Krishna kumari
Twitter has long established itself as one of the most prominent social media platforms. Every major brand and B2B marketer is trying to leverage Twitter to increase exposure and visibility. Analyzing historical Twitter data can help you develop an effective strategy to maximize social media success. But, to leverage Twitter’s full potential, brands and marketers must search and analyze historical Twitter data or old Tweets to gain vital insights. Historical Twitter data can gain vital audience insights like resonating content or optimal posting time.
Source: https://www.trackmyhashtag.com/historical-twitter-data
Let’s dive into the ways you can extract historical Twitter data through Twitter API :
1. Search API
2. Streaming API
3. Firehose API
While the Search API accesses tweets that are already sent out, the Streaming API accumulated tweets are happening in real-time. Similar to Search API, you can access data with keywords, locations, or usernames.
If tweets match the search criteria, it would start accumulating the tweets. But similar to Search API, Streaming API has its own set of limitations. Although, the major limitation is that it can only accumulate a sample of the requested data.
The final and most effective way to accumulate twitter historical search is through Firehose API. The Firehose API operates the same way streaming API does. Although, unlike Streaming API, Firehose is not subjected to infrastructure limitations.
Although, Twitter Firehose is handled by two data providers, GNIP and DataSift, that have close relations with Twitter. The main difference between Streaming and Firehose is the 100% guaranteed delivery of Twitter data.
Twitter’s Search API involves extracting Twitter data through a search or username. This specific API lets users access Twitter data tweets that have already occurred.
Users can pull Twitter data keywords, locations, @mentions, or named places. Although, the search results are limited by Twitter’s rate limits. You can only access up to 3200 tweets of historical Twitter data for each individual user.
TrackMyHashtag is a Twitter analytics tool. You can gain access to historical Twitter data for any search term with our advanced AI-driven tool. It provides access to Twitter data of any public Twitter account.
Just follow these steps :
1. Visit : historical Twitter data. Here, you will find a request data form.
2. Fill the form with your required details.
After a while, the team will get back to you with the specifics and pricing for the data.
If you want to get access to your historical Twitter data, you can do so directly from Twitter.
Just follow these simple steps:
1. Sign in to Twitter account.
2. In the menu, locate ‘More’ and then,‘Settings and privacy’
3. In the Your Account section, click ‘Download an archive of your data.'
4. Enter the password and verify it with the email notification.
5. Click request archive
You will soon link in the email associated with your Twitter account. Click on the link and check out the Twitter history.
Filter the tweets using the available options in the advanced search. The filters are:
Words: It will filter through the tweets based on the content in them.
Accounts: You can filter the tweets from, to, or mentioning any account.
URL Filter: If you want to see only replies or original tweets with links.
Engagements: It will let you choose the amount of engagement received by your tweets.
Date: You can choose the tweet’s time period. Add the desired date in ‘From’ and ‘To’ in the format: Month: Day: Year.
Twitter is the most sought-after platform for users to freely express their opinions. The diversity and the size of conversations make Twitter data a valuable resource. But extracting Historical Twitter data without the proper tools can be difficult.
TrackMyHashtag can help you access and analyze this data with ease. The comprehensive analytical insights can be very helpful in planning effective marketing strategies.
My name is Krishna, a content writer and digital marketing specialist. I work at Algodom Media LLP, a data and social media analytics company.
