# Datamuse Word Finder (`real-estate-api/datamuse-word-finder-202610120341`) Actor

Datamuse Word Finder is a Python tool designed to query the Datamuse API for synonyms, rhymes, antonyms, and related terms using custom linguistic constraints. It exports structured vocabulary datasets into clean CSV or JSON formats for NLP research and text analysis.

- **URL**: https://apify.com/real-estate-api/datamuse-word-finder-202610120341.md
- **Developed by:** [real-estate-api](https://apify.com/real-estate-api) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.99 / 1,000 results

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/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

### Datamuse Word Finder — Rhymes, Related Words, and Suggestions

### Overview

Datamuse Word Finder helps writers, SEO specialists, marketers, and content creators discover related words, rhymes, and word suggestions. Enter one or more seed words, choose a search relation, and collect structured results for content research, keyword exploration, and creative projects.

The actor organizes matching words into a dataset that can be exported as JSON, CSV, or Excel for further analysis, reporting, and content planning.

### Key Features

- **Related-word discovery:** Find words associated with a seed term to expand vocabulary and explore related concepts.
- **Rhyme generation:** Discover rhyming words for headlines, slogans, advertising copy, poetry, and creative writing.
- **Word suggestions:** Explore suggested words based on prefixes for autocomplete research and content ideation.
- **Bulk word collection:** Submit multiple seed words in a single run.
- **Configurable result limits:** Control the maximum number of results requested per seed and the total number of records collected.
- **Structured datasets:** Save word matches with available ranking scores, descriptive tags, and collection timestamps.
- **Duplicate removal:** Avoid repeated word entries in the collected dataset.
- **Flexible exports:** Export results in JSON, CSV, or Excel format.

### Use Cases

#### SEO and Keyword Research

Discover semantically related terms to broaden keyword ideas, enrich content briefs, develop supporting topics, and explore alternative wording for titles and meta descriptions. Suggestions can support brainstorming but should not be treated as verified search-volume or keyword-difficulty data.

#### Content Writing and Editing

Find alternative words and related concepts when developing articles, landing pages, blog posts, product descriptions, and editorial outlines.

#### Rhyme and Slogan Generation

Collect rhyming words to support creative writing, advertising campaigns, brand messaging, song titles, and memorable slogans.

#### Autocomplete and Search Suggestions

Explore prefix-based word suggestions to generate ideas for search boxes, writing tools, and vocabulary applications.

#### Research and Dataset Building

Collect repeatable word lists for linguistic exploration, vocabulary analysis, content planning, and downstream data-processing workflows.

### Input Parameters

| Parameter | Type | Default | Description |
|---|---|---|---|
| `words` | Array | `["python"]` | Seed words to search. Supply one word per array entry. |
| `relation` | String | `ml` | Search relation: `ml` for related meanings, `rel_rhy` for rhymes, or `sug` for word suggestions. Supported aliases include `means_like`, `rhymes`, and `suggest`. |
| `max` | Integer | `100` | Maximum number of results requested per seed, from 1 to 1,000. |
| `maxItems` | Integer | `100` | Maximum number of word records saved across the entire run, from 1 to 1,000. |
| `timeoutSecs` | Integer | `300` | Overall run time limit in seconds. |
| `requestTimeoutSecs` | Integer | `30` | Maximum wait time for an individual request, in seconds. |

### Example Input

This configuration searches for words related to `python` and `data`, requesting up to 100 results per seed and saving up to 100 records overall.

```json
{
  "words": ["python", "data"],
  "relation": "ml",
  "max": 100,
  "maxItems": 100,
  "timeoutSecs": 300,
  "requestTimeoutSecs": 30
}
```

### Extracted Data

Each matching word is stored as a structured dataset record. Duplicate words are removed to help keep the resulting collection organized.

| Field | Type | Description |
|---|---|---|
| `word` | String | Matching word returned by the search, with any HTML tags removed. |
| `score` | Integer | Ranking score associated with the result. Useful for comparing and sorting matches, but not a probability or confidence percentage. |
| `tags` | Array | Additional labels, such as parts of speech, when supplied with the result. |
| `scrapedAt` | String | UTC timestamp indicating when the record was collected. |

### Example Output

```json
{
  "word": "monty",
  "score": 28904401,
  "tags": ["n", "prop"],
  "scrapedAt": "2026-10-12T00:00:00+00:00"
}
```

Actual words, scores, and tags depend on the seed words, selected relation, and available results.

### Working with Your Dataset

Choose an export format according to your workflow:

- **JSON:** Suitable for structured data processing and application workflows.
- **CSV:** Convenient for spreadsheets, filtering, sorting, and basic analysis.
- **Excel:** Useful for reviewing word lists, organizing research, and sharing results with a team.

For more meaningful analysis, consider grouping results by seed word or search relation in your own workflow. Ranking scores can help order matches, but relevance should always be evaluated in context.

