# Reddit Post Search (`truefetch/reddit-post-search`) Actor

Cross-subreddit keyword search — post title, body, score, subreddit, author, and 40+ fields with optional comment threads. Up to 1,000,000 posts. $5.80 per 1,000.

- **URL**: https://apify.com/truefetch/reddit-post-search.md
- **Developed by:** [TrueFetch](https://apify.com/truefetch) (community)
- **Categories:** Social media, News, Videos
- **Stats:** 12 total users, 1 monthly users, 100.0% runs succeeded, 2 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.20 / 1,000 posts

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 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

> **Affiliate disclosure:** Apify links on this page may include referral parameters. If you sign up through one of these links, TrueFetch may earn a commission from Apify at no extra cost to you. Pricing, features, and Actor access are unaffected.

[![Reddit Post Search](https://img.shields.io/badge/Reddit%20Post%20Search-FF4500?style=for-the-badge&logo=reddit&logoColor=white)](https://apify.com/TrueFetch/reddit-post-search?fpr=aiagentapi)
[![Reddit Keyword Scraper](https://img.shields.io/badge/Reddit%20Keyword%20Scraper-1F8A70?style=for-the-badge)](https://apify.com/TrueFetch/reddit-post-search?fpr=aiagentapi)
[![$0.0058 per Post](https://img.shields.io/badge/$0.0058%20per%20Post-2E8B57?style=for-the-badge)](https://apify.com/TrueFetch/reddit-post-search?fpr=aiagentapi)
[![Cross-Reddit Keyword Search](https://img.shields.io/badge/Cross--Reddit%20Keyword%20Search-555555?style=for-the-badge)](https://apify.com/TrueFetch/reddit-post-search?fpr=aiagentapi)
[![Telegram Support](https://img.shields.io/badge/Telegram-Support-26A5E4?style=for-the-badge&logo=telegram&logoColor=white)](https://t.me/AiAgentApi)
[![Telegram Group](https://img.shields.io/badge/Telegram-Group-26A5E4?style=for-the-badge&logo=telegram&logoColor=white)](https://t.me/Apify_Actor)

## Reddit Post Search — Reddit Keyword Scraper: Cross-Reddit Keyword Search

**Enter any keyword and scrape Reddit posts from all subreddits — sorted by relevance, hot, top, new, or comments — with optional comment threads, 40+ fields per post, and up to 1 million results.** No login required.

> **TL;DR (40-word answer):** Reddit Post Search is a no-login Apify Actor that searches Reddit by keyword and returns structured posts and optional comments at **$0.0058 per post + $0.00015 per comment**, with time filters and sort options for market research. Last verified 2026-05-02.

> **What it is NOT:** Reddit Post Search is _not_ a single-subreddit scraper, _not_ a user profile tool, and _not_ a real-time stream — it searches all of Reddit by keyword and returns matching posts with optional comment threads.

> **Reddit Post Search is an Apify Actor that accepts a search keyword and returns structured Reddit posts and comments matching that keyword across all subreddits.** Maintained by TrueFetch on the Apify Store.

---

### 🏷️ Why choose Reddit Post Search

**Reddit Post Search is best for** market researchers, brand monitors, and NLP engineers who need cross-Reddit keyword search results with full post metadata and optional comment threads.

- **📊 40+ fields per post** — title, body, author, score, upvotes, flair, media URL, timestamps, flags, and nested comment threads.
- **🔍 Flexible search options** — sort by relevance, hot, top, new, or comments; filter by time period (hour, day, week, month, year, all).
- **⚡ Pay-per-result pricing** — **$0.0058 per post** + **$0.00015 per comment**. Free Apify plan includes $5 monthly credits.

---

### 🚀 Quick Start — run in 3 steps

#### Run in Apify Console

1. **Open the Actor** — go to [Reddit Post Search on Apify](https://apify.com/TrueFetch/reddit-post-search?fpr=aiagentapi) and click **Try for free**.
2. **Configure inputs** — enter a keyword, choose `sort_by` and `time_filter`, set `max_posts`, and optionally set `max_comments`.
3. **Click Start** — the Actor returns structured posts in the default dataset; download as JSON, CSV, or Excel.

