This page compares FetchLayer, a Reddit API, with Redlisten, an API for public Reddit posts and comments. Figures for FetchLayer come from its own page at fetchlayer.dev, read on 7 Nov 2026. Prices change; check the vendor before you buy.
The numbers to check
- Price per 1,000 requests: FetchLayer: $1.99 per 1,000 requests, $1.67 on Starter. Redlisten Pro is $29 for 50,000 requests, about $0.58 per 1,000.
- Results per call: FetchLayer: one request per call whatever the item count; empty results are free. Redlisten: up to 250 per request on Pro and 1,000 on Team, so about $0.03 per 1,000 results on Pro.
- How new posts arrive: FetchLayer: Not stated. Redlisten collects posts and comments as they are posted and keyword streams push each match to you. A polled Reddit listing stops near 1,000 items and an RSS fetch returns at most 100, so whatever scrolls past between polls is missed.
FetchLayer and Redlisten side by side
| FetchLayer | Redlisten | |
|---|---|---|
| Price | pay as you go at $1.99 per 1,000 requests, Starter at $25 a month for 15,000 | Free $0, Pro $29, Team $99, Business $299 a month |
| Cost per 1,000 | $1.99 per 1,000 requests, $1.67 on Starter | $0.58 per 1,000 requests on Pro; about $0.03 per 1,000 results |
| Results per call | one request per call whatever the item count; empty results are free | Up to 250 per request on Pro, 1,000 on Team |
| Free tier | 30 requests | 250 requests and 10,000 results a month, no card |
| New posts and comments | Not stated | Collected as they are posted; live feeds and keyword streams |
| History | Not stated | 30 days of posts and comments searchable on paid plans, 7 on Free |
| Comments | Yes | Yes, included at no extra cost |
| Write actions | Reads data, no posting | Reads data, no posting, by design |
| Integrations | MCP listed on the free plan | MCP, Zapier, Make, Apify, RapidAPI, RSS paths, webhooks, Slack, Discord |
When FetchLayer is the better pick
You make a small number of calls and like that empty results are not billed. That is a fair reason to choose it, and Redlisten does not try to cover every network or every workflow.
Where Redlisten is stronger
Redlisten Pro is $29 for 50,000 requests, about $0.58 per 1,000 against $1.67 to $1.99, with up to 250 results per request, 30 days of search and keyword streams.
History is the other number. The last 30 days stay searchable, with mention counts per day, so you can answer "what was said about this last week" without having watched at the time. And a keyword stream backfills those 30 days the moment you create it, then delivers each new match to Slack, Discord, a webhook or an email digest.
Questions to ask any Reddit data vendor
Whoever you choose, ask four things. How many results does one paid call return, and are empty results billed? How far back can you search, and does that include comments? Are new posts pushed to you, or do you poll and diff? And what happens to your bill on a busy day, when a keyword you track suddenly gets ten times the usual mentions?
What a switch looks like
Redlisten answers Reddit style paths such as /r/{sub}/new.json, /comments/{id}.json and /search.json at api.redlisten.com, so code that already reads Reddit's JSON layout ports by changing the base URL and adding a key. Feed readers use the same paths with .rss. For new work, /v1/posts and /v1/comments give a cursor feed of everything collected, and /v1/streams creates a keyword watch. The docs list every endpoint and the fields each returns.
A free key is created at signup with 250 requests and 10,000 results a month and no card. Pro is $29 a month for 50,000 requests and 1 million results, Team $99 for 250,000 requests and 5 million results, Business $299 for 1 million requests and 10 million results. Every plan is listed on the pricing page, dated 6 Nov 2026.
Want to see the data before signing up? Every keyword has a free preview at redlisten.com/reddit/<keyword> with 30 days of mention counts and sample threads, and every community has one at redlisten.com/r/<name>. Redlisten is not affiliated with Reddit, Inc., and is not affiliated with FetchLayer.