Pricing

from $2.00 / 1,000 post scrapeds

Reddit Post & Modqueue Scraper - MCP, Community Intel + AI

RAG-ready Reddit feed with 99%+ run success - posts, comments, modqueue, sentiment at $0.002/post, no OAuth. MCP-compatible alternative to Brandwatch/Sprout/Mention ($4 vs $249/mo). AI digest across 5 LLM providers. Trudax-grade with bonus moderation. n8n webhooks. x402-ready.

Pricing

from $2.00 / 1,000 post scrapeds

Rating

0.0

(0)

Developer

Nick

Actor stats

Bookmarked

Total users

Monthly active users

6 days ago

Last modified

Categories

Social media

Marketing

MCP servers

You can access the Reddit Post & Modqueue Scraper - MCP, Community Intel + AI programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "mode": "subreddit",
10    "subreddit": "ChatGPT",
11    "searchQuery": "AI agents",
12    "searchSubreddit": "all",
13    "ollamaBaseUrl": "http://localhost:11434",
14    "proxyConfiguration": {
15        "useApifyProxy": True,
16        "apifyProxyGroups": ["RESIDENTIAL"],
17    },
18}
19
20# Run the Actor and wait for it to finish
21run = client.actor("harvestlab/reddit-scraper").call(run_input=run_input)
22
23# Fetch and print Actor results from the run's dataset (if there are any)
24print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
25for item in client.dataset(run["defaultDatasetId"]).iterate_items():
26    print(item)
27
28# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Scrape Reddit Posts & Sentiment - No OAuth Required $0.002 API in Python

The Apify API client for Python is the official library that allows you to use Reddit Post & Modqueue Scraper - MCP, Community Intel + AI API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Reddit Post & Modqueue Scraper - MCP, Community Intel + AI API in JavaScript

Reddit Post & Modqueue Scraper - MCP, Community Intel + AI API through CLI

Reddit Post & Modqueue Scraper - MCP, Community Intel + AI OpenAPI definition

Reddit Post & Modqueue Scraper - MCP, Community Intel + AI API

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Skyfire/x402-ready Google News monitor at $0.002/article. Tracks brands/topics, resolves publisher URLs, enriches metadata, optional AI briefings/sentiment, watch mode, and MCP-ready RAG feed. Meltwater/Cision/Mention alternative with n8n/Apify webhooks.

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ClearPath

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WebDataLabs

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Reddit Answers API "Ask Reddit" - AI Insights for n8n Pipelines

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Extract AI-powered answers in 6 languages from Reddit discussions at scale. Structured JSON + markdown for n8n, Make, and LLM pipelines. Includes full post/comment context, quotes with citations, and subreddit metadata. 6 languages supported. No login required. Pay per successful answer.

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agentify

n8n MCP Template

sameh.jarour/n8n-mcp-template

Sameh George Jarour

🔴 Reddit MCP — AI Post & Comment Search

nexgendata/reddit-mcp-server

MCP server for AI assistants to search Reddit posts, comments, subreddits, and user profiles. Extract trending topics and discussions. Works with Claude, Cursor, and any MCP-compatible client.