What is the Best Way to Extract Facebook Data?
What is Facebook?
Facebook is amongst the most popular social networking websites in the world, with more than 2.38 Billion monthly active users. Facebook helps you to post photos, texts, and other multimedia that you can share with other users have agreed to become your friend.
Facts & Figures of Facebook
India is having more than 269 million Facebook users, the USA has more than 183 million, and, Indonesia has more than 123 Million respectively. Facebook global advertising audience is 57% of Male and 43% of the Female. There are at least 69% of the adults are using Facebook in the USA.
1.62 Billion Active users are using Facebook with an MAU (Monthly Active Users) base of 66%. There are 41% of the users based in Asia, 16% of the users are in Europe, 10% of the users are based in the US & Canada, and the rest of the world contains 33%.
There are around 1.4 Billion users that are using groups every month, and over 10 Million groups are available. There are about 90 Million business pages on Facebook and more than 140 million businesses use Facebook every month.
There is around 48% of the Facebook revenue comes from the US & Canada, 23% from Europe, 19% from Asia, and 10% of the revenue comes from the rest of the world respectively. Web Screen Scraping helps you to Scrape data from Facebook Website as per the client’s requirements.
Scrape Data from Facebook
At Web Screen Scraping, we scrape Facebook Profile Data, Comments & Likes, Number of Posts, Facebook Business Page, Share Count, URL & Photos, Language, Last Name, First Name, and Address. We provide a fantastic and robust Facebook Data Scraping Tool so that you can start preparing data instantly and analyze the clients also. We provide an analytical view of the dashboard so that you will able to manage all the information in a single view. Our Facebook Scraper transforms data in the most understandable format to our clients so that they can analyze all the execution plans. Facebook Scraper can help you to scrape details and plot graphs that we need you to analyze counts which can hit on the types of posts.
