You can curate your search by limiting the tweets to a certain number of likes or a date in order to narrow down your data to a particular event or power of influence. Keywords / hashtags: At the highest level, you can pull a certain number of tweets that contains a specific keyword or hashtag or combinations of them.There are more details you can pull from Twitter that we will summarize in 3 levels: However, this is just the tip of the iceberg.
#WEBSCRAPER DUPLICATES FULL#
When we think of Twitter, we can all imagine a feed full of tweets back to back, with numbers of likes and specific owners of the tweets.
What do we mean by Twitter data? Should you use web scraper or API solution for data extraction? What are the real life examples that companies used Twitter data for? Let’s get started with answers.įigure 1: Top social media platforms in 2022 What is Twitter data? In this research, we will dive into each aspect of collecting Twitter data for your business use cases. 1 We don’t have a comparison of amount of text data across social media sites, but given that YouTube and Facebook support different content formats, Twitter may be the richest source of text data amongst all social media platforms. Twitter was among the most popular social media platforms in the world, with 436 million monthly active users in 2022 (see Figure 1).
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