Facebook Page Data Scraper

Facebook Data Extractor

Facebook Data Extractor is developed to extract necessary details such as email address, no of followers, contact details, profile details, etc.

Facebook Data Feed Includes

Posts, comments, reviews, likes, address, Instagram profiles, services, Twitter profiles, websites, etc.

This Facebook data is used to search for any profiles.

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 Facebook

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.

Facebook data scraper will allow you to search for the profiles that you can filter based on various filters like Instagram profiles, Facebook Business Page, address, city, etc. Facebook profile scraper is used to scrape Facebook user details using Python depending on the requirements. You can filter as per the requirements and copy the relevant URL and put it in the initial tab in the EDIT PDE view after selecting the criteria for the data you require.

Uses and Benefits of Scraping Facebook Data

• 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 Facebook data fields we will scrape: