Pricing
Pay per usage
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.
4.8 (11)
Pricing
Pay per usage
184
9.5K
914
Issues response
12 days
Last modified
3 months ago
You can access the Cheerio Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = {9 "startUrls": [{ "url": "https://crawlee.dev/js" }],10 "respectRobotsTxtFile": True,11 "globs": [{ "glob": "https://crawlee.dev/js/*/*" }],12 "pseudoUrls": [],13 "excludes": [{ "glob": "/**/*.{png,jpg,jpeg,pdf}" }],14 "linkSelector": "a[href]",15 "pageFunction": """async function pageFunction(context) {16 const { $, request, log } = context;17
18 // The \"$\" property contains the Cheerio object which is useful19 // for querying DOM elements and extracting data from them.20 const pageTitle = $('title').first().text();21
22 // The \"request\" property contains various information about the web page loaded. 23 const url = request.url;24 25 // Use \"log\" object to print information to Actor log.26 log.info('Page scraped', { url, pageTitle });27
28 // Return an object with the data extracted from the page.29 // It will be stored to the resulting dataset.30 return {31 url,32 pageTitle33 };34}""",35 "proxyConfiguration": { "useApifyProxy": True },36 "initialCookies": [],37 "additionalMimeTypes": [],38 "preNavigationHooks": """// We need to return array of (possibly async) functions here.39// The functions accept two arguments: the \"crawlingContext\" object40// and \"requestAsBrowserOptions\" which are passed to the `requestAsBrowser()`41// function the crawler calls to navigate..42[43 async (crawlingContext, requestAsBrowserOptions) => {44 // ...45 }46]""",47 "postNavigationHooks": """// We need to return array of (possibly async) functions here.48// The functions accept a single argument: the \"crawlingContext\" object.49[50 async (crawlingContext) => {51 // ...52 },53]""",54 "customData": {},55}56
57# Run the Actor and wait for it to finish58run = client.actor("apify/cheerio-scraper").call(run_input=run_input)59
60# Fetch and print Actor results from the run's dataset (if there are any)61print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])62for item in client.dataset(run["defaultDatasetId"]).iterate_items():63 print(item)64
65# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use Cheerio Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: