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JSDOM Scraper

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JSDOM Scraper

JSDOM Scraper

apify/jsdom-scraper
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Parses the HTML using the JSDOM library, providing the same DOM API as browsers do (e.g. `window`). It is able to process client-side JavaScript without using a real browser. Performance-wise, it stands somewhere between the Cheerio Scraper and the browser scrapers.

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You can access the JSDOM Scraper programmatically from your own Python 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 ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "startUrls": [{ "url": "https://crawlee.dev" }],
10    "globs": [{ "glob": "https://crawlee.dev/*/*" }],
11    "pseudoUrls": [],
12    "excludes": [{ "glob": "/**/*.{png,jpg,jpeg,pdf}" }],
13    "linkSelector": "a[href]",
14    "pageFunction": """async function pageFunction(context) {
15    const { window, request, log } = context;
16
17    // The \"window\" property contains the JSDOM object which is useful
18    // for querying DOM elements and extracting data from them.
19    const pageTitle = window.document.title;
20
21    // The \"request\" property contains various information about the web page loaded. 
22    const url = request.url;
23    
24    // Use \"log\" object to print information to actor log.
25    log.info('Page scraped', { url, pageTitle });
26
27    // Return an object with the data extracted from the page.
28    // It will be stored to the resulting dataset.
29    return {
30        url,
31        pageTitle
32    };
33}""",
34    "proxyConfiguration": { "useApifyProxy": True },
35    "initialCookies": [],
36    "additionalMimeTypes": [],
37    "preNavigationHooks": """// We need to return array of (possibly async) functions here.
38// The functions accept two arguments: the \"crawlingContext\" object
39// and \"requestAsBrowserOptions\" which are passed to the `requestAsBrowser()`
40// function the crawler calls to navigate..
41[
42    async (crawlingContext, requestAsBrowserOptions) => {
43        // ...
44    }
45]""",
46    "postNavigationHooks": """// We need to return array of (possibly async) functions here.
47// The functions accept a single argument: the \"crawlingContext\" object.
48[
49    async (crawlingContext) => {
50        // ...
51    },
52]""",
53    "customData": {},
54}
55
56# Run the Actor and wait for it to finish
57run = client.actor("apify/jsdom-scraper").call(run_input=run_input)
58
59# Fetch and print Actor results from the run's dataset (if there are any)
60print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
61for item in client.dataset(run["defaultDatasetId"]).iterate_items():
62    print(item)
63
64# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

JSDOM Scraper API in Python

The Apify API client for Python is the official library that allows you to use JSDOM Scraper API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

pip install apify-client

Other API clients include:

Developer
Maintained by Apify
Actor metrics
  • 5 monthly users
  • 4 stars
  • 25.0% runs succeeded
  • Created in Dec 2022
  • Modified 3 months ago