TA DIGITAL
Crawling Data #lowongankerja on Twitter Using Website-Based Tweepy
In today's era, social media, especially Twitter, is widely used to find the latest information, one of which is to find job vacancies. So far, the search for job vacancies on Twitter is done manually by using the search function on Twitter, to get information by entering the desired keywords. In addition, Twitter users also use the tweet feature to find information. To get the desired tweet, we have to read the tweets one by one which takes a lot of time, this is not only efficient but also inaccurate data. In this study, the author makes a simple website using the Twitter API, Tweepy library, Tesseract library, openCV library, Database, and Search Features on the Website. Extraction of features displayed from Twitter data retrieval results are in the form of Username, Verified, URL, Tweet search, and Convert URL Image results using Tesseract.
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