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Reddit RAG dump: 90 days of r/X, posts + comments

Q: Why not download Academic Torrents or Arctic Shift myself?

Those dumps are terabytes of compressed monthly files. You still have to pick subreddits, parse zst, join comments to posts, and cut a date window. The packaged dump is that work already done for named communities.

Q: Is this a Pushshift replacement?

No. Public Pushshift is gone. This Actor reads the public PullPush and Arctic Shift archives and fails over when one is down. Coverage and freshness follow those archives. I do not claim a complete firehose or deleted-content vault.

Q: Do you scrape usernames or search comment bodies?

No. This SKU is RAG-only: named subreddits, a date window, posts and comments. No user-history scrape and no comment-body full-text search.

Past the official ~1,000-post cap. I run a sample on your subreddit and window, then deliver JSON, CSV, or JSONL. You do not download a multi-terabyte torrent or keep an archive API alive.

Email a dump quote Run the r/Python sample

Inbound only. I do not cold-email Store users. New buyers start here or on the Actor page.

Who this is for

People building a retrieval corpus who need what a subreddit said over months, not what is on the front page this morning. Typical job: last 90 days of r/MachineLearning plus comments, chunked for a vector store. Live scrapers stop at Reddit’s listing cap. Academic Torrents still leaves you with a warehouse of .zst files.

What you get

Package	Scope	Price
Sample	1 subreddit, 90 days, posts + comments, up to 5,000 rows	$250 (credited if you take a dump)
Dump	1–3 subreddits, named window, up to 250k rows, one delivery	$2,000–$4,000
Fat dump	Large window or multi-sub pack, up to 1M rows	$5,000–$8,000
Refresh	Same filters, weekly or monthly, same sink	$400–$900 / mo

Row caps are delivery caps, not a promise the archive holds that many items. Thin windows still bill the booked package. You pay Apify usage on your account unless the quote bundles a cap. Store PPE stays $2.40/1k Gold.

Fields that actually land in a RAG pack

Posts: title, selftext, permalink, created_iso, score, subreddit, author
Comments (optional): body, post_id, parent_id, same timestamps
Every row has type = post or comment

Not in this SKU: user-history scrape, comment-body full-text search, deleted-content recovery, or legal cover for how you use the text.

Dump vs torrent vs running the Actor

Path	Use it when
Store Actor	You want a small or weekly pull and will start the run yourself
This dump	You want 50k–1M rows delivered once, with a sample first
Arctic Shift / Academic Torrents	You already have disk, DuckDB, and time to parse monthly dumps

Proof already on file

Cloud run gJAFTYmczF0JICN6B: 119 items (25 posts + 94 comments) in ~38s
Public 30d on 18 Aug 2026: 1,633 succeeded / 1,635 total, 0 failed (2 aborted)
Example Task: 90-day r/Python RAG pack

A paid dump still starts with a new sample on your subreddit. That proof run is not your corpus.

How to order

Email the subreddit(s), window, comments on/off, and delivery format.
I run a sample (or you run the public Task) and we confirm fields.
You pay the booked package. I deliver once to the sink you named.

Longer write-up: how to get a historical Reddit RAG pack after Pushshift. Jobs, rentals, and Maps feeds live on the quote hub if Reddit is the wrong source.

Questions

Why not download Academic Torrents or Arctic Shift myself?

Those archives are terabytes of compressed monthly files. You still pick subreddits, parse zst, join comments to posts, and cut a date window. The dump is that work already done for named communities.

Is this a Pushshift replacement?

No. Public Pushshift is gone. The Actor reads PullPush and Arctic Shift and fails over when one is down. Coverage follows those archives. I do not sell a complete firehose or a deleted-content vault.

Can I just run the Apify Actor myself?

Yes. Store PPE is $2.40 per 1,000 results on Gold. Use that for small or recurring pulls. The dump is for a 50k–1M row backfill you do not want to babysit.

Do you scrape usernames or search comment bodies?

No. RAG-only: named subreddits, a date window, posts and comments. No user-history scrape and no comment-body full-text search.

benthepythondev · benthepythondev0@gmail.com · Actor bugs stay on the Issues tab.