Reddit API/Post/Fetch Reddit Post Details in Batch (Max 5)
Reddit · Post

Reddit Fetch Reddit Post Details in Batch (Max 5) API

Batch get post details by a list of post IDs, supports up to 5 posts per batch, optionally including the context of a specific comment Note: Supports a maximum of 5 posts per batch More than 5 will return an error The ID format for the APP API differs from the Web API — a type prefix is required Post ID prefix: t3_ (e.g., t3_1ojnh50) Comment ID prefix: t1_ (e.g., t1_abcd123)

GET/v1/reddit/fetch_post_details_batch
post_idsstringrequired

Comma-separated list of post IDs, format: "t3_XXXXXX,t3_YYYYYY", up to 5 posts

include_comment_idbooleanoptional

Whether to include a specific comment ID, default is False

comment_idstringoptional

Comment ID (used when include_comment_id is True), format: "t1_XXXXXX"

need_formatbooleanoptional

Whether to clean/sanitize the data

Reddit API Use Cases

Fetch Reddit Post Details in Batch (Max 5) Data Collection

Retrieve fetch reddit post details in batch (max 5) data from Reddit at scale for analytics and research.

Competitive Intelligence

Monitor Reddit activity and benchmark against competitors using real-time data.

Automation & Integration

Integrate Reddit fetch reddit post details in batch (max 5) data into your product, dashboard, or data pipeline.

Frequently Asked Questions

Is the Reddit API official?

No, KeyAPI provides an unofficial Reddit API that lets you access Reddit data through our platform. We handle the complexities of data collection so you can focus on building your application.

How current is the data?

We provide real-time data from Reddit. When you make a request, we fetch the latest information available.

How do credits work?

Each API endpoint consumes credits. Most endpoints cost just 1 credit. All pricing is transparent in our API documentation with no hidden fees.

Can I use this for AI model training?

Yes. KeyAPI provides structured, AI-ready data ideal for training datasets, fine-tuning LLMs, and building AI pipelines. Our historical archives are particularly valuable for large-scale training workloads.

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