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Cheerio Scraper
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Cheerio Scraper

Cheerio Scraper

apify/cheerio-scraper
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No credit card required

Crawls websites using raw HTTP requests, parses the HTML with the Cheerio library, and extracts data from the pages using a Node.js code. Supports both recursive crawling and lists of URLs. This actor is a high-performance alternative to apify/web-scraper for websites that do not require JavaScript.

The code examples below show how to run the Actor and get its results. To run the code, you need to have an Apify account. Replace <YOUR_API_TOKEN> in the code with your API token, which you can find under Settings > Integrations in Apify Console. Learn mode

Node.js

Python

curl

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4client = ApifyClient("<YOUR_API_TOKEN>")
5
6# Prepare the Actor input
7run_input = {
8    "startUrls": [{ "url": "https://crawlee.dev" }],
9    "globs": [{ "glob": "https://crawlee.dev/*/*" }],
10    "pseudoUrls": [],
11    "excludes": [{ "glob": "/**/*.{png,jpg,jpeg,pdf}" }],
12    "linkSelector": "a[href]",
13    "pageFunction": """async function pageFunction(context) {
14    const { $, request, log } = context;
15
16    // The \"$\" property contains the Cheerio object which is useful
17    // for querying DOM elements and extracting data from them.
18    const pageTitle = $('title').first().text();
19
20    // The \"request\" property contains various information about the web page loaded. 
21    const url = request.url;
22    
23    // Use \"log\" object to print information to actor log.
24    log.info('Page scraped', { url, pageTitle });
25
26    // Return an object with the data extracted from the page.
27    // It will be stored to the resulting dataset.
28    return {
29        url,
30        pageTitle
31    };
32}""",
33    "proxyConfiguration": { "useApifyProxy": True },
34    "initialCookies": [],
35    "additionalMimeTypes": [],
36    "preNavigationHooks": """// We need to return array of (possibly async) functions here.
37// The functions accept two arguments: the \"crawlingContext\" object
38// and \"requestAsBrowserOptions\" which are passed to the `requestAsBrowser()`
39// function the crawler calls to navigate..
40[
41    async (crawlingContext, requestAsBrowserOptions) => {
42        // ...
43    }
44]""",
45    "postNavigationHooks": """// We need to return array of (possibly async) functions here.
46// The functions accept a single argument: the \"crawlingContext\" object.
47[
48    async (crawlingContext) => {
49        // ...
50    },
51]""",
52    "customData": {},
53}
54
55# Run the Actor and wait for it to finish
56run = client.actor("apify/cheerio-scraper").call(run_input=run_input)
57
58# Fetch and print Actor results from the run's dataset (if there are any)
59for item in client.dataset(run["defaultDatasetId"]).iterate_items():
60    print(item)
Developer
Apify logo Maintained by Apify
Actor metrics
  • 357 monthly users
  • 99.6% runs succeeded
  • 5.9 days response time
  • Created in Apr 2019
  • Modified 4 days ago

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