# Reddit Mention Monitor — Track Brand & Keyword Mentions (`blackfalcondata/reddit-mention-monitor`) Actor

Monitor Reddit for mentions of your brand, product or any keyword. Searches subreddits and keyword queries, then returns only posts and comments that literally mention your terms — with full thread context, author, score and timestamp. No login or developer token needed.

- **URL**: https://apify.com/blackfalcondata/reddit-mention-monitor.md
- **Developed by:** [Black Falcon Data](https://apify.com/blackfalcondata) (community)
- **Categories:** Social media, Automation
- **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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

### What does Reddit Mention Monitor do?

Reddit Mention Monitor tracks brand, product, and keyword mentions across Reddit. Point it at search terms or subreddits and it returns only the posts and comments that literally contain your tracked terms — with full thread context, author, score, and timestamp. Bodies come as AI-ready text, HTML, and Markdown. No Reddit account or developer token needed.

**New to Apify?** [Sign up free](https://console.apify.com/sign-up?fpr=1h3gvi) and use the included $5 monthly platform credit to test this actor.

### Key features

<!-- KEY_FEATURES:START -->
- **🎯 Literal mention matching** — Reddit search is fuzzy. The monitor keeps only posts and comments whose title or body literally contains one of your tracked terms, so every result is a real mention, not loosely-related noise.
- **💬 Posts and comment threads** — mentions hide in replies, so the monitor scans nested comment threads as well as posts. Each hit carries its full thread context, author, score, and timestamp.
- **🔁 Built for scheduled monitoring** — run on an Apify schedule with `sort: new` to catch fresh mentions as they appear. Pair with Apify integrations to push new mentions into Slack, email, or your own webhook.
- **🧵 Thread context preserved** — comment records carry `postId`, `parentId`, and `depth` so you can reconstruct the conversation around a mention.
- **🤖 AI-ready output** — every post and comment body is emitted as clean text, HTML, and Markdown for direct use in LLMs, RAG pipelines, and MCP tools.
- **🧹 Lean, filtered output** — only matched records are saved; enable `excludeEmptyFields` to slim the payload further.
- **🔑 No login or API key required** — monitor any public subreddit, search term, or keyword without a Reddit account or app registration.
<!-- KEY_FEATURES:END -->

### What data can you extract from reddit.com?

Records are filtered to literal mentions of your Search Terms and Match Keywords across both posts and their comment threads.

- **Posts** — `title`, body as text / HTML / Markdown, `score`, `upvoteRatio`, `numComments`, `author`, `community`, `createdAt`, and the canonical post `url`.
- **Comments** — threaded, with `postId`, `parentId`, and `depth` so you can rebuild the discussion tree, plus `score`, `author`, and `createdAt`.

With no Match Keywords set, all search results and their threads are returned. With keywords set, only records whose title or body contains at least one of your terms are saved — cutting noise from fuzzy Reddit search results.

Every record carries an `itemType` (`post` or `comment`) so you can split them cleanly downstream.


### Input

Configure the actor through the input schema in Apify Console.

Key parameters:

- **`startUrls`** — Reddit URLs to scrape — subreddits, post pages, user profiles, community pages, or search result pages. Each URL determines what type of content is fetched.
- **`searchTerms`** — Search Reddit for these terms. Each entry becomes an independent search. Search posts are lightweight discovery records (plus their comments) — see Search Type.
- **`searchType`** — Type of results to return when using Search Terms. Post results are lightweight discovery records — id, url, title, subreddit and NSFW flag — plus their comment threads; scrape a result's URL directly for its full post fields (author, body, score, timestamp). (default: `"posts"`)
- **`keywords`** — Exact terms to track. A post or comment is kept only if its title or body literally contains one of these terms (or one of your Search Terms). Leave empty to keep all search results.
- **`sort`** — Sort order for posts and search results. (default: `"hot"`)
- **`time`** — Restrict subreddit-feed results to a time window (applies to Top sort on feeds; search is not time-windowed). (default: `"all"`)
- **`includeNSFW`** — Include posts and communities marked as NSFW (18+). (default: `false`)
- **`postDateLimit`** — Skip posts older than this ISO-8601 date (e.g. "2024-01-01"). Applies to subreddit feeds and post URLs; search results carry no date and are not filtered. Leave blank for no date limit.
- **`maxItems`** — Maximum total records to save across all sources (posts, comments, users, communities). (default: `100`)
- **`maxComments`** — Maximum number of comments to collect from each post page. (default: `200`)
- **`includeCollapsed`** — Expand and include comments that are initially collapsed (controversial or low-score). Enables deeper thread coverage, up to the comment and depth limits you set. (default: `true`)
- **`commentDepth`** — Maximum reply nesting depth to collect (1 = top-level only). (default: `10`)
- ...and 5 more parameters

### Input examples

**Track a brand across Reddit** — Search Reddit for mentions of one or more brand or product names, sorted by newest first.

