LinkedIn Scraper Dynamic
by ornate_cadet
Opens on Apify.com
About LinkedIn Scraper Dynamic
What does this actor do?
LinkedIn Scraper Dynamic is a web scraping and automation tool available on the Apify platform. It's designed to help you extract data and automate tasks efficiently in the cloud.
Key Features
- Cloud-based execution - no local setup required
- Scalable infrastructure for large-scale operations
- API access for integration with your applications
- Built-in proxy rotation and anti-blocking measures
- Scheduled runs and webhooks for automation
How to Use
- Click "Try This Actor" to open it on Apify
- Create a free Apify account if you don't have one
- Configure the input parameters as needed
- Run the actor and download your results
Documentation
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 python 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 ## Getting started For complete information see this article. In short, you will: 1. Build the Actor 2. 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: 1. Install apify-cli Using Homebrew bash brew install apify-cli Using NPM bash npm -g install apify-cli 2. 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. bash apify pull <ActorId> ## Documentation reference To learn more about Apify and Actors, take a look at the following resources: - Apify SDK for JavaScript documentation - Apify SDK for Python documentation - Apify Platform documentation - Join our developer community on Discord
Categories
Common Use Cases
Market Research
Gather competitive intelligence and market data
Lead Generation
Extract contact information for sales outreach
Price Monitoring
Track competitor pricing and product changes
Content Aggregation
Collect and organize content from multiple sources
Ready to Get Started?
Try LinkedIn Scraper Dynamic now on Apify. Free tier available with no credit card required.
Start Free TrialActor Information
- Developer
- ornate_cadet
- Pricing
- Paid
- Total Runs
- 100
- Active Users
- 3
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