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MachineLearning High-Score Research Post Archive

Scrape high-scoring posts from r/MachineLearning since 2023. Get a CSV/JSON export of the top research discussions with scores above 500.

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Reddit Historical Archive Scraper - Old Posts by Date
Reddit Historical Archive Scraper - Old Posts by Datelogiover/reddit-historical-archive-scraper
Subreddit
Author
Title
Score
+5 fields
Text
Number
Boolean
List
Object

Input

Subreddits:MachineLearning
Post IDs
Usernames
Post Search Queries
Comment Search Queries
Reddit URLs (auto-detected)
Sort:top
After Date (ISO):2023-01-01
Before Date (ISO)
Minimum Score:500
User Content Type:overview
Max Items (Global):300
Max Items Per Target:300
Request Delay (ms):1200
Max Retries on 429/5xx/timeout:5
Proxy:{1 field}

Output fields

Subreddit
Author
Title
Score
Upvote %
Comments
Posted
Permalink
Link

How it works

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The Reddit Historical Archive Scraper - Old Posts by Date Actor is ready to run with the inputs already set for "MachineLearning High-Score Research Post Archive". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "MachineLearning High-Score Research Post Archive" task

The Reddit Historical Archive Scraper - Old Posts by Date Actor will start running based on the input automatically. You can also change all the input fields, like subreddits, post ids, and more, to match your specific use case.

Receive the "MachineLearning High-Score Research Post Archive" 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 subreddit, author, title, 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 "MachineLearning High-Score Research Post Archive" task via API.

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