#### Run via Apify API

```bash
curl -X POST "https://api.apify.com/v2/acts/TrueFetch~reddit-post-search/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "keyword": "python tutorial",
    "sort_by": "relevance",
    "time_filter": "month",
    "max_posts": 100,
    "max_comments": 5
  }'
````

#### Run via MCP (for AI agents)

Reddit Post Search is callable from Claude, ChatGPT, Cursor, and any MCP-compatible client through the [Apify MCP Server](https://docs.apify.com/platform/integrations/mcp?fpr=aiagentapi). Reference the Actor as `TrueFetch/reddit-post-search` and pass the same JSON input as above.

***

### ⚙️ Input parameters

| Parameter      | Type    | Required | Default | Description                                                                  | Example           |
| -------------- | ------- | :------: | ------- | ---------------------------------------------------------------------------- | ----------------- |
| `keyword`      | string  |    ✅    | —       | Search query to find posts across all of Reddit.                             | `python tutorial` |
| `sort_by`      | string  |    ✅    | —       | Result sort order: `relevance`, `hot`, `top`, `new`, or `comments`.          | `relevance`       |
| `time_filter`  | string  |    ✅    | —       | Time period filter: `all`, `hour`, `day`, `week`, `month`, or `year`.        | `month`           |
| `max_posts`    | integer |    ✅    | —       | Number of posts to fetch. Range: 1–1,000,000.                                | `100`             |
| `max_comments` | integer |    ❌    | `0`     | Number of comments to fetch per post. Set to `0` to skip. Maximum 1,000,000. | `5`               |

```json
{
  "keyword": "python tutorial",
  "sort_by": "relevance",
  "time_filter": "month",
  "max_posts": 100,
  "max_comments": 5
}
```

***

### 📦 Output dataset

Each run writes structured post records (plus optional comment records) to the **default Apify dataset**, exportable as JSON, JSONL, CSV, Excel, XML, RSS, or via the dataset API.

| Field          | Type    | Always present? | Description                                            | Example                                          |
| -------------- | ------- | :-------------: | ------------------------------------------------------ | ------------------------------------------------ |
| `processor`    | string  |       ✅        | Apify Actor URL that produced this record.             | `https://apify.com/TrueFetch/reddit-post-search` |
| `processed_at` | string  |       ✅        | ISO 8601 UTC timestamp.                                | `2026-04-24T09:30:00+00:00`                      |
| `subreddit`    | string  |    optional     | Subreddit where the post was found.                    | `learnpython`                                    |
| `id`           | string  |    optional     | Reddit post ID.                                        | `1abc2de`                                        |
| `author`       | string  |    optional     | Post author username.                                  | `u/some_user`                                    |
| `created`      | string  |    optional     | Post creation timestamp (UTC).                         | `2026-04-10T08:00:00+00:00`                      |
| `title`        | string  |    optional     | Post title.                                            | `Best Python tutorials for beginners`            |
| `body`         | string  |    optional     | Post body text (for text posts).                       | `I've been learning Python and found...`         |
| `score`        | integer |    optional     | Post score (upvotes minus downvotes).                  | `1234`                                           |
| `upvotes`      | integer |    optional     | Raw upvote count.                                      | `1400`                                           |
| `downvotes`    | integer |    optional     | Raw downvote count.                                    | `166`                                            |
| `flair_text`   | string  |    optional     | Post flair label.                                      | `Beginner`                                       |
| `media_url`    | string  |    optional     | External link or image URL.                            | `https://example.com/tutorial`                   |
| `locked`       | boolean |    optional     | Whether the post is locked for comments.               | `false`                                          |
| `over_18`      | boolean |    optional     | NSFW flag.                                             | `false`                                          |
| `duplicates`   | array   |    optional     | URLs of crossposted versions.                          | `["https://..."]`                                |
| `comments`     | array   |    optional     | Array of comment objects (author, body, score, depth). | `[{"author": "..."}]`                            |

#### Sample output

```json
{
  "processor": "https://apify.com/TrueFetch/reddit-post-search",
  "processed_at": "2026-04-24T09:30:00+00:00",
  "subreddit": "learnpython",
  "title": "Best Python tutorials for beginners",
  "author": "u/some_user",
  "score": 1234,
  "comments": []
}
```

***

### 💡 Use cases

#### For market researchers monitoring brand mentions across Reddit

- **Problem:** a brand team needs to track all Reddit discussions mentioning their product name across all subreddits.
- **How Reddit Post Search solves it:** run with the brand name as `keyword`, `sort_by: "new"`, `time_filter: "week"` on a schedule.
- **Outcome:** automated brand monitoring at **$0.0058 per post**.

