# Reddit Threads Finder — Top Ranking Reddit Keyword Research API (`dev00/reddit-threads-finder`) Actor

Find top-ranking Reddit threads for any keyword with search volumes, Google ranking positions, estimated visits, and comment counts. Filter by country.

- **URL**: https://apify.com/dev00/reddit-threads-finder.md
- **Developed by:** [dev00](https://apify.com/dev00) (community)
- **Categories:** Social media
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$3.00 / 1,000 reddit threads searches

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

## Reddit Threads Finder — Top Ranking Reddit Keyword Research API

Find **top-ranking Reddit threads** for any keyword with **search volumes**, **Google ranking positions**, **estimated monthly visits**, and **comment counts**. Filter by country (US, UK, Australia, Canada, Everywhere). **No API Key required**. Procedural anti-blocking included.

***

### ✨ Key Features

- 🔍 **Reddit Keyword Research** — Discover which Reddit threads rank on Google for any keyword niche.
- 📊 **Search Volume Data** — Get monthly search volumes for each keyword that triggers a Reddit thread ranking.
- 📈 **Google Rank Positions** — See the exact Google SERP ranking position of each Reddit thread.
- 👀 **Estimated Visits** — Monthly estimated organic traffic to each Reddit thread.
- 💬 **Comment Counts** — Reddit comment counts per thread for engagement analysis.
- 🌍 **Country Filtering** — Filter results by US, UK, Australia, Canada, or Everywhere (Global).
- 🛡️ **Procedural Anti-Blocking** — Every request uses a unique HMAC-signed token and randomized User-Agent.
- 🔐 **No API Keys Needed** — Keyless, stateless execution.

***

### 📥 Input Parameters

| Parameter | Type | Required | Default | Description |
| :--- | :--- | :--- | :--- | :--- |
| `keyword` | String | Yes | — | The keyword to search for top-ranking Reddit threads. |
| `country` | String | No | `everywhere` | Target country: `everywhere`, `us`, `uk`, `australia`, `canada`. |

#### Input Example (JSON):

```json
{
  "keyword": "seo",
  "country": "us"
}
```

***

### 📤 Output Format Example

```json
{
  "keyword": "seo",
  "country": "us",
  "location_id": 2840,
  "total_keywords_found": 715,
  "threads_returned": 10,
  "threads": [
    {
      "keyword": "se ranking",
      "search_volume": 8100,
      "title": "I Tried SE Ranking for 30 Days: Here's What Happened ...",
      "url": "https://www.reddit.com/r/thenicheelite/comments/1fh87yr/...",
      "google_rank": 5,
      "estimated_visits": 230,
      "reddit_comments": null
    },
    {
      "keyword": "buying backlinks",
      "search_volume": 1600,
      "title": "Where Can I Buy Backlinks : r/SEO",
      "url": "https://www.reddit.com/r/SEO/comments/1flc576/...",
      "google_rank": 1,
      "estimated_visits": 477,
      "reddit_comments": 104
    }
  ]
}
```

***

### 🆚 Why Reddit Threads Finder API vs. Manual Reddit Search

| Feature | Reddit Threads Finder API | Manual Reddit Search |
| :--- | :--- | :--- |
| **Google SERP Data** | ✅ Rank positions, search volumes, estimated visits | ❌ No SERP data |
| **Keyword Discovery** | ✅ Finds keywords that trigger Reddit rankings | ❌ Only subreddit internal search |
| **Country Filtering** | ✅ US, UK, AU, CA, Global | ❌ No geo-targeting |
| **Engagement Metrics** | ✅ Comment counts included | ⚠️ Manual counting |
| **API Key** | ⚡ Zero key needed | N/A |

***

### 💡 How To Use — Simple Workflow

1. **Enter Keyword** → Enter your target keyword (e.g., `seo`, `vpn`, `best laptop`).
2. **Select Country** → Choose target country or leave as `everywhere`.
3. **Run** → Click **Start** and get top-ranking Reddit threads with full SERP metrics.
4. **Export** → Export results to JSON/CSV for analysis.

***

### 🎯 Use Cases

- 📈 **Reddit SEO Strategy** — Discover which Reddit threads dominate Google SERPs for your niche keywords.
- 🔍 **Content Gap Analysis** — Find topics where Reddit outranks traditional websites.
- 💼 **Lead Generation** — Identify high-traffic Reddit discussions for outreach and engagement.
- 📊 **Competitor Research** — See which Reddit threads rank for your competitors' keywords.

***

### 🔍 Keywords & Tags

`reddit threads finder`, `reddit keyword research`, `reddit seo`, `reddit serp`, `reddit ranking`, `keyword research api`, `reddit traffic`, `reddit comments`

# Actor input Schema

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

The keyword to search for top-ranking Reddit threads (e.g., seo, vpn, best laptop).

## `country` (type: `string`):

Target country for search volume data. Options: everywhere, us, uk, australia, canada.

## Actor input object example

```json
{
  "keyword": "seo",
  "country": "everywhere"
}
```

# Actor output Schema

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

No description

## `keyValueStoreResult` (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 = {
    "keyword": "seo"
};

// Run the Actor and wait for it to finish
const run = await client.actor("dev00/reddit-threads-finder").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": "seo" }

# Run the Actor and wait for it to finish
run = client.actor("dev00/reddit-threads-finder").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": "seo"
}' |
apify call dev00/reddit-threads-finder --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=dev00/reddit-threads-finder",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/cKnG5bPGT5xJqq8hL/builds/OedHyTAbNW9TP3Xea/openapi.json