BeautifulSoup Scraper
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BeautifulSoup Scraper
apify/beautifulsoup-scraper
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Crawls websites using raw HTTP requests. It parses the HTML with the BeautifulSoup library and extracts data from the pages using Python code. Supports both recursive crawling and lists of URLs. This Actor is a Python alternative to Cheerio Scraper.
Do you want to learn more about this Actor?
Get a demoThe 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 more
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 "maxCrawlingDepth": 1,
10 "requestTimeout": 10,
11 "linkSelector": "a[href]",
12 "linkPatterns": [".*crawlee\\.dev.*"],
13 "pageFunction": """from typing import Any
14
15# See the context section in readme to find out what fields you can access
16# https://apify.com/vdusek/beautifulsoup-scraper#context
17def page_function(context: Context) -> Any:
18 url = context.request['url']
19 title = context.soup.title.string if context.soup.title else None
20 return {'url': url, 'title': title}
21""",
22 "soupFeatures": "html.parser",
23 "proxyConfiguration": { "useApifyProxy": True },
24}
25
26# Run the Actor and wait for it to finish
27run = client.actor("apify/beautifulsoup-scraper").call(run_input=run_input)
28
29# Fetch and print Actor results from the run's dataset (if there are any)
30print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
31for item in client.dataset(run["defaultDatasetId"]).iterate_items():
32 print(item)
33
34# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
Developer
Maintained by Apify
Actor metrics
- 23 monthly users
- 4 stars
- 94.4% runs succeeded
- Created in Jul 2023
- Modified 3 months ago
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