Linkedin Profile Scraper

Python empty template Start a new web scraping project quickly and easily in Python with our empty project template. It provides a basic structure for the Actor with Apify SDK and allows you to easily add your own functionality. ## 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 ## How it works Insert your own code to async with Actor: block. You can use the Apify SDK with any other Python library. ## Resources - Python tutorials in Academy - Video guide on getting data using Apify API - Integration with Make, GitHub, Zapier, Google Drive, and other apps - A short guide on how to build web scrapers using code templates: web scraper template ## Getting started For complete information see this article. To run the Actor use the following command: bash apify run ## Deploy to Apify ### Connect Git repository to Apify If you've created a Git repository for the project, you can easily connect to Apify: 1. Go to Actor creation page 2. 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. 1. Log in to Apify. You will need to provide your Apify API Token to complete this action. bash apify login 2. 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. bash apify push ## 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