Siso Linkedin Data Mine V2
1 day trial then $2.49/month - No credit card required now
Siso Linkedin Data Mine V2
1 day trial then $2.49/month - No credit card required now
The LinkedIn URL Scraper automates the extraction of LinkedIn profile details, including profile URLs, names, current positions, locations, connection counts, and profile images. Ideal for agencies seeking efficient lead generation and data collection from LinkedIn, simplifying business processes.
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, 'html.parser')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. In short, you will:
- Build the Actor
- Run the Actor
Pull the Actor for local development
If you would like to develop locally, you can pull the existing Actor from Apify console using Apify CLI:
-
Install
apify-cliUsing Homebrew
brew install apify-cliUsing NPM
npm -g install apify-cli -
Pull the Actor by its unique
<ActorId>, which is one of the following:- unique name of the Actor to pull (e.g. "apify/hello-world")
- or ID of the Actor to pull (e.g. "E2jjCZBezvAZnX8Rb")
You can find both by clicking on the Actor title at the top of the page, which will open a modal containing both Actor unique name and Actor ID.
This command will copy the Actor into the current directory on your local machine.
apify pull <ActorId>
Documentation reference
To learn more about Apify and Actors, take a look at the following resources:
SISO Agency- 6 monthly users
- 8 stars
- 100.0% runs succeeded
- Created in May 2024
- Modified 4 months ago
