# Reddit Post Search (Pythia) (`apricot_blackberry/pythia-reddit`) Actor

Search Reddit posts via the public search.json endpoint. Returns up to 50 posts per query with subreddit, score, comment count, and permalink. Optional subreddit scoping. No auth required.

- **URL**: https://apify.com/apricot\_blackberry/pythia-reddit.md
- **Developed by:** [Creator Fusion](https://apify.com/apricot_blackberry) (community)
- **Categories:** Business, News, Social media
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per event

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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

## Pythia · Reddit Search — Brand & Community Intel

Search Reddit threads, posts, and comments by query — across r/all or a chosen subreddit. Reddit is where customers complain, competitors get reviewed, and tech-stack adoption gets discussed publicly.

### What it does

Each query returns matching threads with title, score, comments, posted\_at, subreddit, author, permalink. Use for brand monitoring, market discovery, support-issue surveillance.

### Quick example

**Input:**

```json
{ "queries": ["Anthropic", "Claude AI"], "subreddit": "MachineLearning", "since_days": 30 }
```

**Output:** Per matching thread — title, subreddit, score, author, posted\_at, comment count, permalink, snippet of body.

### Use cases

- **Brand monitoring** — Track every mention of your product in real time
- **BD prospecting** — Find buyers complaining about competitors in your category
- **Pain-point discovery** — Mine subreddits for unmet need signals

### Pricing

`$0.02` per actor start + `$0.03` per thread. Most queries return 10–100 threads.

### Limitations

Reddit search API throttled to ~60 req/min, this actor backs off automatically. r/all search only; private subreddits inaccessible.

### Pythia ecosystem

Part of [Pythia](https://creatorfusion.net/pythia) by Creator Fusion. Pythia combines this actor with 14+ other OSINT sources for a single-page weekly company-intel briefing.

# Actor input Schema

## `queries` (type: `array`):

Reddit search terms. Each query becomes one API call against r/all (or the chosen subreddit).

## `subreddit` (type: `string`):

Optional subreddit name to scope to (without 'r/' prefix). Leave blank for r/all. Example: 'cybersecurity'.

## `since_days` (type: `integer`):

Look back this many days. Default 30.

## Actor input object example

```json
{
  "queries": [
    "Anthropic"
  ],
  "since_days": 30
}
```

# 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 = {
    "queries": [
        "Anthropic"
    ],
    "since_days": 30
};

// Run the Actor and wait for it to finish
const run = await client.actor("apricot_blackberry/pythia-reddit").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 = {
    "queries": ["Anthropic"],
    "since_days": 30,
}

# Run the Actor and wait for it to finish
run = client.actor("apricot_blackberry/pythia-reddit").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 '{
  "queries": [
    "Anthropic"
  ],
  "since_days": 30
}' |
apify call apricot_blackberry/pythia-reddit --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/krfv1VDOH3qCCeFrU/builds/QLGFxIgzHmf3azqb0/openapi.json