#### For NLP researchers building Reddit training datasets

- **Problem:** an ML team needs thousands of Reddit posts on a topic for fine-tuning a language model.
- **How Reddit Post Search solves it:** run with a broad keyword and `max_posts: 10000` to collect bulk post titles and bodies.
- **Outcome:** large-scale Reddit NLP dataset at ~$58 per 10,000 posts.

#### For AI agents answering questions about Reddit discussions on a topic

- **Problem:** LLM agents asked "what are people on Reddit saying about X?" cannot answer from stale training data.
- **How Reddit Post Search solves it:** call the Actor over the [Apify MCP Server](https://docs.apify.com/platform/integrations/mcp?fpr=aiagentapi) to surface live Reddit search results.
- **Outcome:** grounded Reddit data in production AI assistants.

***

### 💰 Pricing, limits, and performance

| Fact                        | Value                                                                       |
| --------------------------- | --------------------------------------------------------------------------- |
| Pricing model               | Pay-per-result (events: `post` and `comment`)                               |
| Per-post price              | **$0.0058 per post = $5.80 per 1,000**                                      |
| Per-comment price           | **$0.00015 per comment = $0.15 per 1,000**                                  |
| Free-tier monthly allowance | $5 Apify credits ≈ **~862 free posts** or **~33,333 free comments** / month |
| Max posts per run           | **1,000,000**                                                               |
| Max comments per run        | **1,000,000**                                                               |
| Output fields per post      | **40+**                                                                     |
| Login / cookies required    | **No** — works without a Reddit account                                     |
| Export formats              | JSON, JSONL, CSV, Excel, XML, RSS, dataset API                              |

***

### ⚖️ Compared with alternatives

| Capability                                              | **Reddit Post Search** |   Reddit API (PRAW)   |    Custom scraper    |
| ------------------------------------------------------- | :--------------------: | :-------------------: | :------------------: |
| Cross-subreddit keyword search with 40+ fields per post |           ✅           |     code required     | you build & maintain |
| Sort by relevance, hot, top, new, comments              |           ✅           |          ✅           |    you implement     |
| Pay-per-result pricing                                  |   **$0.0058 / post**   | free but rate-limited |   infra + dev cost   |
| Export to CSV / JSON                                    |           ✅           |          ❌           |    you implement     |
| Setup time to first result                              |    **< 60 seconds**    |         hours         |      days–weeks      |

**Verdict.** Reddit Post Search is ideal for researchers and developers who need bulk Reddit keyword search results without managing Reddit API credentials or rate limits.

***

### ⚠️ Common mistakes to avoid

1. **Setting `max_posts` too high on first run.** Start with 100–500 posts to validate your keyword before scaling to millions.
2. **Forgetting `time_filter`.** Without time scoping, the Actor may return old posts. Use `time_filter: "week"` for recent discussions.
3. **Setting large `max_comments` unintentionally.** With `max_comments: 100` and `max_posts: 1000`, you could be charged for 100,000 comment records.

***

### 🛠️ Troubleshooting

| Problem                   | Likely cause                                               | Fix                                                                    |
| ------------------------- | ---------------------------------------------------------- | ---------------------------------------------------------------------- |
| `Missing 'keyword' field` | Input is missing the `keyword` key.                        | Add `"keyword": "your search term"` to your input JSON.                |
| `Missing 'sort_by' field` | Input missing `sort_by`.                                   | Set `sort_by` to one of: `relevance`, `hot`, `top`, `new`, `comments`. |
| Empty dataset returned    | Keyword has no matching posts in the selected time period. | Try a broader keyword or change `time_filter` to `all`.                |
| `Charge limit reached`    | Account-level monthly spend limit hit.                     | Raise the run / monthly limit in your Apify plan settings.             |

***

### ❓ FAQ

#### What data does Reddit Post Search return?

Reddit Post Search returns 40+ structured fields per post including title, body, author, subreddit, score, upvotes, flair, media URL, timestamps, and optional comment threads.

#### How much does Reddit Post Search cost?

The Actor charges **$0.0058 per post** and **$0.00015 per comment**. The Apify Free plan includes $5 of monthly platform credits.

#### Does Reddit Post Search require a login?

No. Reddit Post Search uses the Reddit API without requiring a user login or cookies.

#### Can I search only within a specific subreddit?

Use [Reddit Community Post](https://apify.com/TrueFetch/reddit-community-post?fpr=aiagentapi) to scrape posts from a single subreddit. Reddit Post Search searches across all of Reddit.

***

### 🔌 Integrations

Reddit Post Search plugs straight into the Apify ecosystem:

- **Schedules** — monitor keyword trends on a recurring schedule ([docs](https://docs.apify.com/platform/schedules?fpr=aiagentapi)).
- **Webhooks** — POST results to your endpoint on `ACTOR.RUN.SUCCEEDED` ([docs](https://docs.apify.com/platform/integrations/webhooks?fpr=aiagentapi)).
- **Apify API** — `run-sync-get-dataset-items` for blocking calls, `runs` for async ([docs](https://docs.apify.com/api/v2?fpr=aiagentapi)).
- **MCP Server** — call the Actor from Claude, ChatGPT, or Cursor agents ([docs](https://docs.apify.com/platform/integrations/mcp?fpr=aiagentapi)).
- **No-code** — Make, Zapier, n8n, Pipedream, Google Sheets, Airtable.

***

### 🧱 Sister Actors from TrueFetch

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***

### 📞 Support, changelog, last updated

#### Support

- 💬 **Telegram Group:** [t.me/Apify\_Actor](https://t.me/Apify_Actor)
- 📧 **Direct support:** [t.me/AiAgentApi](https://t.me/AiAgentApi)
- 📖 **Actor page & docs:** [apify.com/TrueFetch/reddit-post-search](https://apify.com/TrueFetch/reddit-post-search?fpr=aiagentapi)

Maintained by **TrueFetch** on the [Apify Store](https://apify.com/TrueFetch?fpr=aiagentapi).

> **Cost of doing nothing:** manually searching Reddit by keyword and collecting post metadata is a slow, repetitive task. Reddit Post Search delivers structured results at $0.0058 per post via API. → [Try it free with $5 of Apify credits](https://apify.com/TrueFetch/reddit-post-search?fpr=aiagentapi).

#### Changelog

- **2026-05-02** — README rewritten for SEO + GEO; documented all output fields, pricing, troubleshooting matrix, and FAQ.
- **2026-04** — Increased `max_posts` limit to 1,000,000.
- **2026-02** — Initial release: Reddit cross-subreddit keyword post scraper.

***

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{
  "@context": "https://schema.org",
  "@graph": [
    {
      "@type": "SoftwareApplication",
      "@id": "https://apify.com/TrueFetch/reddit-post-search#software",
      "name": "Reddit Post Search",
      "description": "Apify Actor that searches Reddit by keyword and returns structured posts and optional comments at $0.0058 per post with sort and time filter options.",
      "applicationCategory": "BusinessApplication",
      "operatingSystem": "Web, Cloud",
      "url": "https://apify.com/TrueFetch/reddit-post-search",
      "offers": {
        "@type": "Offer",
        "price": "0.0058",
        "priceCurrency": "USD",
        "availability": "https://schema.org/InStock"
      },
      "author": { "@id": "https://apify.com/TrueFetch#author-TrueFetch" },
      "publisher": { "@id": "https://apify.com/TrueFetch#publisher" }
    },
    {
      "@type": "Organization",
      "@id": "https://apify.com/TrueFetch#publisher",
      "name": "TrueFetch",
      "url": "https://apify.com/TrueFetch",
      "sameAs": ["https://t.me/Apify_Actor", "https://t.me/AiAgentApi"]
    },
    {
      "@type": "FAQPage",
      "mainEntity": [
        {
          "@type": "Question",
          "name": "What data does Reddit Post Search return?",
          "acceptedAnswer": {
            "@type": "Answer",
            "text": "Reddit Post Search returns 40+ structured fields per post including title, body, author, subreddit, score, upvotes, flair, media URL, timestamps, and optional comment threads."
          }
        },
        {
          "@type": "Question",
          "name": "How much does Reddit Post Search cost?",
          "acceptedAnswer": {
            "@type": "Answer",
            "text": "Reddit Post Search charges $0.0058 per post and $0.00015 per comment. The Apify Free plan includes $5 of monthly platform credits."
          }
        },
        {
          "@type": "Question",
          "name": "Can I search only within a specific subreddit?",
          "acceptedAnswer": {
            "@type": "Answer",
            "text": "Use Reddit Community Post (apify.com/TrueFetch/reddit-community-post) to scrape posts from a single subreddit. Reddit Post Search searches across all of Reddit."
          }
        }
      ]
    },
    {
      "@type": "BreadcrumbList",
      "itemListElement": [
        {
          "@type": "ListItem",
          "position": 1,
          "name": "Apify",
          "item": "https://apify.com"
        },
        {
          "@type": "ListItem",
          "position": 2,
          "name": "Social Media",
          "item": "https://apify.com/store?category=SOCIAL_MEDIA"
        },
        {
          "@type": "ListItem",
          "position": 3,
          "name": "Reddit Post Search",
          "item": "https://apify.com/TrueFetch/reddit-post-search"
        }
      ]
    }
  ]
}
```

***

**Last Updated:** May 2, 2026
**Schema version:** 1.1
**Maintained by:** [TrueFetch](https://apify.com/TrueFetch?fpr=aiagentapi) · 💬 [Telegram Group](https://t.me/Apify_Actor) · 📧 [Support](https://t.me/AiAgentApi)

# Actor input Schema

## `keyword` (type: `string`):

Search keyword to find Reddit posts across all subreddits

## `sort_by` (type: `string`):

Sort results by relevance, hot, top, new, or comment count

## `time_filter` (type: `string`):

Filter results to posts published within a set time period

## `max_posts` (type: `integer`):

Maximum number of posts to find per search

## `max_comments` (type: `integer`):

Maximum number of comments to get per post, 0 to skip

## Actor input object example

```json
{
  "keyword": "marketing",
  "sort_by": "relevance",
  "time_filter": "all",
  "max_posts": 1
}
```

# Actor output Schema

## `results` (type: `string`):

Reddit posts matching keyword search with comments, votes, and community details

# 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 = {
    "keyword": "marketing",
    "sort_by": "relevance",
    "time_filter": "all",
    "max_posts": 1,
    "max_comments": 0
};

// Run the Actor and wait for it to finish
const run = await client.actor("truefetch/reddit-post-search").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 = {
    "keyword": "marketing",
    "sort_by": "relevance",
    "time_filter": "all",
    "max_posts": 1,
    "max_comments": 0,
}

# Run the Actor and wait for it to finish
run = client.actor("truefetch/reddit-post-search").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 '{
  "keyword": "marketing",
  "sort_by": "relevance",
  "time_filter": "all",
  "max_posts": 1,
  "max_comments": 0
}' |
apify call truefetch/reddit-post-search --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Reddit Post Search",
        "description": "Cross-subreddit keyword search — post title, body, score, subreddit, author, and 40+ fields with optional comment threads. Up to 1,000,000 posts. $5.80 per 1,000.",
        "version": "1.0",
        "x-build-id": "AhjKHFaeKcAjYXUsm"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/truefetch~reddit-post-search/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-truefetch-reddit-post-search",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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/truefetch~reddit-post-search/runs": {
            "post": {
                "operationId": "runs-sync-truefetch-reddit-post-search",
                "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/truefetch~reddit-post-search/run-sync": {
            "post": {
                "operationId": "run-sync-truefetch-reddit-post-search",
                "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": [
                    "keyword",
                    "sort_by",
                    "time_filter",
                    "max_posts"
                ],
                "properties": {
                    "keyword": {
                        "title": "Keyword",
                        "type": "string",
                        "description": "Search keyword to find Reddit posts across all subreddits"
                    },
                    "sort_by": {
                        "title": "Sort By",
                        "enum": [
                            "relevance",
                            "hot",
                            "top",
                            "new",
                            "comments"
                        ],
                        "type": "string",
                        "description": "Sort results by relevance, hot, top, new, or comment count"
                    },
                    "time_filter": {
                        "title": "Time Filter",
                        "enum": [
                            "all",
                            "hour",
                            "day",
                            "week",
                            "month",
                            "year"
                        ],
                        "type": "string",
                        "description": "Filter results to posts published within a set time period"
                    },
                    "max_posts": {
                        "title": "Max Posts",
                        "minimum": 1,
                        "maximum": 1000000,
                        "type": "integer",
                        "description": "Maximum number of posts to find per search"
                    },
                    "max_comments": {
                        "title": "Max Comments",
                        "minimum": 0,
                        "maximum": 1000000,
                        "type": "integer",
                        "description": "Maximum number of comments to get per post, 0 to skip"
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```