→ Posts and comments that literally mention Notion or Obsidian, newest first.

```json
{
  "searchTerms": [
    "Notion",
    "Obsidian"
  ],
  "sort": "new",
  "maxItems": 100
}
````

**Monitor mentions inside a subreddit** — Scrape a specific subreddit and filter results to posts and comments that mention your keyword.

→ Posts and comments from r/SaaS that contain 'mybrand'.

```json
{
  "startUrls": [
    {
      "url": "https://www.reddit.com/r/SaaS/"
    }
  ],
  "keywords": [
    "mybrand"
  ],
  "sort": "new",
  "maxItems": 100
}
```

**Competitor mention tracking** — Find all Reddit mentions of a competitor name, including comment threads.

→ Posts and comments that mention the competitor, with thread context.

```json
{
  "searchTerms": [
    "competitor name"
  ],
  "sort": "new",
  "maxItems": 200,
  "maxComments": 50
}
```

**Brand + keyword combo** — Search for a brand name and also require an exact keyword match to narrow to high-signal mentions.

→ Only posts/comments that match both the search term and the keyword filter.

```json
{
  "searchTerms": [
    "Acme Corp"
  ],
  "keywords": [
    "pricing",
    "review",
    "alternative"
  ],
  "sort": "new",
  "maxItems": 150,
  "maxComments": 30
}
```

### Output

Each run produces a dataset of structured Reddit records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

### Example Reddit record

```json
{
  "itemType": "post",
  "id": "t3_1ttjtwv",
  "url": "https://www.reddit.com/r/programming/comments/1ttjtwv/your_process_memory_is_a_file_the/",
  "title": "Your process' memory is a file: The underappreciated gem that is /proc/<pid>/mem",
  "body": null,
  "bodyHtml": null,
  "contentHref": "https://lcamtuf.substack.com/p/weekend-trivia-your-process-memory",
  "postType": "link",
  "language": "en",
  "score": 129,
  "upvoteRatio": 0.9708029197080292,
  "numComments": 1,
  "awardCount": 0,
  "author": "mttd",
  "authorId": "t2_6gkbb",
  "community": "r/programming",
  "communityId": "t5_2fwo",
  "createdAt": "2026-06-01T08:32:12.581+02:00",
  "icon": "https://www.redditstatic.com/avatars/defaults/v2/avatar_default_7.png",
  "nsfw": false
}
```

### Example mention record (post)

```json
{
  "itemType": "post",
  "id": "t3_1abc123",
  "url": "https://www.reddit.com/r/SaaS/comments/1abc123/notion_vs_obsidian_which_is_better_for_a_solo/",
  "title": "Notion vs Obsidian — which is better for a solo founder?",
  "body": "I've been using Notion for my startup notes but finding it slow. A few folks recommended Obsidian. Anyone switched? How does it handle linked databases?",
  "bodyHtml": "<p>I've been using <strong>Notion</strong> for my startup notes but finding it slow. A few folks recommended <strong>Obsidian</strong>. Anyone switched? How does it handle linked databases?</p>",
  "bodyMarkdown": "I've been using **Notion** for my startup notes but finding it slow. A few folks recommended **Obsidian**. Anyone switched? How does it handle linked databases?",
  "score": 142,
  "upvoteRatio": 0.94,
  "numComments": 38,
  "author": "foundr_ops",
  "community": "SaaS",
  "createdAt": "2026-06-10T09:14:22.000Z",
  "matchedKeywords": [
    "Notion",
    "Obsidian"
  ]
}
```

### How to scrape reddit.com

1. Go to [Reddit Mention Monitor](https://apify.com/blackfalcondata/reddit-mention-monitor?fpr=1h3gvi) in Apify Console.
2. Configure the input.
3. Set `maxItems` to control how many results you need.
4. Click **Start** and wait for the run to finish.
5. Export the dataset as JSON, CSV, or Excel.

### Use cases

- Brand and reputation monitoring — catch every Reddit thread that mentions your company or product, with full context for triage.
- Competitor tracking — monitor mentions of competitor names to spot dissatisfied customers, pricing complaints, and switching signals.
- Product feedback discovery — find organic user feedback and feature requests buried in subreddit comment threads.
- PR and crisis alerting — run on a schedule with `sort: new` to surface emerging negative sentiment before it amplifies.
- Community engagement — identify threads where users are asking about your product so your team can respond in context.
- Lead signals — catch buying-intent mentions ('looking for an alternative to X', 'what tools do you use for Y') that indicate warm prospects.

