Python is a versatile language that can be used for many different purposes. One such purpose is web scraping, which can be used to extract data from websites. LinkedIn is a popular website that can be scraped for data such as profile information and contact details. There are many Python-based services that can be used to scrape LinkedIn data. In this article, we will take a look at some of the best LinkedIn scraper Python services.
There are a few different Python-based services that can be used to scrape data from LinkedIn. These services typically allow users to input a LinkedIn URL and then output the data in a format that can be easily imported into a spreadsheet or other database.
There are many LinkedIn scraper Python services available online. Some of these services are free, while others are paid. No matter which service you choose, make sure that it is reliable and can provide you with the data you need.
I have been very successful in providing the technical services to the clients over the past 3 years around the glob. I have over 3 years of experience in Python Django and python automation using Scrapy and Selenium.
My Expertise Includes:
- Scrape data from Website to CSV, XLSX, JSON, SQL and TXT format
- Scrape JavaScript based Webpages
- Scrape data after Login/Sign in
- Bots that download files
- Bots that Bypass Captcha
- Bots that Bypass ReCaptcha
- Bots with integrated APIs from any website
Tools:
- Requests
- Selenium
- BeautifulSoup
- Scrapy
- Node.js
- Relationship Databases such as MySQL
- NOSQL such as MongoDB
- Can extract information from any website or any source.
- Can load / transfer data to any output format (CSV, XML, Excel, MySQL etc)
Best Projects:
- Written my own proxy library to bypass Captcha and reCaptcha
- LinkedIn job scraper
- LinkedIn profile scraper
- Indeed job scraper
- Indeed company detail scraper
- Indeed resume scraper
- Yelp scraper (you can scrape any category for any location)
- Amazon
- Trading, buy and sell automated bots