← Catalog · All dump and feed prices · Apify Actor
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.
Free sample — start here
One subreddit, the most recent week of posts and comments, delivered as CSV or JSON. No charge. Email which subreddit you want and I send the file.
Inbound only. I do not cold-email Store users. New buyers start here or on the Actor page.
Before booking, inspect nine real sample rows or follow the n8n import and refresh guide. The sample contains selected fields and shortened text from a January 2024 r/Python check.
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.
After the free sample, these are the paid next steps:
| Package | Scope | Price |
|---|---|---|
| Backfill 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 |
A managed weekly feed is also available: new posts and comments from your subreddit every week, delivered as CSV or JSON (other formats on request). Email if you want that set up.
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.
Self-serve Actor costs, checked 5 September 2026: Free tier: $3 per 1,000 saved posts or comments, plus $0.005 for each post whose comment fetch returns eligible comments. Gold: $2.40 per 1,000 rows plus $0.004 per non-empty thread. A start event also applies per GB of memory, minimum one: $0.00005 Free or $0.00004 Gold. At 512 MB, the nine-row sample with three non-empty threads is $0.04205 before discounts. These are Actor event fees; confirm your plan and maximum run charge in Apify before starting.
Fields that actually land in a RAG pack
title, selftext,
permalink, created_iso,
score, subreddit, author
body, post_id,
parent_id, same timestamps
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.
| 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 |
A paid dump still starts with a new sample on your subreddit. That proof run is not your corpus.
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.
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.
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.
Yes. Free-tier pricing is $3 per 1,000 saved posts or comments, plus $0.005 per post with returned comments and a memory-based start fee. Gold prices are $2.40 per 1,000 rows and $0.004 per non-empty comment thread. Use the Actor for self-serve pulls; the service adds scoped sampling, export checks and delivery.
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.