Pricing
Pay per usage
Facebook Ads Scraper
Under maintenanceScrape the Facebook Ads Library for any keyword. This actor extracts ad details and then visits each advertiser's page to capture valuable company info: websites, social links, and categories. Perfect for building high-quality lead lists from active advertisers automatically.
Pricing
Pay per usage
Rating
0.0
(0)
Developer
Actor stats
4
Bookmarked
93
Total users
0
Monthly active users
a year ago
Last modified
Categories
Share
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
Actor.get_input()gets the input where the page URL is definedhttpx.AsyncClient().get(url)fetches the pageBeautifulSoup(response.content, 'lxml')loads the page data and enables parsing the headings- 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"]):
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:
Getting started
For complete information see this article. To run the Actor use the following command:
Deploy to Apify
Connect Git repository to Apify
If you've created a Git repository for the project, you can easily connect to Apify:
- Go to Actor creation page
- Click on Link Git Repository button
Push project on your local machine to Apify
You can also deploy the project on your local machine to Apify without the need for the Git repository.
-
Log in to Apify. You will need to provide your Apify API Token to complete this action.
$apify login -
Deploy your Actor. This command will deploy and build the Actor on the Apify Platform. You can find your newly created Actor under Actors -> My Actors.
$apify push
Documentation reference
To learn more about Apify and Actors, take a look at the following resources:
