# Reddit Profile Posts Scraper - Low-cost💲🔥📄📢 (`delectable_incubator/reddit-profile-posts-scraper-low-cost`) Actor

🔎📄 Extract posts from Reddit user profiles with ease. Collect post titles, authors, subreddits, upvotes, comments, timestamps, media, post URLs, and engagement metrics in a structured format. Ideal for OSINT, audience research, content analysis, trend tracking, and community monitoring 📊🚀

- **URL**: https://apify.com/delectable\_incubator/reddit-profile-posts-scraper-low-cost.md
- **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community)
- **Categories:** Social media, Videos, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.00005 / actor start

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## 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

<p align="center">
<img src="https://i.ibb.co/jkNS73wX/readme.png" alt="Reddit Profile Posts Scraper" width="100%">
</p>

---

## 👤📢 Reddit Profile Posts Scraper | Bulk Reddit User Posts Extractor | Apify Actor

### 🚀 Extract Reddit User Profile Posts in Seconds (No Code)

The **Reddit Profile Posts Scraper** is a powerful, scalable and SEO-optimized Apify Actor that extracts posts directly from Reddit user profiles.

Scrape one or thousands of Reddit profile URLs, collect structured post data, engagement metrics, media information, and export everything for **OSINT, audience research, AI datasets, social listening, content analysis, competitor monitoring, and automation workflows.**

---

## 🔥 Why Choose This Reddit Profile Posts Scraper?

✔ Best Reddit Profile Posts Scraper on Apify

✔ Bulk profile URL scraping (multi-profile mode)

✔ Fast & scalable cloud extraction

✔ Automatic pagination

✔ Structured JSON / CSV / Excel output

✔ Extract media, votes, comments & metadata

✔ Perfect for OSINT, researchers & marketers

✔ No coding required

---

## 🎯 What This Scraper Does

This Apify Actor extracts posts published by Reddit users directly from their public profile pages.

### 📌 Core Features

✅ Scrape Reddit user profile posts

✅ Bulk Reddit profile URL scraping

✅ Automatic pagination

✅ Extract post titles

✅ Extract post URLs

✅ Extract subreddit names

✅ Extract author & author ID

✅ Extract votes & comments

✅ Extract media URLs

✅ Extract thumbnails

✅ Extract post type

✅ Extract domains

✅ Extract timestamps

✅ Extract NSFW & spoiler flags

✅ High-speed extraction engine

✅ Clean structured datasets

---

## ⚡ Input Configuration (Simple & Powerful)

### 🔥 BULK PROFILE URL MODE (SEO BOOST 🚀)

````

{
"urls": \[
"https://www.reddit.com/user/spez/",
"https://www.reddit.com/user/kn0thing/",
"https://www.reddit.com/user/example/"
],
"maxItemsPerUrl": 100
}

```

Supports hundreds or thousands of Reddit profile URLs in a single run.

---

## 📊 Extracted Data

| Field | Description |
|------|-------------|
| id | Reddit post ID |
| title | Post title |
| author | Username |
| author_id | Reddit author ID |
| subreddit | Subreddit |
| post_url | Direct Reddit post URL |
| timestamp | Publication date |
| votes | Upvotes |
| comments | Number of comments |
| thumbnail_url | Preview image |
| nsfw | NSFW status |
| spoiler | Spoiler status |
| post_type | Image / Video / Link / Text |
| domain | Content domain |
| content_url | Original media URL |
| extraction_date | Extraction timestamp |

---

## 💡 Use Cases

This Reddit Profile Posts Scraper is perfect for:

🕵️ OSINT investigations

📊 Reddit user activity analysis

🤖 AI training datasets

📈 Audience research

📢 Social listening

🎯 Influencer discovery

🏢 Competitor monitoring

📚 Academic research

📰 Media monitoring

⚡ Automation workflows

---

## 🚀 Key Features

⚡ Bulk Reddit profile scraping

📌 Automatic pagination

🧠 Clean structured datasets

📊 Engagement metrics

🖼️ Media extraction

👤 User profile analysis

💾 Export-ready data

⚙️ Cloud scalable Apify Actor

---

## 📤 Export Formats

✔ JSON

✔ CSV

✔ Excel XLSX

✔ XML

✔ HTML

---

## 📦 Example Output

```

{
"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"
}

````

---

## 🔥 Why This is the BEST Reddit Profile Posts Scraper on Apify?

✔ Optimized for Apify Marketplace SEO

✔ High-performance Reddit scraping engine

✔ Bulk profile URL support

✔ Automatic pagination

✔ Rich structured datasets

✔ Enterprise-ready cloud execution

✔ Reliable & scalable

✔ Perfect for analytics, AI & automation

---

## 💸 Pricing

This scraper runs on a pay-per-result pricing model.

