python-start

Scrape single-page in Python template

A template for web scraping data from a single web page in Python. The URL of the web page is passed in via input, which is defined by the input schema. The template uses the HTTPX to get the HTML of the page and the Beautiful Soup to parse the data from it. The data are then stored in a dataset where you can easily access them.

The scraped data in this template are page headings but you can easily edit the code to scrape whatever you want from the page.

Included features

• Apify SDK for Python - a toolkit for building Apify Actors and scrapers in Python
• Input schema - define and easily validate a schema for your Actor's input
• Request queue - queues into which you can put the URLs you want to scrape
• Dataset - store structured data where each object stored has the same attributes
• HTTPX - library for making asynchronous HTTP requests in Python
• Beautiful Soup - library for pulling data out of HTML and XML files

How it works

1. Actor.get_input() gets the input where the page URL is defined
2. httpx.AsyncClient().get(url) fetches the page
3. BeautifulSoup(response.content, 'lxml') loads the page data and enables parsing the headings
4. This parses the headings from the page and here you can edit the code to parse whatever you need from the page

   for heading in soup.find_all(["h1", "h2", "h3", "h4", "h5", "h6"]):

5. Actor.push_data(headings) stores the headings in the dataset

Resources

• BeautifulSoup Scraper
• Python tutorials in Academy
• Web scraping with Beautiful Soup and Requests
• Beautiful Soup vs. Scrapy for web scraping
• Integration with Make, GitHub, Zapier, Google Drive, and other apps
• Video guide on getting scraped data using Apify API
• A short guide on how to build web scrapers using code templates:

web scraper template