# Reddit Post Comments Scraper - Comments & Replies by URL

**Use case:** 

Paste one or more Reddit post links and export their top comments with nested replies for discussion analysis, sentiment research and customer feedback mining, with no Reddit login or API key. Each row is one comment with its text (plain and Markdown), author, score, depth, reply counts, posting time and permalink, plus the parent post's title, subreddit, author and score.

## Input

```json
{
  "urls": [
    "https://www.reddit.com/r/Python/comments/1v7tfx9/python_automations_are_so_much_better_than_ai/",
    "https://www.reddit.com/r/technology/comments/1xbq8vy/"
  ],
  "subreddits": [],
  "searchQuery": "",
  "searchInSubreddit": "",
  "usernames": [],
  "subredditSort": "hot",
  "searchSort": "relevance",
  "subredditTimeFilter": "week",
  "maxPostsPerSource": 10,
  "commentSort": "top",
  "maxCommentsPerPost": 20,
  "maxDepth": 2,
  "includeReplies": true,
  "expandAll": false,
  "completenessPass": false,
  "maxMoreRequestsPerPost": 0,
  "maxBackfillRequests": 0,
  "maxBackfillRounds": 6,
  "backfillBatch": 60,
  "dateFrom": "",
  "dateTo": "",
  "keywords": [],
  "keywordsMatchAll": false,
  "authors": [],
  "skipDeleted": true,
  "includePostInfo": true,
  "includePostRecord": false,
  "includeThreadPath": false,
  "includeBodyHtml": false,
  "outputTree": false,
  "authorKarma": false,
  "proxyConfiguration": {
    "useApifyProxy": false
  },
  "browserFallback": true,
  "concurrency": 4,
  "requestDelay": 0.7,
  "maxRetries": 6
}
```

## Output

```json
{
  "comment_id": {
    "label": "🆔 Comment ID",
    "format": "text"
  },
  "author": {
    "label": "🧑‍💻 Author",
    "format": "text"
  },
  "body_plain": {
    "label": "💬 Comment",
    "format": "text"
  },
  "score": {
    "label": "⭐ Score",
    "format": "number"
  },
  "depth": {
    "label": "🌲 Depth",
    "format": "number"
  },
  "is_op": {
    "label": "✍️ Is OP",
    "format": "boolean"
  },
  "created_at": {
    "label": "🕒 Posted at",
    "format": "date"
  },
  "permalink": {
    "label": "🔗 Link",
    "format": "link"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Reddit Post Comments Scraper Actor is ready to run with the inputs already set for "Reddit Post Comments Scraper - Comments & Replies by URL". [Sign up or log in](https://console.apify.com/create-task-from-example/klujwygTRLazfbWTH) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Reddit Post Comments Scraper - Comments & Replies by URL" task

The Reddit Post Comments Scraper Actor will start running based on the input automatically. You can also change all the input fields, like 🔗 reddit post urls, 📚 subreddits (optional), and more, to match your specific use case.

### 3. Receive the "Reddit Post Comments Scraper - Comments & Replies by URL" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as 🆔 comment id, 🧑‍💻 author, 💬 comment, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Reddit Post Comments Scraper - Comments & Replies by URL" task via API](https://apify.com/data_minds/reddit-post-comments-scraper.md).

## About this Actor

This example demonstrates how to use [Reddit Post Comments Scraper](https://apify.com/data_minds/reddit-post-comments-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/data_minds/reddit-post-comments-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

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 full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/data_minds/reddit-post-comments-scraper.md

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`).