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). Gets tweets mentioning lang:en Restrict tweets to a certain language.#beer Gets tweets containing the hashtag #beer.from:twitterdev Gets tweets from the account (leave out the in your query).Some common example (you can combine these with a space in between to do an AND search): As you go through all of your Tweets, share your favorites using #TwitterArchive.Search query to run on Twitter, see Twitter API Query Builder Documentation for examples and the Twitter Search API Quick Start Guide. We look forward to seeing the old Tweets you uncover. Since then, we’ve done the engineering work necessary to make it available to Twitter users. This project was first built during one of our quarterly Hack Weeks. We’re really excited to bring this feature to everyone, and we appreciate your patience as we work to do so. Over the coming weeks and months, we’ll make it available to all users around the world, for all the languages we offer. If you don’t see that option in Settings today, know that it’s on the way! We’re rolling out this feature slowly, starting today with a small percentage of users whose language is set to English. You’ll receive an email with instructions on how to access your archive when it’s ready for you to download. If you do see it, go ahead and click the button. Go to Settings and scroll down to the bottom to check for the option to request your Twitter archive. Once you have your Twitter archive, you can view your Tweets by month, or search your archive to find Tweets with certain words, phrases, hashtags or You can even engage with your old Tweets just as you would with current ones. ![]() Today, we’re introducing the ability to download your Twitter archive, so you’ll get all your Tweets (including Retweets) going back to the beginning. We know lots of you would like to explore your Twitter past. ![]() Maybe you wanted to recall your reaction to the 2008 election, reminisce on what you said to your partner on your 10th anniversary, or just see your first few Tweets. And if you tweet, you may have found yourself wanting to go back in time and explore your past Tweets. It’s no secret: You make Twitter what it is.
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