# Reddit Search & Mentions Scraper (`scrapers_lat/reddit-search-scraper`) Actor
Search all of Reddit by keyword and extract matching posts with full text, scores and engagement. Built for brand and topic mention monitoring.
- **URL**: https://apify.com/scrapers\_lat/reddit-search-scraper.md
- **Developed by:** [Scrapers Lat](https://apify.com/scrapers_lat) (community)
- **Categories:** Social media, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $10.00 / 1,000 results
This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".
## How to integrate an Actor?
If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).
For usage examples, see the [API](#api) section below.
For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
# README
[](https://console.apify.com/actors/IX61DCDFiwfIkb0Ym/input)
## Reddit Search & Mentions Scraper
> Search all of Reddit by keyword and pull every matching post with full text, scores and engagement. Built for brand, product and topic mention monitoring.
30 fields per post
All Reddit coverage
JSON / CSV / Excel output formats
Updated 2026-06-28
### What you get
One record per matching post for each search term, with the full text of self posts plus every engagement and classification field Reddit exposes. Track when your brand, product or any topic is mentioned across every public community at once.
- **matchedQuery**: which of your search terms surfaced this post
- **title**: the post title
- **selftext\***: the full text body of a self/text post
- **url**: the external link a post points to (link posts)
- **id**: the Reddit post id (without the t3_ prefix)
- **subreddit**: the community the post is in
- **author**, **authorFullname**: the poster's username and Reddit id
- **score**: net upvotes
- **upvoteRatio\***: share of votes that are upvotes (0 to 1)
- **numComments**: comment count
- **numCrossposts**: how many times the post was crossposted
- **totalAwards**: number of awards on the post
- **linkFlairText**: the post's flair label, when set
- **permalink**: the canonical reddit.com link to the post
- **domain**: the source domain (`self.` for text posts)
- **isSelf**, **isVideo**, **isNsfw**, **isSpoiler**, **isOriginalContent**: content flags
- **isPinned**, **isLocked**, **isArchived**: moderation flags
- **edited\***: timestamp when the post was edited, or false
- **thumbnail**: the post thumbnail image, when present
- **galleryImageUrls\***: array of image URLs for gallery posts
- **createdAt**: when the post was submitted
- **observedAt**: when this post was last seen by the scraper
*\*These fields only appear when Fetch Full Post Text is set to true.*
### How it works
| Input | What it does |
|---|---|
| `searchQueries` | One or more keywords/phrases. Each is searched separately across all of Reddit. |
| `subreddits` | Optional. Restrict the search to these communities instead of all of Reddit. |
| `sort` | Order results by relevance, hot, top, new or most comments. |
| `timeFilter` | Limit results to the past hour, day, week, month, year or all time. |
| `withDetails` | Open each matched post for full self text, upvote ratio and gallery images. |
| `maxItems` | Cap the total number of posts across all queries. |
### Use cases
| Use case | Who it is for |
|---|---|
| Brand and product mention monitoring | Marketing and social teams |
| Competitor and campaign tracking | Growth and PR teams |
| Topic and trend research | Researchers and analysts |
| Sentiment and voice-of-customer analysis | Data scientists |
| Lead and community discovery | Founders and sales |
### Frequently Asked Questions
**How is this different from a subreddit scraper?**
This actor searches across all of Reddit by keyword, so you find every mention of a term wherever it appears. A subreddit scraper pulls a community's feed regardless of topic. Use this one to monitor mentions; use a feed scraper to follow specific communities.
**Can I search several terms at once?**
Yes. Add each term to `searchQueries` and every result carries a `matchedQuery` field so you know which term found it.
**Can I limit the search to certain subreddits?**
Yes. Fill `subreddits` to restrict the search to those communities. Leave it empty to search all of Reddit.
**Does it return the full post text?**
With Fetch Full Post Text enabled, every self/text post carries its complete `selftext` body. Link posts have no body text, so the external `url` is populated instead.
**How many results can I collect?**
Set `maxItems` to whatever you need. Each query pages through results and the total is capped by `maxItems` across all your terms.
### Example use cases
Ready-to-run example tasks, each preconfigured for a common scenario. Open one and press run, or use it as a template:
- [Reddit AI Mentions](https://apify.com/scrapers_lat/reddit-search-scraper/examples/reddit-search-ai-mentions): Monitor Reddit posts mentioning artificial intelligence with full text, subreddit, score and author.
- [Reddit Bitcoin Posts](https://apify.com/scrapers_lat/reddit-search-scraper/examples/reddit-search-bitcoin-posts): Collect top Reddit posts about Bitcoin with full text, subreddit, score, comments and author for research.
- [Reddit Tesla Mentions](https://apify.com/scrapers_lat/reddit-search-scraper/examples/reddit-search-tesla-mentions): Track Reddit posts mentioning Tesla across all communities with full text, subreddit, score and author.
### Related scrapers
Need data from the same space? Here are other scrapers we build and maintain:
- [Reddit Posts Scraper](https://apify.com/scrapers_lat/reddit-posts-scraper): Extract Reddit posts with full text, scores, awards and gallery images from any subreddit, search query or post URL.
- [Reddit Comments Scraper](https://apify.com/scrapers_lat/reddit-comments-scraper): Extract Reddit comment threads with full text, scores, author and nesting depth from any post.
- [Reddit Posts & Comments Scraper](https://apify.com/scrapers_lat/reddit-scraper): Extract Reddit posts and comments from subreddits and search results using the public Reddit feeds.