### Important Notes

- The actor supports related-word searches, rhymes, and prefix-based suggestions.
- Results depend on the terms supplied and the selected search relation.
- Ranking scores are not search-volume measurements, keyword-difficulty metrics, or guarantees of semantic relevance.
- Available tags depend on the information returned with each match.
- Review suggested words before using them in published content.
- Avoid submitting confidential information or private customer text that you are not authorized to share with an external service.

### FAQ

#### What search relations are supported?

The actor supports related meanings (`ml`), rhymes (`rel_rhy`), and word suggestions (`sug`). You can also use the supported aliases `means_like`, `rhymes`, and `suggest`.

#### Can I search for multiple words in one run?

Yes. Add each seed word as a separate entry in the `words` array.

#### What is the difference between `max` and `maxItems`?

`max` sets the maximum number of results requested for each seed word, while `maxItems` sets the maximum number of records saved across the entire run. Both support values from 1 to 1,000.

#### What does the ranking score mean?

The score helps rank and compare matching words. It is not a probability, search-volume measurement, or keyword-difficulty metric.

#### What export formats are supported?

You can export the dataset as JSON, CSV, or Excel.

#### Are the results guaranteed to be relevant to my content?

No. Relevance depends on the seed words and selected relation. Review results before using them for SEO, editorial work, or published content.

### Disclaimer

This Actor is an independent tool and is not affiliated with, endorsed by, sponsored by, or otherwise officially associated with Datamuse or its owners. Users are responsible for complying with applicable source terms and collection restrictions.

### Is Web Scraping Legal?

Collecting information that is already public is generally legal. Scraping is not the same thing as hacking, and there is no single law that bans it. The limits are the usual ones: do not break into accounts, do not take private or confidential data, and be careful with personal data and copyrighted works. A site's terms can also restrict how you access it. Facts such as a public name, price, or rating are not the same thing as republishing someone's article or photo.

This actor collects information from public pages. It does not log in and it does not bypass access controls.

For a longer explanation, see Apify's article [Is web scraping legal?](https://blog.apify.com/is-web-scraping-legal/).

# Actor input Schema

## `words` (type: `array`):

Seed words or phrases. One entry per line. Each seed is sent to the Datamuse words or suggestion endpoint.

## `relation` (type: `string`):

Verified query to run: ml (means like), rel_rhy (rhymes), or sug (autocomplete on /sug). Aliases means_like, rhymes, and suggest are accepted. rel_syn, sl, and sp are not called.

## `max` (type: `integer`):

How many Datamuse hits to request for each seed word. Clamped to 1-1000, which is the API maximum.

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

Hard cap on word rows saved in the dataset for the whole run. Clamped to 1-1000.

## `apiKey` (type: `string`):

Optional Datamuse API key. Left blank for the current public limit. When set, it is sent as the key query parameter and is omitted from sourceUrl. Datamuse has said a key will be required from 1 February 2027.

## `timeoutSecs` (type: `integer`):

Maximum seconds the run may spend fetching words. When the clock runs out, an error row is saved and the run stops.

## `requestTimeoutSecs` (type: `integer`):

Seconds to wait for each Datamuse HTTP response before retrying.

## `proxyConfiguration` (type: `object`):

Optional proxy for Datamuse requests. Leave Apify Proxy off unless you need it. The public API does not require a proxy.

## Actor input object example

```json
{
  "words": [
    "python",
    "data"
  ],
  "relation": "rel_rhy",
  "max": 100,
  "maxItems": 100,
  "timeoutSecs": 300,
  "requestTimeoutSecs": 30,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `datasetUrl` (type: `string`):

Full dataset of related words, rhymes, or suggestions.

## `overviewUrl` (type: `string`):

Table of word, score, tags, and source URL.

# 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 = {
    "words": [
        "python"
    ],
    "relation": "ml",
    "max": 100,
    "maxItems": 100,
    "timeoutSecs": 300,
    "requestTimeoutSecs": 30,
    "proxyConfiguration": {
        "useApifyProxy": false
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("real-estate-api/datamuse-word-finder-202610120341").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 = {
    "words": ["python"],
    "relation": "ml",
    "max": 100,
    "maxItems": 100,
    "timeoutSecs": 300,
    "requestTimeoutSecs": 30,
    "proxyConfiguration": { "useApifyProxy": False },
}

# Run the Actor and wait for it to finish
run = client.actor("real-estate-api/datamuse-word-finder-202610120341").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 '{
  "words": [
    "python"
  ],
  "relation": "ml",
  "max": 100,
  "maxItems": 100,
  "timeoutSecs": 300,
  "requestTimeoutSecs": 30,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}' |
apify call real-estate-api/datamuse-word-finder-202610120341 --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,real-estate-api/datamuse-word-finder-202610120341"
        }
    }
}
```

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/bRqcoc6hMVrqsDNWW/builds/riuaDFwaEdIOHOKqX/openapi.json