# Reddit Profile Posts Scraper - Cheap 🔎👤📢 (`scrapestorm/reddit-profile-posts-scraper---cheap`) Actor

🔎 Looking to collect posts from Reddit profiles?
With this scraper, you can extract post data including titles, authors, subreddits, engagement metrics (votes & comments), timestamps, and media — all in a clean, ready-to-use format
Perfect for OSINT, content analysis & audience insights 📊🚀

- **URL**: https://apify.com/scrapestorm/reddit-profile-posts-scraper---cheap.md
- **Developed by:** [Storm\_Scraper](https://apify.com/scrapestorm) (community)
- **Categories:** Automation, Social media, Videos
- **Stats:** 3 total users, 0 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

$9.99/month + usage

To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period.You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#rental-actors

## 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

###  🔎👤📢 Reddit Profile Posts Scraper

The Reddit Profile Posts Scraper is a powerful automation tool designed to extract posts directly from Reddit user profiles.

Unlike basic scrapers, this actor intelligently collects structured post data such as titles, engagement metrics, timestamps, media, and more — all delivered in a clean, ready-to-use format.

Perfect for OSINT, content analysis, user behavior tracking, and audience insights 📊🚀

---

### 🎯 What This Scraper Does

Simply provide one or more Reddit profile URLs, and the actor will:

✅ Extract posts from Reddit user profiles

✅ Collect structured post data (content, stats, metadata)

✅ Capture engagement metrics (votes, comments)

✅ Support multiple profile URLs

✅ Handle pagination automatically (scroll/load more)

✅ Stop when:

The maximum number of posts is reached
No more results are available

---


### 📦 Field Descriptions

📝 Post Information

| Field            | Description                   |
| ---------------- | ----------------------------- |
| 🆔 **id**        | Unique post identifier        |
| 📝 **title**     | Post title                    |
| 🌐 **post_url**  | Direct link to the post       |
| 🧑 **author**    | Username of the post creator  |
| 🏠 **subreddit** | Subreddit where post was made |




📊 Engagement Metrics

| Field           | Description        |
| --------------- | ------------------ |
| 👍 **votes**    | Number of upvotes  |
| 💬 **comments** | Number of comments |



🕒 Metadata

| Field                  | Description               |
| ---------------------- | ------------------------- |
| ⏱ **timestamp**        | Post creation date        |
| 🖼️ **thumbnail_url**  | Thumbnail image URL       |
| 🔞 **nsfw**            | Whether content is NSFW   |
| ⚠️ **spoiler**         | Whether marked as spoiler |
| 📅 **extraction_date** | Data extraction timestamp |



---

### 🛠 How to Use

1️⃣ Configure Input

Provide Reddit profile URLs:

````

{
"urls": \[
"https://www.reddit.com/user/spez/",
"https://www.reddit.com/user/example/"
],
"maxItemsPerUrl": 30
}

```

2️⃣ Run the Actor

The scraper will:

• Load Reddit user profiles
• Extract posts data
• Collect engagement metrics
• Handle pagination automatically

3️⃣ Export the Dataset

Download your data in multiple formats:

✅ JSON

✅ CSV

✅ Excel

✅ XML

✅ HTML


### 💸 Pricing

This scraper operates on a monthly subscription model — you only pay for successful results.

💳 Price: $9.99 / month

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---

### ✏️ Input Schema Example

Use the following configuration to start scraping:

```

{
"urls": \[
"https://www.reddit.com/r/PS3/"
],
"maxItemsPerUrl": 30
}

```

| Field              | Type   | Description                           |
| ------------------ | ------ | ------------------------------------- |
| **urls**           | array  | List of Reddit profile URLs to scrape |
| **maxItemsPerUrl** | number | Maximum number of posts per profile   |


### 📤 Output Example

```

{
"id": "t3\_1slmgk3",
"title": "RESISTANCE: FALL OF MAN ONLINE MULTIPLAYER EVENT APRIL 12TH 2026!",
"subreddit": "r/PS3",
"post\_url": "https://www.reddit.com/r/PS3/comments/1slmgk3/resistance\_fall\_of\_man\_online\_multiplayer\_event/",
"timestamp": "2026-04-14T21:39:18.391000+0000",
"votes": "2",
"comments": "0",
"thumbnail\_url": "N/A",
"nsfw": false,
"spoiler": false,
"author": "contheone94",
"author\_id": "t2\_rm7t8gvnl",
"post\_type": "link",
"domain": "youtube.com",
"content\_url": "https://www.youtube.com/watch?v=gtV9kiesN2g",
"extraction\_date": "2026-04-14T22:04:02.554Z"
},
{
"id": "t3\_1sioeb3",
"title": "My uncle left me these before he passed away",
"subreddit": "r/PS3",
"post\_url": "https://www.reddit.com/r/PS3/comments/1sioeb3/my\_uncle\_left\_me\_these\_before\_he\_passed\_away/",
"timestamp": "2026-04-11T16:57:12.111000+0000",
"votes": "12529",
"comments": "906",
"thumbnail\_url": "https://preview.redd.it/my-uncle-left-me-these-before-he-passed-away-v0-zw32eogndlug1.jpeg?width=1080\&crop=smart\&auto=webp\&s=8d8fcb77e21250a0afed83498c3f2f3c7201b8e2",
"nsfw": false,
"spoiler": false,
"author": "jaa316",
"author\_id": "t2\_2menkhzq",
"post\_type": "image",
"domain": "i.redd.it",
"content\_url": "https://i.redd.it/zw32eogndlug1.jpeg",
"extraction\_date": "2026-04-14T22:04:02.554Z"
}

