# Related Keywords & Synonyms Finder: SEO Keyword Ideas (`pankajbhatia/related-keywords-finder`) Actor

Find related keywords, synonyms, autocomplete suggestions, associated terms, broader and narrower terms, rhymes and sound-alikes for any seed keyword, with frequency and part of speech. For SEO, content and naming.

- **URL**: https://apify.com/pankajbhatia/related-keywords-finder.md
- **Developed by:** [Pankaj Bhatia](https://apify.com/pankajbhatia) (community)
- **Categories:** SEO tools, Marketing
- **Security:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.30 / 1,000 keyword results

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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Related Keywords & Synonyms Finder: SEO Keyword Ideas

Find **related keywords**, **synonyms**, **autocomplete suggestions**, **associated words**, **broader and narrower terms**, **adjectives and nouns** that are often used together, words that often **follow or come before** your term, **antonyms**, **rhymes**, **sound-alikes** and **spelling matches** for any seed keyword. Each result comes with its **rank**, relevance **score**, **word count**, **part of speech**, **syllables** and how common the word is in English (**frequency per million words**). Results come from the free **Datamuse** word-finding API. You can enter many seed keywords and relation types in one run, add a **topic hint** to steer results, and filter out rare words. No login or API key is needed.

### Who is it for?

- **SEO specialists and content marketers** brainstorming semantic keywords, LSI terms and content outlines.
- **Copywriters and brand namers** looking for synonyms, associations and catchy rhymes.
- **Product and app teams** building search suggestions, tag clouds or word games.
- **Teachers, students and writers** expanding their vocabulary.

### How to use it

1. Enter one or more **seed keywords** (the default is running shoes).
2. Choose the **relations** you want (related meaning, autocomplete and synonyms by default).
3. Optionally add a **topic hint** and a **minimum frequency**, set **Max results per relation** and click **Start**.

### Input example

```json
{"keywords": ["coffee", "espresso machine"], "relations": ["related", "triggers", "adjectives", "autocomplete"], "topic": "kitchen", "maxResultsPerRelation": 100}
```

### Output example

```json
{"keyword": "running shoes", "relation": "related", "relationLabel": "Related meaning", "result": "road spikes", "rank": 1, "score": 20047806, "wordCount": 2, "partsOfSpeech": "noun", "syllables": 2}
```

### How much does it cost?

Pay-per-event: a small fee **per keyword result** returned, plus a tiny per-run start fee. There is no subscription and no separate platform usage cost. For example, 1,000 results cost about $0.30. Searches with no matches and error rows are **not charged**. Use **Max results per relation** or **Maximum cost per run** to cap your spending.

### Use it through the API, integrations or AI agents

Run it from the Apify API, on a schedule, or connect it to Make, Zapier, n8n or Google Sheets. AI agents can find and call it through the Apify MCP server. Output is clean JSON with the same fields on every run.

### FAQ

**Is it legal?** Yes. Datamuse offers its API for free public use without a key, up to 100,000 requests per day. This tool makes only a few requests per seed keyword. The results are general words, not personal data. It is not affiliated with Datamuse.

**Does it show search volume?** No. It shows how common a word is in general English (frequency per million words), not how often it is searched on Google.

**Why do some relations return few results?** Multi-word phrases often have fewer synonyms or rhymes. Try single words, or use the related-meaning and associated-words relations.

**Can I use wildcards?** Yes. With the spelled-like relation, use \* and ?. For example, "s\*ing" finds words that start with s and end with ing.

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# Actor input Schema

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

e.g. running shoes, coffee, project management.

## `relations` (type: `array`):

Which kinds of related words to return.

## `topic` (type: `string`):

Bias results toward a topic, e.g. sports, finance.

## `minFrequencyPerMillion` (type: `integer`):

0 = any. Higher = more common words.

## `maxResultsPerRelation` (type: `integer`):

Per seed keyword.

## Actor input object example

```json
{
  "keywords": [
    "running shoes"
  ],
  "relations": [
    "related",
    "autocomplete",
    "synonyms"
  ],
  "topic": "",
  "minFrequencyPerMillion": 0,
  "maxResultsPerRelation": 50
}
```

# Actor output Schema

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

One row per related word or phrase.

# 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 = {
    "keywords": [
        "running shoes"
    ],
    "relations": [
        "related",
        "autocomplete",
        "synonyms"
    ],
    "topic": "",
    "minFrequencyPerMillion": 0,
    "maxResultsPerRelation": 50
};

// Run the Actor and wait for it to finish
const run = await client.actor("pankajbhatia/related-keywords-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 = {
    "keywords": ["running shoes"],
    "relations": [
        "related",
        "autocomplete",
        "synonyms",
    ],
    "topic": "",
    "minFrequencyPerMillion": 0,
    "maxResultsPerRelation": 50,
}

# Run the Actor and wait for it to finish
run = client.actor("pankajbhatia/related-keywords-finder").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "keywords": [
    "running shoes"
  ],
  "relations": [
    "related",
    "autocomplete",
    "synonyms"
  ],
  "topic": "",
  "minFrequencyPerMillion": 0,
  "maxResultsPerRelation": 50
}' |
apify call pankajbhatia/related-keywords-finder --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,pankajbhatia/related-keywords-finder"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/FM1FFlefZorYaMP8B/builds/RBbfNSN9J8yTZGcbG/openapi.json