# Reddit Search, Posts & Comments Archive Scraper ($1/1k RAG) (`ramirez911/reddit-search-posts-comments-scraper`) Actor

Zero-block Reddit Posts, Subreddits & Comments Archive Scraper API ($1.00/1,000 items) for AI RAG, LLM training, and B2B social listening. Extracts full selftext, comment threads, scores, authors, URLs, and timestamps without Reddit IP blocks or proxies.

- **URL**: https://apify.com/ramirez911/reddit-search-posts-comments-scraper.md
- **Developed by:** [Štefan Bohumel](https://apify.com/ramirez911) (community)
- **Categories:** Social media, AI, Lead generation
- **Security:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 1,000 reddit item scrapeds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Reddit Search, Posts & Comments Archive Scraper API ($1.00 / 1,000 Items — RAG & AI Ready)

Extract **Reddit posts, subreddit discussions, and user comments** at **just $1.00 per 1,000 items** — **100% immune to Reddit datacenter IP blocks, zero residential proxies required, running in 256 MB RAM**.

Built for **AI / LLM RAG Pipelines**, **B2B Social Buying-Intent Monitoring**, **Pain-Point Research**, **Clay.com**, **n8n**, **Make**, and **MCP AI Agents**.

***

### Why Developers Choose This Reddit Scraper

1. **Zero 403 Blocks & Zero Proxy Costs**: Queries the indexed Arctic Shift Reddit Archive REST API directly over HTTP/2 instead of scraping `www.reddit.com` HTML — saving you $5–$15/GB in residential proxy costs.
2. **Both Posts (`posts`) and Comments (`comments`)**: Switch between full subreddit submissions (`title`, `selftext`, `upvoteRatio`, `numComments`) and granular comment streams (`bodyText`, `score`, `author`, `permalink`).
3. **Flexible Filtering**: Filter by multiple `subreddits`, `searchKeyword`, specific `author`, `daysBack` (`1` to `3,650` days), and `minScore`.
4. **LLM-Ready `mcpMarkdown`**: Every item includes a clean Markdown summary block ready for Claude, Cursor, LangChain, or vector database ingestion.

***

### Input Example

```json
{
  "subreddits": ["saas", "entrepreneur", "startups"],
  "contentType": "posts",
  "searchKeyword": "",
  "daysBack": 90,
  "minScore": 2,
  "maxResults": 30,
  "includeMcpMarkdown": true
}
```

***

### Companion Autonomous Scrapers & APIs on Apify Store

- **[Telegram Channel Search & Posts Scraper ($0.50/1k - No Login)](https://apify.com/ramirez911/telegram-channel-posts-search-scraper)** — Scrape public Telegram channels, post history, views, and links at $0.50/1,000.
- **[Bulk Email Validator & Catch-All Verifier ($0.50/1k Emails)](https://apify.com/ramirez911/bulk-email-validator-verifier-api)** — Verify B2B & consumer emails (DNS MX, SPF/DMARC, disposable & role checks) at $0.50/1,000.
- **[B2B Domain Contact, Email, DNS SaaS & Tech-Stack Scraper API](https://apify.com/ramirez911/b2b-domain-tech-contact-enricher)** — Enrich SaaS domains mentioned on Reddit with verified emails and tech stacks.

# Actor input Schema

## `subreddits` (type: `array`):

List of subreddits to scrape (e.g. 'saas', 'entrepreneur', 'startups', 'artificial').

## `contentType` (type: `string`):

Choose whether to extract Reddit submissions (posts) or comments.

## `searchKeyword` (type: `string`):

Optional keyword to match in post title/body or comment body (e.g. 'crm', 'pricing', 'ai agent').

## `author` (type: `string`):

Optional specific Reddit author username (without u/).

## `daysBack` (type: `integer`):

How many days back to search (1 to 3650).

## `minScore` (type: `integer`):

Only return posts/comments with at least this score.

## `maxResults` (type: `integer`):

Maximum number of Reddit items to return across all targets.

## `includeMcpMarkdown` (type: `boolean`):

Adds an LLM/RAG-ready 'mcpMarkdown' summary field.

## Actor input object example

```json
{
  "subreddits": [
    "saas",
    "entrepreneur"
  ],
  "contentType": "posts",
  "searchKeyword": "",
  "author": "",
  "daysBack": 90,
  "minScore": 0,
  "maxResults": 30,
  "includeMcpMarkdown": true
}
```

# Actor output Schema

## `results` (type: `string`):

Dataset items containing extracted Reddit submissions and comments.

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "subreddits": [
        "saas",
        "entrepreneur"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("ramirez911/reddit-search-posts-comments-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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "subreddits": [
        "saas",
        "entrepreneur",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("ramirez911/reddit-search-posts-comments-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "subreddits": [
    "saas",
    "entrepreneur"
  ]
}' |
apify call ramirez911/reddit-search-posts-comments-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,ramirez911/reddit-search-posts-comments-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/iBEVmTdiIupaJP8He/builds/oxXtuboRaREJ6XpyH/openapi.json