Clean TikTok Scraper results into a CSV ranked by views

Created by

Michael Costa

Actor

Dataset Transformer: Filter, Dedupe, JSON to CSV

The step after TikTok Scraper: keep the video rows, one per video when runs overlap, most viewed first, with views, likes, comments, shares, saves, length, sound and first hashtag in their own columns, saved as a CSV. The sample is three runs over NASA, Duolingo and Scrub Daddy; pick your own run's dataset instead.

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Dataset Transformer: Filter, Dedupe, JSON to CSVhumble-echidna/dataset-transform

Video

Creator

Posted

Views

+8 fields

Input

Apify dataset:A4H0YFhyIefKIiQ7M

Filters:type == video

Remove duplicates by:id

Sort by:views desc

Fields to keep (and rename):url+11

Also save as a file:csv

Output fields

Video

Creator

Posted

Views

Likes

Comments

Saves

Length (s)

Sound

First hashtag

Caption

How it works

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The Dataset Transformer: Filter, Dedupe, JSON to CSV Actor is ready to run with the inputs already set for "Clean TikTok Scraper results into a CSV ranked by views". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Clean TikTok Scraper results into a CSV ranked by views" task

The Dataset Transformer: Filter, Dedupe, JSON to CSV Actor will start running based on the input automatically. You can also change all the input fields, like apify dataset, filters, and more, to match your specific use case.

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Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as video, creator, posted, and more.