Reddit comment-thread scraper — the comment tree of any Reddit post for AI agent
Reddit comment-thread scraper — the comment tree of any Reddit post for AI agents. Pass a post URL and get the post plus its nested comments (depth- and limit-controlled): for each comment the author, body, score, nesting depth, parent id, permalink, OP flag, and timestamp; a truncated flag plus totalComments show when a thread has more than returned. No login, no Reddit API key. Analyze discussion, sentiment, and community reaction on any thread.
Answeringour last check, 2026-10-25
2 of 2checks answered this week
893 msmedian answer time
$0.03listed price per call
$0.03price it asked us
Paid test badge: not yet. The checks above are free: we call the tool without paying and read the payment request it sends back. The Verified badge needs paid calls whose answers match the promised output, and nobody can buy a badge.
Endpoint
GET https://reddit.apitoll.cloud/v1/reddit/comments
| Category | Search and research |
|---|---|
| Provider host | reddit.apitoll.cloud |
| Networks | eip155:8453, solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp |
| Payment schemes | exact |
| Self-reported calls, 30 days | 1 from 1 payers (the provider's figure, not ours) |
Our checks, last 30 days
| Day | Result | HTTP | Asked | Time |
|---|---|---|---|---|
| 2026-10-25 | valid payment request | 402 | $0.03 | 912 ms |
| 2026-10-24 | valid payment request | 402 | $0.03 | 875 ms |
Example input (from the provider)
{
"method": "GET",
"queryParams": {
"url": "https://www.reddit.com/r/programming/comments/1tlh5aj/announcement_weve_updated_the_rules_and_april_is/"
},
"type": "http"
}
Promised output schema (from the provider)
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"method": {
"enum": [
"GET"
],
"type": "string"
},
"queryParams": {
"properties": {
"depth": {
"description": "How deep to follow nested comment chains (0 = post only).",
"maximum": 50,
"minimum": 0,
"type": "integer"
},
"limit": {
"description": "Max comments to return (1-100).",
"maximum": 100,
"minimum": 1,
"type": "integer"
},
"url": {
"description": "Full Reddit post URL or permalink. Defaults to a demo post if omitted.",
"type": "string"
}
},
"required": [
"url"
],
"type": "object"
},
"type": {
"const": "http",
"type": "string"
}
},
"required": [
"type",
"method"
],
"type": "object"
},
"output": {
"properties": {
"example": {
"properties": {
"asOf": {
"type": "string"
},
"comments": {
"items": {
"properties": {
"author": {
"type": "string"
},
"body": {
"type": "string"
},
"depth": {
"type": "number"
},
"fullId": {
"type": "string"
},
"id": {
"type": "string"
},
"isSubmitter": {
"type": "boolean"
},
"parentId": {
"type": "string"
},
"postId": {
"type": "string"
},
"recordType": {
"type": "string"
},
"score": {
"type": "number"
},
"scrapedAt": {
"type": "string"
},
"subreddit": {
"type": "string"
},
"url": {
"type": "string"
}
},
"type": "object"
},
"type": "array"
},
"count": {
"type": "number"
},
"depth": {
"type": "number"
},
"post": {
"properties": {
"author": {
"type": "string"
},
"fullId": {
"type": "string"
},
"id": {
"type": "string"
},
"isSelf": {
"type": "boolean"
},
"numComments": {
"type": "number"
},
"recordType": {
"type": "string"
},
"score": {
"type": "number"
},
"scrapedAt": {
"type": "string"
},
"selfText": {
"type": "string"
},
"subreddit": {
"type": "string"
},
"title": {
"type": "string"
},
"url": {
"type": "string"
}
},
"type": "object"
},
"postUrl": {
"type": "string"
},
"source": {
"properties": {
"name": {
"type": "string"
},
"via": {
"type": "string"
}
},
"type": "object"
},
"totalComments": {
"type": "number"
},
"truncated": {
"type": "boolean"
}
},
"type": "object"
},
"type": {
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}