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Unfiltered community discussion

Reddit Data, Delivered

Public Reddit content and engagement metrics, normalised to the same schema as every other platform we cover and pushed into your stack. Nothing to build, nothing to maintain.

source specification

Source
reddit.com
Objects
Posts, Comment threads, Subreddit metadata, Vote scores, Author handles
Formats
JSON · CSV · Parquet
Refresh
Continuous to daily
Scope
Public content only

about the platform

What makes Reddit different

Reddit is the largest archive of unprompted public opinion on the internet, organised into tens of thousands of topic communities with their own norms and vocabularies. Unlike the engagement-optimised feeds elsewhere, Reddit content is threaded, voted, and largely written by people who are not performing for an audience — which is precisely what makes it useful. When someone explains why they returned a product or switched vendors, they usually do it here.

why teams track it

Why Reddit data is worth having

Reddit is where product problems surface before they reach support queues and where purchase decisions get argued out in public. Product teams use it for unfiltered feedback that survey instruments never capture, brand teams use it as an early-warning system, and AI teams use it as one of the richest sources of natural conversational language available for training and evaluation.

Visit reddit.com

applications

What teams build on Reddit data

Early-warning brand monitoring

Product problems appear on Reddit before they reach your support queue, and often before they reach anywhere else. A rising thread in the right subreddit is the earliest warning you will get.

Unfiltered product feedback

People explain why they switched, returned, or stayed in far more detail than any survey elicits — including the reasons they would never write on a feedback form.

Competitive comparison mining

"X vs Y" threads are among the most honest competitive research available, and they surface the specific objections your sales team keeps running into.

AI training and evaluation corpora

Threaded conversational data with clear parent-child structure and a community quality signal in the vote score. One of the most useful natural-language sources for dialogue work.

Community and trend detection

Subreddit growth and posting velocity identify emerging interests while they are still niche, months ahead of mainstream coverage.

Sentiment with actual context

Because comments are threaded, sentiment can be read against what it is replying to — which is the difference between a usable signal and a polarity score that means nothing.

what you get back

Fields in the Reddit feed

Platform-specific detail on top of the unified social schema, so a dashboard built on one platform works on the next without a rewrite.

  • Post title, body, subreddit, and permalink
  • Full comment trees with parent-child threading preserved
  • Vote score and comment count per post
  • Subreddit metadata including subscriber count and topic
  • Author handle and post timestamps
  • Flair and tag taxonomy as each community defines it

Public surfaces only

We collect what a logged-out visitor can see. No authentication is bypassed, no private content is touched, and no attempt is made to deanonymise anyone.

One schema across platforms

A post from any network arrives with the same field names, so adding a platform does not mean rewriting anything downstream.

Deletion propagates

When content is removed at source it drops out of subsequent deliveries, and retention windows on delivered data are configurable per engagement.

10+
Platforms covered
<60s
Detection latency
3
Delivery formats
99.9%
Uptime SLA

questions

Frequently Asked Questions

Everything you need to know before you send us your first request.

Yes, and it is the field that matters most in this source. Parent-child relationships are preserved in full rather than flattened into a list of comments, because a reply read without its parent is frequently meaningless — sarcasm, corrections, and disagreement all depend on what came before. Flattened Reddit data is much less useful than it looks.
Both. You can scope collection to a set of communities, to keyword and brand-term matches across the platform, or to a combination — brand mentions everywhere plus deep coverage of the handful of subreddits where your category actually gets discussed. That combination is the usual configuration.
It is one of the better public sources for conversational and dialogue work: naturally threaded, topically organised, and carrying a built-in community quality signal in the vote score. We deliver it with threading and metadata intact so you can filter on those signals rather than ingesting the whole firehose. Licensing and permitted use are scoped explicitly in the engagement.
Deletion at source propagates through the pipeline, so removed content drops out of subsequent deliveries. Retention windows on data already delivered are configurable and set during onboarding, and our DPA covers the processor relationship. We treat user-generated content as containing personal data by default rather than assuming otherwise.
Into the systems you already run. Normalised records land as JSON, CSV, or Parquet in S3, GCS, or Azure Blob, or straight into Snowflake or BigQuery, on whatever cadence you set. Webhooks push matches to your endpoints as they are detected, which is how most customers wire alerting. A solutions engineer sets the schema, cadence, and destination with you during onboarding.
Keeping the collector working is our responsibility. Extractors are monitored continuously, and when the platform changes its structure we patch upstream while the schema we deliver to you stays fixed. If a change causes a coverage gap we tell you which window was affected rather than quietly returning fewer records.
Pricing is scoped per engagement — the number of tracked terms, handles, or communities, the refresh cadence, and the delivery destinations involved. Historical backfill is quoted separately. Every engagement starts with a free sample run against your own brand terms, so you can judge the data before committing.

Still have questions?

Talk to an engineer

Ready to Get Started?

Talk to us about your sources and volume. We'll return a sample dataset from your target sites before you commit to anything.

SOC 2 Type II
GDPR & CCPA compliant
99.9% uptime SLA

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