- [X (Twitter) Profiles & Tweets Scraper](https://apify.com/scrapers_lat/x-twitter-scraper): Extract public X (Twitter) tweets by tweet ID: text, author, likes, replies, media and timestamps.
- [Instagram Profile & Posts Scraper](https://apify.com/scrapers_lat/instagram-scraper): Extract public Instagram profiles and recent posts by username without login.
- [YouTube Scraper](https://apify.com/scrapers_lat/youtube-scraper): Scrape YouTube videos and channels by search query, video URL or channel URL.
### More scrapers at scrapers.lat
This actor is built and maintained by [scrapers.lat](https://scrapers.lat), where we publish scrapers for Latin American and US public platforms: real estate, jobs, e-commerce, company registries and government data. Browse the full catalog, see live sample output for each one, or ask us for a custom scraper at [scrapers.lat](https://scrapers.lat).
---
> This actor is an independent tool and has no affiliation with Reddit, Inc. It only accesses data that is publicly available on Reddit. Use it in accordance with Reddit's terms of service.
# Actor input Schema
## `searchQueries` (type: `array`):
Keywords or phrases to search across Reddit. Add one per line, for example: your brand name, a product, a competitor. Each query is searched separately.
## `searchQuery` (type: `string`):
Optional. A single search term, as an alternative to the list above.
## `subreddits` (type: `array`):
Optional. Limit the search to these subreddits (names without the r/ prefix). Leave empty to search all of Reddit.
## `sort` (type: `string`):
Result ordering.
## `timeFilter` (type: `string`):
Time window for the search results.
## `withDetails` (type: `boolean`):
When enabled, opens each matched post to capture its full self text, upvote ratio and gallery images. Disable for a faster, listing-only run.
## `maxItems` (type: `integer`):
Maximum number of posts to collect across all queries.
## `proxyConfiguration` (type: `object`):
Proxy settings. Reddit blocks datacenter ranges, so the Apify Residential proxy is required and set as the default.
## Actor input object example
```json
{
"searchQueries": [
"artificial intelligence"
],
"subreddits": [],
"sort": "relevance",
"timeFilter": "all",
"withDetails": true,
"maxItems": 25,
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
]
}
}
````
# Actor output Schema
## `results` (type: `string`):
No description
# API
You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.
## JavaScript example
```javascript
import { ApifyClient } from 'apify-client';
// Initialize the ApifyClient with your Apify API token
// Replace the '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"searchQueries": [
"artificial intelligence"
],
"subreddits": [],
"maxItems": 25
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/reddit-search-scraper").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
console.dir(item);
});
// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs
```
## Python example
```python
from apify_client import ApifyClient
# Initialize the ApifyClient with your Apify API token
# Replace '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"searchQueries": ["artificial intelligence"],
"subreddits": [],
"maxItems": 25,
}
# Run the Actor and wait for it to finish
run = client.actor("scrapers_lat/reddit-search-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"searchQueries": [
"artificial intelligence"
],
"subreddits": [],
"maxItems": 25
}' |
apify call scrapers_lat/reddit-search-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrapers_lat/reddit-search-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Reddit Search & Mentions Scraper",
"description": "Search all of Reddit by keyword and extract matching posts with full text, scores and engagement. Built for brand and topic mention monitoring.",
"version": "0.1",
"x-build-id": "x2ZyRxXArv4M5Do2Z"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/scrapers_lat~reddit-search-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-scrapers_lat-reddit-search-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/scrapers_lat~reddit-search-scraper/runs": {
"post": {
"operationId": "runs-sync-scrapers_lat-reddit-search-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/scrapers_lat~reddit-search-scraper/run-sync": {
"post": {
"operationId": "run-sync-scrapers_lat-reddit-search-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"required": [
"proxyConfiguration"
],
"properties": {
"searchQueries": {
"title": "Search Queries",
"type": "array",
"description": "Keywords or phrases to search across Reddit. Add one per line, for example: your brand name, a product, a competitor. Each query is searched separately.",
"items": {
"type": "string"
}
},
"searchQuery": {
"title": "Search Query (single)",
"type": "string",
"description": "Optional. A single search term, as an alternative to the list above."
},
"subreddits": {
"title": "Restrict to Subreddits",
"type": "array",
"description": "Optional. Limit the search to these subreddits (names without the r/ prefix). Leave empty to search all of Reddit.",
"items": {
"type": "string"
}
},
"sort": {
"title": "Sort",
"enum": [
"relevance",
"hot",
"top",
"new",
"comments"
],
"type": "string",
"description": "Result ordering.",
"default": "relevance"
},
"timeFilter": {
"title": "Time Range",
"enum": [
"hour",
"day",
"week",
"month",
"year",
"all"
],
"type": "string",
"description": "Time window for the search results.",
"default": "all"
},
"withDetails": {
"title": "Fetch Full Post Text",
"type": "boolean",
"description": "When enabled, opens each matched post to capture its full self text, upvote ratio and gallery images. Disable for a faster, listing-only run.",
"default": true
},
"maxItems": {
"title": "Max Items",
"minimum": 1,
"maximum": 1000000,
"type": "integer",
"description": "Maximum number of posts to collect across all queries."
},
"proxyConfiguration": {
"title": "Proxy Configuration",
"type": "object",
"description": "Proxy settings. Reddit blocks datacenter ranges, so the Apify Residential proxy is required and set as the default.",
"default": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
]
}
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```