Reddit sentiment analysis data: posts and comments
Collect the posts and comments where people discuss a product, brand or stock, ready for a sentiment analysis model or an LLM. Each row has the text, score and date, so you can weight opinions by upvotes and track sentiment over time.
Input
Output fields
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The Reddit Scraper - Posts, Comments, Subreddits, No API Key Actor is ready to run with the inputs already set for "Reddit sentiment analysis data: posts and comments". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Reddit sentiment analysis data: posts and comments" task
The Reddit Scraper - Posts, Comments, Subreddits, No API Key Actor will start running based on the input automatically. You can also change all the input fields, like π― scraping mode, π search query, and more, to match your specific use case.
Receive the "Reddit sentiment analysis data: posts and comments" 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 type, subreddit, author, 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 "Reddit sentiment analysis data: posts and comments" task via API.
Integrate "Reddit sentiment analysis data: posts and comments" into your workflow
Connect "Reddit sentiment analysis data: posts and comments" with 100+ integrations, or run it via API or MCP.
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