Reddit Scraper: Keyword Alerts for New Posts & Comments

Reddit Scraper - Get every new Reddit post that mentions your brand or keyword - and new posts and comments in the subreddits you care about.

What does Reddit Scraper do?

It reads Reddit's public RSS feeds, which stay open when the JSON endpoints most Reddit scrapers use get blocked, and remembers what it showed you, so each run returns only the new mentions - the top Reddit scraper fails 13% of its runs and has no 'new since last run'.

• New posts mentioning your keywords across all of Reddit
• New posts and optional new comments from chosen subreddits
• Only-new mode for daily alerts, with a baseline on the first run
• Title, text, author, subreddit, time and link in one row
• No login, cookies or Reddit API key

Why this Reddit Scraper?

Reddit blocks its JSON endpoints for most automated traffic, so runs fail. This Reddit Scraper checks every run and tells you plainly when a page could not be read, instead of returning empty or wrong rows.

How to use Reddit Scraper

1. Press Start - the form already holds an example that works.
2. Put in your own input (see the fields on the Input tab).
3. Run it once, or put it on an Apify Schedule to get fresh rows every day.
4. Download the results as JSON, CSV or Excel, or send them to Google Sheets, Zapier, Make, the Apify API or an AI agent (Apify MCP server).

Input example

{
  "keywords": [
    "apify"
  ],
  "includeComments": false,
  "onlyNew": false,
  "maxItems": 20,
  "useApifyProxy": true
}

Output example (a real run)

[
  {
    "id": "t3_1x4zmf4",
    "type": "post",
    "title": "Best Enterprise Web Scraping Services of 2026",
    "author": "olokpapi",
    "subreddit": "scrapingtheweb",
    "url": "https://www.reddit.com/r/scrapingtheweb/comments/1x4zmf4/best_enterprise_web_scraping_services_of_2026/",
    "postedAt": "2026-10-13T15:25:22+00:00",
    "text": "Enterprise web scraping has changed quite a bit over the last few years where it used to be mostly about buying residential proxies from providers like bright data or oxylabs and running scrapy or puppeteer clusters and maintaining custom parsers for every website. Now a lot of enterprise scraping is used to feed LLMs, RAG vector databases and AI agents then getting the HTML is only part of the job, you also need to handle JS heavy websites and turn all that raw content into clean data without spending hours maintaining browser infra. Here's how some of the main options compare: Bright Data and Oxylabs are still strong choices if you're dealing with huge scraping volumes across different countries and already have data engineers who can build custom parsers. Their proxy infra is built for scale but you'll still need to handle much of the data cleaning and processing yourself. Firecrawl takes a different approach especially for teams building LLM and AI agent workflows where it handles JS rendering and scraping infra and returns clean markdown or structured JSON that's easier to use in an LLM pipeline. It also offers features like change monitoring and prompt injection protection. Apify is useful when you want ready made scrapers called actors for platforms like google maps, Instagram or Amazon and it's convenient for specific scraping jobs but managing actors, serverless queues and runtimes can add complexity when you're building a larger RAG pipeline across different website",
    "matched": [
      "apify"
    ],
    "status": "seen",
    "checkedAt": "2026-10-13T17:23:47+00:00"
  }
]

One flat row per result.

How much does Reddit Scraper cost?

You pay only per result (pay per event) - no monthly fee, no minimum, and the price per result is lower on Apify's Bronze, Silver and Gold plans. The exact price is on the Pricing tab. Apify's free plan credit is enough to try it on real input.

Also searched as

• reddit keyword alerts
• reddit monitor
• reddit brand mentions
• subreddit scraper
• reddit posts scraper

FAQ

Does Reddit Scraper need a login, cookies or an API key? No. It reads public pages only.

Can I run Reddit Scraper on a schedule? Yes - with Apify Schedules; each run returns fresh rows.

Can I call it from Python, JavaScript or an AI agent? Yes - through the Apify API, the Apify client libraries or the Apify MCP server.

Is it legal? It collects only data anyone can see without logging in. You are responsible for using it within the source site's terms and data protection law (GDPR, CCPA).

What if the site blocks a request? The run retries from a fresh connection and, if it still cannot read the page, stops with a clear message - never with made-up rows.

Data source: www.reddit.com

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