# Reddit Post Scraper — Details by URL or ID (`toolzerhub/reddit-post-scraper`) Actor

Fetch complete Reddit post records by post ID or permalink URL, or batch multiple comma-separated post IDs in one run. Export structured post, author, content, and engagement data.

- **URL**: https://apify.com/toolzerhub/reddit-post-scraper.md
- **Developed by:** [ToolzerHub](https://apify.com/toolzerhub) (community)
- **Categories:** Social media, Automation, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.25 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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/docs.md):

```bash
npm install apify-client
```

In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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

**Fetch one Reddit post by ID, or batch-fetch several at once.**

Reddit Post Scraper is the ToolzerHub detail tool for a post you've already identified elsewhere. Paste a single post ID or permalink for a targeted lookup, or paste a comma-separated ID list to batch multiple posts into one run without repeating the setup.

### Post ID or a batch list is the entire input strategy

Use a known post ID (or permalink URL) for a single lookup, or fill Post IDs with a comma-separated list to switch the run into batch mode automatically.

#### Fetch a single post

Paste a post ID or permalink URL to fetch one full post record.

| Field | Type | Required | Description |
| --- | --- | --- | --- |
| `post_id` | string | No | Reddit post ID (e.g. t3_1uw2gep), or a full post permalink URL. |

#### Batch-fetch multiple posts

Paste a comma-separated list of post IDs into Post IDs to fetch several posts in one run.

| Field | Type | Required | Description |
| --- | --- | --- | --- |
| `post_ids` | string | No | Comma-separated list of Reddit post IDs to batch-fetch instead of a single post_id. Runs use posts/batch for up to 5 IDs and posts/batch-large above that. |

#### Example post lookup

```json
{
  "post_id": "t3_1uw2gep"
}
````

### A detail record built for post analysis

#### 📝 Post identity

| Field | Type | Description |
| --- | --- | --- |
| `id` | string | Reddit fullname or ID of the item (post, comment, or search result). |
| `post_id` | string | Reddit post ID. |
| `subreddit_id` | string | Reddit subreddit ID. |
| `title` | string | Post or subreddit title when available. |
| `author` | string | Username of the post or comment author. |
| `subreddit` | string | Subreddit display name the item belongs to. |

#### 📊 Engagement signals

| Field | Type | Description |
| --- | --- | --- |
| `created_at` | string | Creation timestamp reported by the source payload. |
| `score` | number | Net score (upvotes minus downvotes) when available. |
| `upvotes` | number | Upvote count when reported separately from score. |
| `num_comments` | number | Number of comments on the post when available. |

#### 🔍 Detail payload

| Field | Type | Description |
| --- | --- | --- |
| `post_detail` | object | Full post detail payload, present when Add Post Details is enabled. |

#### Post detail preview

```json
{
  "post_id": "t3_1uw2gep",
  "subreddit_id": "t5_2qh0u",
  "title": "Cats being cats",
  "author": "Turbulent_Nerve3744",
  "subreddit": "pics",
  "score": 1250,
  "num_comments": 42
}
```

### Cost of a targeted lookup

This Actor uses Apify pay-per-result pricing. You are charged for successful dataset results according to the Actor pricing shown on the Apify Pricing tab.

Apify's free credits may cover small test runs and up to the free result allowance configured for the Actor.

Use Max Results to bound a run before scaling to larger subreddits, users, or query lists.

### Responsible post-data use

This Actor extracts publicly available Reddit content. It should not be used to collect private user data. Make sure your use case complies with applicable privacy laws, Reddit's terms, and your own legal obligations. If you are unsure, consult a qualified lawyer.

### Run this Actor from code

#### Python

```python
from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_API_TOKEN")
run = client.actor("toolzerhub/reddit-post-scraper").call(run_input={
    "post_id": "t3_1uw2gep"
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)
```

#### Node.js

```javascript
import { ApifyClient } from "apify-client";

const client = new ApifyClient({ token: "YOUR_APIFY_API_TOKEN" });
const run = await client.actor("toolzerhub/reddit-post-scraper").call({
  "post_id": "t3_1uw2gep"
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);
```

### Browse the subreddit or read the comment thread

- [Reddit Subreddit Posts Scraper — Bulk Export](https://apify.com/toolzerhub/reddit-subreddit-posts-scraper) — Collect posts from any subreddit by Best, Hot, New, Top, or Rising. Paginate automatically, choose a maximum result count, and optionally enrich every item with complete post details.
- [Reddit Post Comments Scraper — Replies & Threads](https://apify.com/toolzerhub/reddit-post-comments-scraper) — Collect a Reddit post's comment tree by sort mode with automatic pagination. Enable the optional add-on to expand collapsed replies and export nested discussion threads.
- [Reddit Search Scraper — Posts, Users & More](https://apify.com/toolzerhub/reddit-search-scraper) — Search Reddit by keyword across posts, users, subreddits, or comments. Choose the result type, paginate automatically, and export structured search results for research and monitoring.

### ToolzerHub support

Use the Issues tab on the Actor page for bug reports, missing fields, and feature requests.

Contact: contact@toolzerhub.com

# Actor input Schema

## `post_id` (type: `string`):

Reddit post ID (e.g. t3\_1uw2gep), or a full post permalink URL.

## `post_ids` (type: `string`):

Comma-separated list of Reddit post IDs to batch-fetch instead of a single post\_id. Runs use posts/batch for up to 5 IDs and posts/batch-large above that.

## Actor input object example

```json
{
  "post_id": "t3_1uw2gep",
  "post_ids": "t3_1uw2gep,t3_1uw2geq"
}
```

# Actor output Schema

## `dataset` (type: `string`):

Dataset containing all scraped data

# 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 = {
    "post_id": "t3_1uw2gep",
    "post_ids": ""
};

// Run the Actor and wait for it to finish
const run = await client.actor("toolzerhub/reddit-post-scraper").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 = {
    "post_id": "t3_1uw2gep",
    "post_ids": "",
}

# Run the Actor and wait for it to finish
run = client.actor("toolzerhub/reddit-post-scraper").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 '{
  "post_id": "t3_1uw2gep",
  "post_ids": ""
}' |
apify call toolzerhub/reddit-post-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Reddit Post Scraper — Details by URL or ID",
        "description": "Fetch complete Reddit post records by post ID or permalink URL, or batch multiple comma-separated post IDs in one run. Export structured post, author, content, and engagement data.",
        "version": "0.1",
        "x-build-id": "S5ZFvB4IFuO4uBz9f"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/toolzerhub~reddit-post-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-toolzerhub-reddit-post-scraper",
                "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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/toolzerhub~reddit-post-scraper/runs": {
            "post": {
                "operationId": "runs-sync-toolzerhub-reddit-post-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/toolzerhub~reddit-post-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-toolzerhub-reddit-post-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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",
                "properties": {
                    "post_id": {
                        "title": "Post ID",
                        "type": "string",
                        "description": "Reddit post ID (e.g. t3_1uw2gep), or a full post permalink URL."
                    },
                    "post_ids": {
                        "title": "Post IDs",
                        "type": "string",
                        "description": "Comma-separated list of Reddit post IDs to batch-fetch instead of a single post_id. Runs use posts/batch for up to 5 IDs and posts/batch-large above that."
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```