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Clean Instagram Scraper results into a CSV of posts

The step after Instagram Scraper: drop the profile rows, keep one row per post when runs overlap, sort by likes, pull the first hashtag and collaborator out of their lists, and save a CSV with the columns you name. The sample is two runs over NASA's profile; pick your own run's dataset instead.

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Dataset Transformer: Filter, Dedupe, JSON to CSV
Dataset Transformer: Filter, Dedupe, JSON to CSVhumble-echidna/dataset-transform
Post
Account
Posted
Type
+6 fields
Text
Number
Boolean
List
Object

Input

Apify dataset:Regbj4Ntr8wtRcDfc
Filters:type == post
Remove duplicates by:id
Sort by:likesCount desc
Fields to keep (and rename):url+9
Also save as a file:csv

Output fields

Post
Account
Posted
Type
Likes
Comments
Video (s)
First hashtag
Collab with
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 Instagram Scraper results into a CSV of posts". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Clean Instagram Scraper results into a CSV of posts" 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.

Receive the "Clean Instagram Scraper results into a CSV of posts" output

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 post, account, posted, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Clean Instagram Scraper results into a CSV of posts" task via API.

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