10/7/2023 0 Comments Twitter trends archiveIf we only want to make sure we only get back Tweets that have the phrase “craft beer” in it, we can simply add quotes to our query and instead search for "craft beer":Ĭheck out the other search options under “Operators” on Twitter’s Query Documentation - you can do a lot more and even search for Tweets by emoji or stock ticker mention! Note that while many of the Tweets contain the phrase “craft beer” exactly, some of them match on semantically similar terms, such as “craft breweries”: So let’s say we’re interested in scraping Tweets about “craft beer” - we can start by trying the query craft beer on the Search Tweets Integration:Īnd we can get a sample of the results back. You can use more advanced operators like AND, OR and - to require or exclude keywords appear in the Tweets you get back. If you’re lucky enough to have access to the Twitter Academic Product Track, then you can use the Search Tweets Integration with the “Recent or All” set to all so you can search Twitter from 2006 for your query!īefore building your search query, you should take a look at Twitter’s Building a Search Query documentation with some examples. I - Twitter API V2 Archive Search (Academic Research Track or 7-Day) Disclaimer: I, the author of this article, happen to own the Stevesie Data Platform. If you do not want to use a paid platform, then you can refer to the links above and directly access the Twitter API at your own time, expense and effort. Stevesie Data is a paid platform and the rest of this article assumes you have the plus plan for running workflows. The rest of this article will discuss how to use the Stevesie Data Platform to collect Tweets from these two endpoints listed above, which will return the results in a single CSV file you can easily analyze and use in other programs without writing any code. if you are a student or faculty at a university, this is your best bet and you can scrape up to 10,000,000 historical Tweets per month! Otherwise, you’ll need to pay Twitter for access to Twitter’s Premium API to access the Twitter V1.1 Search Full Archive Endpoint. There are two main ways to get this data back from Twitter and will depend largely if you have access to Twitter’s Academic Research Product Track - e.g. From here, you can then download and analyze this historical Twitter Data to your heart’s content. Think of it like entering a search term on Google (or your favorite search engine), and instead of getting webpage links back, you get back text and metadata about every single Tweet that matches the keyword or topic provided. Instead, we can use the Twitter API to query Tweets containing a general keyword relating to our interest, all the way back to 2006. However, we cannot simply scrape (or download) ALL of the Tweets in existence, they would likely not fit on your hard drive. The immense number of Tweets in existence since 2006 is mind boggling, and harvesting these Tweets may prove useful for research or historical trend analysis. If you don’t have academic access, you can check out Scraping Twitter. IMPORTANT: Twitter Academic Research Product Track is required to scrape historical Tweets beyond one week ago. Scraping All Historical Tweets by Keyword or Topic You may also want to add -is:retweet -is:reply -is:quote to your query to avoid these other types. $TWTR Gets tweets mentioning the cashtag $TWTR.place:"new york city" Get Tweets geo-located in New York City.These require the Academic Research Project: You can also use this with deeper threads by looking for conversation_id in responses. ![]() if you want to get all the replies to then pass in conversation_id:1555434849908903936 as your query. replies, retweets, etc…) by passing in the Tweet ID. conversation_id:1555434849908903936 Only retrieve Tweets that belong to a conversation (e.g. ![]() See all codes in building a query (scroll to the bottom).
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