### How much does it cost to scrape reddit.com?

Reddit Mention Monitor uses [pay-per-event](https://docs.apify.com/platform/actors/paid-actors/pay-per-event) pricing. You pay a small fee when the run starts and then for each result that is actually produced.

- **Run start:** $0.008 per run
- **Per result:** $0.002 per Reddit record

Example costs:

- 10 results: **$0.028**
- 25 results: **$0.058**
- 100 results: **$0.21**
- 200 results: **$0.41**
- 500 results: **$1.01**

### FAQ

#### How many results can I get from reddit.com?

The number of results depends on the search query and available listings on reddit.com. Use the `maxItems` parameter to control how many results are returned per run.

#### Can I integrate Reddit Mention Monitor with other apps?

Yes. Reddit Mention Monitor works with Apify's [integrations](https://apify.com/integrations?fpr=1h3gvi) to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

#### Can I use Reddit Mention Monitor with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the [Apify API](https://docs.apify.com/api/v2). Client libraries are available for JavaScript, Python, and other languages.

#### Can I use Reddit Mention Monitor through an MCP Server?

Yes. Apify provides an [MCP Server](https://apify.com/apify/actors-mcp-server?fpr=1h3gvi) that lets AI assistants and agents call this actor directly. Use a single `descriptionFormat` and `excludeEmptyFields` to keep payloads manageable for LLM context windows.

#### Is it legal to scrape reddit.com?

This actor extracts publicly available data from reddit.com. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.

#### Your feedback

If you have questions, need a feature, or found a bug, please [open an issue](https://apify.com/blackfalcondata/reddit-mention-monitor/issues?fpr=1h3gvi) on the actor's page in Apify Console. Your feedback helps us improve.

### You might also like

- [Reddit Email Scraper — Extract Emails from Posts & Comments](https://apify.com/blackfalcondata/reddit-email-scraper?fpr=1h3gvi) — Extract email addresses and contact details from Reddit posts, comments and user profiles. Search.
- [Reddit Lead Scraper — Emails, Socials & Contact Info](https://apify.com/blackfalcondata/reddit-lead-scraper?fpr=1h3gvi) — Turn Reddit into a B2B lead list. Keep only records that expose a contact signal — email, social.
- [Reddit RAG Dataset — LLM Training Data from Posts & Comments](https://apify.com/blackfalcondata/reddit-rag-dataset?fpr=1h3gvi) — Build clean LLM and RAG datasets from Reddit. Export posts with full comment threads as.
- [Reddit Scraper 💰 $1.25/1K — Posts & Full Comment Threads](https://apify.com/blackfalcondata/reddit-scraper?fpr=1h3gvi) — Scrape Reddit posts with their full nested comment threads, user profiles, and community pages..
- [Reddit Sentiment Scraper — Analyze Posts & Comments](https://apify.com/blackfalcondata/reddit-sentiment-scraper?fpr=1h3gvi) — Scrape Reddit and score every post and comment for sentiment — positive, negative or neutral with a.
- [YouTube Scraper $2/1K — Videos, Channels, Comments, Transcripts](https://apify.com/blackfalcondata/youtube-data-scraper?fpr=1h3gvi) — Scrape YouTube videos, channels, comments, and transcripts in one tool — by keyword or by video,.

### Getting started with Apify

New to Apify? [Create a free account with $5 credit](https://console.apify.com/sign-up?fpr=1h3gvi) — no credit card required.

1. Sign up — $5 platform credit included
2. Open this actor and configure your input
3. Click **Start** — export results as JSON, CSV, or Excel

Need more later? [See Apify pricing](https://apify.com/pricing?fpr=1h3gvi).

# Actor input Schema

## `startUrls` (type: `array`):

Reddit URLs to scrape — subreddits, post pages, user profiles, community pages, or search result pages. Each URL determines what type of content is fetched.

## `searchTerms` (type: `array`):

Search Reddit for these terms. Each entry becomes an independent search. Search posts are lightweight discovery records (plus their comments) — see Search Type.

## `searchType` (type: `string`):

Type of results to return when using Search Terms. Post results are lightweight discovery records — id, url, title, subreddit and NSFW flag — plus their comment threads; scrape a result's URL directly for its full post fields (author, body, score, timestamp).

