Instagram Hashtag Trend Monitoring Using Web Scraping

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Diterbitkan: Apr 24, 2020
DOI: https://doi.org/10.30818/jpkm.2020.2050103
Kata Kunci:
hashtag trend monitoring, hashtag trend on Instagram, web scraping
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Adri Priadana
Universitas Jenderal Achmad Yani Yogyakarta
Aris Wahyu Murdiyanto
Universitas Jenderal Achmad Yani Yogyakarta

Abstrak

In recent years, Instagram has become one of the fastest growing social media platforms. Searching images on Instagram can be done by using a particular keyword or often known as the hashtag. The hashtag is one of the parameters that can use to find out the topics that are being talked about on social media. There are many advantages for knowing a hot topic on social media to support decision making. This study aims to monitor trends of hashtags on the Instagram platform using web scraping techniques. This research has succeeded in extracting and analyzing post data on Instagram to provide trend information from a #MerryChrismas hashtag. The results of this study are the visible trend in the #MerryChrismas hashtag experienced an increase in the last two days, namely on 24 and 25 December 2019. In addition, this research also succeeded in displaying posts with the most number of likes and comments from a hashtag at a certain time period.

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Vol 5 No 1 (2020): April 2020
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