````

### 📊 Preconfigured Dataset View

🔎 Overview Table includes:

• Account ID
• Username & display name
• Profile URL
• Followers / following counts
• Posts count
• Bot / private status
• Account creation & last activity
• Relation type
• Source URL

---

### 📊 Use Cases

🕵️ OSINT & Investigations
Analyze user activity and posting behavior

📈 Content Analysis
Track trends and popular topics

🎯 Lead Generation
Identify active users in niche communities

🏢 Influencer Discovery
Find high-engagement Reddit users

📊 Audience Insights
Understand engagement patterns

---

### ⚡ Why Use This Scraper?

👤 Focused on Reddit user profiles

📄 Clean, structured datasets

📊 Rich engagement metrics

⚡ Fast scraping & pagination handling

🔍 Ideal for analytics, OSINT & growth

---

### ⚠️ Disclaimer

• This tool is independent and not affiliated with Reddit

### 📫 Support

😊 Leave us a 5-star rating ⭐⭐⭐⭐⭐ if you’re satisfied with the scraper
🌍 For any questions, specific needs or issues, please reach out through Apify's platform or via email - [Storm_Scraper 🌪️🌩️](https://apify.com/scrapestorm)

# Actor input Schema

## `urls` (type: `array`):

List of subreddit URLs to scrape (e.g. https://www.reddit.com/r/PS4/)
## `maxItemsPerUrl` (type: `integer`):

Maximum number of posts to scrape per subreddit URL

## Actor input object example

```json
{
  "urls": [
    {
      "url": "https://www.reddit.com/r/PS4/"
    },
    {
      "url": "https://www.reddit.com/r/PS3/"
    }
  ],
  "maxItemsPerUrl": 30
}
````

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

// Prepare Actor input
const input = {
    "urls": [
        {
            "url": "https://www.reddit.com/r/PS4/"
        },
        {
            "url": "https://www.reddit.com/r/PS3/"
        }
    ],
    "maxItemsPerUrl": 30
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapestorm/reddit-profile-posts-scraper---cheap").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 = {
    "urls": [
        { "url": "https://www.reddit.com/r/PS4/" },
        { "url": "https://www.reddit.com/r/PS3/" },
    ],
    "maxItemsPerUrl": 30,
}

# Run the Actor and wait for it to finish
run = client.actor("scrapestorm/reddit-profile-posts-scraper---cheap").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 '{
  "urls": [
    {
      "url": "https://www.reddit.com/r/PS4/"
    },
    {
      "url": "https://www.reddit.com/r/PS3/"
    }
  ],
  "maxItemsPerUrl": 30
}' |
apify call scrapestorm/reddit-profile-posts-scraper---cheap --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=scrapestorm/reddit-profile-posts-scraper---cheap",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Reddit Profile Posts Scraper - Cheap 🔎👤📢",
        "description": "🔎 Looking to collect posts from Reddit profiles?\nWith this scraper, you can extract post data including titles, authors, subreddits, engagement metrics (votes & comments), timestamps, and media — all in a clean, ready-to-use format\nPerfect for OSINT, content analysis & audience insights 📊🚀",
        "version": "0.0",
        "x-build-id": "9RRSlofaAK55oSoSv"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/scrapestorm~reddit-profile-posts-scraper---cheap/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-scrapestorm-reddit-profile-posts-scraper---cheap",
                "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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/scrapestorm~reddit-profile-posts-scraper---cheap/runs": {
            "post": {
                "operationId": "runs-sync-scrapestorm-reddit-profile-posts-scraper---cheap",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/scrapestorm~reddit-profile-posts-scraper---cheap/run-sync": {
            "post": {
                "operationId": "run-sync-scrapestorm-reddit-profile-posts-scraper---cheap",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": [
                    "urls",
                    "maxItemsPerUrl"
                ],
                "properties": {
                    "urls": {
                        "title": "Subreddit URLs 🔗",
                        "type": "array",
                        "description": "List of subreddit URLs to scrape (e.g. https://www.reddit.com/r/PS4/)",
                        "default": [
                            {
                                "url": "https://www.reddit.com/r/PS4/"
                            },
                            {
                                "url": "https://www.reddit.com/r/PS3/"
                            }
                        ],
                        "items": {
                            "type": "object",
                            "required": [
                                "url"
                            ],
                            "properties": {
                                "url": {
                                    "type": "string",
                                    "title": "URL of a web page",
                                    "format": "uri"
                                }
                            }
                        }
                    },
                    "maxItemsPerUrl": {
                        "title": "Max posts per URL 💬",
                        "type": "integer",
                        "description": "Maximum number of posts to scrape per subreddit URL",
                        "default": 30
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```