Scrape LinkedIn Data

LinkedIn Data Extractor

LinkedIn Data Extractor is developed to extract necessary information such as email address, contact details, position, name of the user, etc.

LinkedIn Data Feed Includes

Location, company name, descriptions, education details, designations, name, interests, LinkedIn Image URL, skills & Endorsements.

This LinkedIn data is used to search for the user or company.

Procedure to Use and Try Free Crawlers

The crawlers are 90% ready to work. With a few clicks, it becomes as easy as copying and pasting the content.

Step 1: Initiating Advance Search

Provide search queries for any search result URLs for scraping any information from LinkedIn

Step 2: Downloading

You can download the data in any required format such as CSV, HTML, Excel, and JSON.

Step 3: Scheduling the crawler

Schedule the crawler on an hourly basis, weekly, or regularly to stay updated with products on Dropbox.

LinkedIn followers’ data scraper allows you to search for the user details or job descriptions that you can filter depending on the job description, designation, current industry, recommendations, and location. LinkedIn Profile scraper is used to scrape LinkedIn user data using Python depending on the requirements from filtering on LinkedIn the category page. You can sort the filter as per the requirement and copy the relevant URL and put it in the initial URL tab in the EDIT PDE view after selecting the criteria for the data you need.

User and Benefits of Scraping LinkedIn Data

• If a department category or search page on LinkedIn contains pagination, all pages will be crawled repeatedly.
• You may also utilize the task scheduler capability to execute this scraper automatically.
• There will be no requirement to download any software or extensions.
• We will be always there to make necessary changes to the scrapers as per the requirement.
• You can download the data without any knowledge of coding.
• We analyze and resolve any issues that depend on website structure changes and blocking from the website.

The Result for the scraped file can be downloaded in a variety of forms, including CSV, XML, JSON, and XLSX. The following is a snapshot of the LinkedIn data fields we will scrape:

How Will Output Data Look Like?

This data will consist of 4 lines that contain information about a single page, such as user profile, designation, address, contact details, past experience, etc.