first Actor
• Video tutorial  on building a scraper using CheerioCrawler
• Written tutorial  on building a scraper using CheerioCrawler
• Web scraping with Cheerio in 2023 
• How to scrape a dynamic page  using Cheerio
• Integration with Zapier , Make, Google Drive and others
• Video guide on getting data using Apify API