## `keywords` (type: `array`):

Exact terms to track. A post or comment is kept only if its title or body literally contains one of these terms (or one of your Search Terms). Leave empty to keep all search results.

## `sort` (type: `string`):

Sort order for posts and search results.

## `time` (type: `string`):

Restrict subreddit-feed results to a time window (applies to Top sort on feeds; search is not time-windowed).

## `includeNSFW` (type: `boolean`):

Include posts and communities marked as NSFW (18+).

## `postDateLimit` (type: `string`):

Skip posts older than this ISO-8601 date (e.g. "2024-01-01"). Applies to subreddit feeds and post URLs; search results carry no date and are not filtered. Leave blank for no date limit.

## `maxItems` (type: `integer`):

Maximum total records to save across all sources (posts, comments, users, communities).

## `maxComments` (type: `integer`):

Maximum number of comments to collect from each post page.

## `includeCollapsed` (type: `boolean`):

Expand and include comments that are initially collapsed (controversial or low-score). Enables deeper thread coverage, up to the comment and depth limits you set.

## `commentDepth` (type: `integer`):

Maximum reply nesting depth to collect (1 = top-level only).

## `skipComments` (type: `boolean`):

Do not collect comments from post pages — output posts only.

## `descriptionFormat` (type: `string`):

Controls which body/description fields are included in output. "all" emits text + HTML + markdown variants.

## `excludeEmptyFields` (type: `boolean`):

Strip null and empty fields from output records to reduce payload size.

## `includeRunMetadata` (type: `boolean`):

Append a single run-summary record at the end of the dataset (run ID, timing, item counts). It is marked itemType="runMetadata" and is added in addition to your matching records — filter on itemType to exclude it.

## `appConnector` (type: `string`):

Optional. Pick a connected app under Settings → API & Integrations to receive your scraped Reddit results. Notion is supported today (a run-summary page); other MCP connectors are best-effort as Apify expands its catalog.