You only pay for successfully extracted records.

💳 Price: **$2.69 / 1,000 results**

---

## ❓ FAQ

#### Can I scrape multiple Reddit profiles at once?

Yes. Bulk profile URL mode is fully supported.

#### Does it automatically load more posts?

Yes. Pagination is handled automatically.

#### Can I scrape thousands of profiles?

Absolutely.

#### Can I export the data?

Yes.

Supports:

- JSON
- CSV
- Excel
- XML
- HTML

#### Is coding required?

No.

100% No-Code Apify Actor.

---

## ⚠️ Disclaimer

This project is an independent data extraction solution and is **not affiliated with Reddit**.

---

## 🔗 Related PrimeScrape Actors

Discover the growing **PrimeScrape Reddit Intelligence Suite**

👉 Reddit Posts Scraper

👉 Reddit Comments Scraper

👉 Reddit Communities Scraper

👉 Reddit Media Scraper

👉 Reddit Trending Posts Scraper

More coming soon 🚀

---

## 🌍 PrimeScrape Ecosystem

Built for large-scale data extraction, automation and AI.

📊 Social Media Intelligence

👤 Profile Analytics

📈 Market Research

🤖 AI Training Datasets

📢 Social Listening

🕵️ OSINT

⚙️ Automation Pipelines

🚀 Enterprise Data Collection

---

## 📬 Support

⭐⭐⭐⭐⭐ Love this scraper?

Please leave a review on Apify.

📩 Need custom scraping solutions or enterprise integrations?

Contact **PrimeScrape** through the Apify platform.

# 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/PS2/"
    },
    {
      "url": "https://www.reddit.com/r/PS5/"
    }
  ],
  "maxItemsPerUrl": 50
}
````

# 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/PS2/"
        },
        {
            "url": "https://www.reddit.com/r/PS5/"
        }
    ],
    "maxItemsPerUrl": 50
};

// Run the Actor and wait for it to finish
const run = await client.actor("delectable_incubator/reddit-profile-posts-scraper-low-cost").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/PS2/" },
        { "url": "https://www.reddit.com/r/PS5/" },
    ],
    "maxItemsPerUrl": 50,
}

# Run the Actor and wait for it to finish
run = client.actor("delectable_incubator/reddit-profile-posts-scraper-low-cost").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/PS2/"
    },
    {
      "url": "https://www.reddit.com/r/PS5/"
    }
  ],
  "maxItemsPerUrl": 50
}' |
apify call delectable_incubator/reddit-profile-posts-scraper-low-cost --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Reddit Profile Posts Scraper - Low-cost💲🔥📄📢",
        "description": "🔎📄 Extract posts from Reddit user profiles with ease. Collect post titles, authors, subreddits, upvotes, comments, timestamps, media, post URLs, and engagement metrics in a structured format. Ideal for OSINT, audience research, content analysis, trend tracking, and community monitoring 📊🚀",
        "version": "0.0",
        "x-build-id": "4XfHc7q3qrgbcnh6M"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/delectable_incubator~reddit-profile-posts-scraper-low-cost/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-delectable_incubator-reddit-profile-posts-scraper-low-cost",
                "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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/delectable_incubator~reddit-profile-posts-scraper-low-cost/runs": {
            "post": {
                "operationId": "runs-sync-delectable_incubator-reddit-profile-posts-scraper-low-cost",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/delectable_incubator~reddit-profile-posts-scraper-low-cost/run-sync": {
            "post": {
                "operationId": "run-sync-delectable_incubator-reddit-profile-posts-scraper-low-cost",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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/PS2/"
                            },
                            {
                                "url": "https://www.reddit.com/r/PS5/"
                            }
                        ],
                        "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": 50
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```