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://www.reddit.com/r/programming/"
    }
  ],
  "searchTerms": [],
  "searchType": "posts",
  "keywords": [],
  "sort": "hot",
  "time": "all",
  "includeNSFW": false,
  "maxItems": 5,
  "maxComments": 200,
  "includeCollapsed": true,
  "commentDepth": 10,
  "skipComments": false,
  "descriptionFormat": "all",
  "excludeEmptyFields": false,
  "includeRunMetadata": false
}
```

# 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 = {
    "startUrls": [
        {
            "url": "https://www.reddit.com/r/programming/"
        }
    ],
    "searchTerms": [],
    "keywords": [],
    "maxItems": 5,
    "includeCollapsed": false,
    "descriptionFormat": "all",
    "excludeEmptyFields": false
};

// Run the Actor and wait for it to finish
const run = await client.actor("blackfalcondata/reddit-mention-monitor").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 = {
    "startUrls": [{ "url": "https://www.reddit.com/r/programming/" }],
    "searchTerms": [],
    "keywords": [],
    "maxItems": 5,
    "includeCollapsed": False,
    "descriptionFormat": "all",
    "excludeEmptyFields": False,
}

# Run the Actor and wait for it to finish
run = client.actor("blackfalcondata/reddit-mention-monitor").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 '{
  "startUrls": [
    {
      "url": "https://www.reddit.com/r/programming/"
    }
  ],
  "searchTerms": [],
  "keywords": [],
  "maxItems": 5,
  "includeCollapsed": false,
  "descriptionFormat": "all",
  "excludeEmptyFields": false
}' |
apify call blackfalcondata/reddit-mention-monitor --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Reddit Mention Monitor — Track Brand & Keyword Mentions",
        "description": "Monitor Reddit for mentions of your brand, product or any keyword. Searches subreddits and keyword queries, then returns only posts and comments that literally mention your terms — with full thread context, author, score and timestamp. No login or developer token needed.",
        "version": "0.1",
        "x-build-id": "aoHsB4SNbErejVZML"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/blackfalcondata~reddit-mention-monitor/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-blackfalcondata-reddit-mention-monitor",
                "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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/blackfalcondata~reddit-mention-monitor/runs": {
            "post": {
                "operationId": "runs-sync-blackfalcondata-reddit-mention-monitor",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/blackfalcondata~reddit-mention-monitor/run-sync": {
            "post": {
                "operationId": "run-sync-blackfalcondata-reddit-mention-monitor",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                    "startUrls": {
                        "title": "🔗 Start URLs",
                        "type": "array",
                        "description": "Reddit URLs to scrape — subreddits, post pages, user profiles, community pages, or search result pages. Each URL determines what type of content is fetched.",
                        "items": {
                            "type": "object",
                            "required": [
                                "url"
                            ],
                            "properties": {
                                "url": {
                                    "type": "string",
                                    "title": "URL of a web page",
                                    "format": "uri"
                                }
                            }
                        }
                    },
                    "searchTerms": {
                        "title": "🔎 Search Terms",
                        "type": "array",
                        "description": "Search Reddit for these terms. Each entry becomes an independent search. Search posts are lightweight discovery records (plus their comments) — see Search Type.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "searchType": {
                        "title": "🔎 Search Type",
                        "enum": [
                            "posts"
                        ],
                        "type": "string",
                        "description": "Type of results to return when using Search Terms. Post results are lightweight discovery records — id, url, title, subreddit and NSFW flag — plus their comment threads; scrape a result's URL directly for its full post fields (author, body, score, timestamp).",
                        "default": "posts"
                    },
                    "keywords": {
                        "title": "🎯 Match Keywords",
                        "type": "array",
                        "description": "Exact terms to track. A post or comment is kept only if its title or body literally contains one of these terms (or one of your Search Terms). Leave empty to keep all search results.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "sort": {
                        "title": "📊 Sort",
                        "enum": [
                            "relevance",
                            "hot",
                            "top",
                            "new",
                            "comments"
                        ],
                        "type": "string",
                        "description": "Sort order for posts and search results.",
                        "default": "hot"
                    },
                    "time": {
                        "title": "🕒 Time Filter",
                        "enum": [
                            "hour",
                            "day",
                            "week",
                            "month",
                            "year",
                            "all"
                        ],
                        "type": "string",
                        "description": "Restrict subreddit-feed results to a time window (applies to Top sort on feeds; search is not time-windowed).",
                        "default": "all"
                    },
                    "includeNSFW": {
                        "title": "🔞 Include NSFW",
                        "type": "boolean",
                        "description": "Include posts and communities marked as NSFW (18+).",
                        "default": false
                    },
                    "postDateLimit": {
                        "title": "📅 Post Date Limit",
                        "type": "string",
                        "description": "Skip posts older than this ISO-8601 date (e.g. \"2024-01-01\"). Applies to subreddit feeds and post URLs; search results carry no date and are not filtered. Leave blank for no date limit."
                    },
                    "maxItems": {
                        "title": "🔢 Max Items",
                        "minimum": 1,
                        "type": "integer",
                        "description": "Maximum total records to save across all sources (posts, comments, users, communities).",
                        "default": 100
                    },
                    "maxComments": {
                        "title": "💬 Max Comments Per Post",
                        "minimum": 0,
                        "type": "integer",
                        "description": "Maximum number of comments to collect from each post page.",
                        "default": 200
                    },
                    "includeCollapsed": {
                        "title": "💬 Include Collapsed Comments",
                        "type": "boolean",
                        "description": "Expand and include comments that are initially collapsed (controversial or low-score). Enables deeper thread coverage, up to the comment and depth limits you set.",
                        "default": true
                    },
                    "commentDepth": {
                        "title": "🌳 Comment Depth",
                        "minimum": 1,
                        "type": "integer",
                        "description": "Maximum reply nesting depth to collect (1 = top-level only).",
                        "default": 10
                    },
                    "skipComments": {
                        "title": "⏭️ Skip Comments",
                        "type": "boolean",
                        "description": "Do not collect comments from post pages — output posts only.",
                        "default": false
                    },
                    "descriptionFormat": {
                        "title": "📄 Description Format",
                        "enum": [
                            "all",
                            "text",
                            "html",
                            "markdown"
                        ],
                        "type": "string",
                        "description": "Controls which body/description fields are included in output. \"all\" emits text + HTML + markdown variants.",
                        "default": "all"
                    },
                    "excludeEmptyFields": {
                        "title": "🧹 Exclude Empty Fields",
                        "type": "boolean",
                        "description": "Strip null and empty fields from output records to reduce payload size.",
                        "default": false
                    },
                    "includeRunMetadata": {
                        "title": "📋 Include Run Metadata",
                        "type": "boolean",
                        "description": "Append a single run-summary record at the end of the dataset (run ID, timing, item counts). It is marked itemType=\"runMetadata\" and is added in addition to your matching records — filter on itemType to exclude it.",
                        "default": false
                    },
                    "appConnector": {
                        "title": "Send results to Notion (or another connected app)",
                        "type": "string",
                        "description": "Optional. Pick a connected app under Settings → API & Integrations to receive your scraped Reddit results. Notion is supported today (a run-summary page); other MCP connectors are best-effort as Apify expands its catalog."
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```