# Coffee Keyword Research: Gear, Brewing and Buying

**Use case:** 

A ready-made run for "espresso machine" across six search boxes. Coffee is a niche where the video questions, the blog questions and the marketplace phrases are all different, and this shows the three side by side with positions and intent. Swap in your own coffee seed keyword.

## Input

```json
{
  "seeds": [
    "espresso machine"
  ],
  "platforms": [
    "google",
    "youtube",
    "bing",
    "duckduckgo",
    "amazon",
    "ebay"
  ],
  "expansions": [
    "alphabet",
    "questions",
    "commercial"
  ],
  "language": "en",
  "market": "US",
  "maxKeywordsPerSeed": 1000
}
```

## Output

```json
{
  "keyword": {
    "label": "Keyword"
  },
  "seed": {
    "label": "Seed"
  },
  "platformCount": {
    "label": "Platforms",
    "format": "number"
  },
  "platforms": {
    "label": "Suggested by",
    "format": "array"
  },
  "score": {
    "label": "Score",
    "format": "number"
  },
  "bestRank": {
    "label": "Best rank",
    "format": "number"
  },
  "timesSuggested": {
    "label": "Times suggested",
    "format": "number"
  },
  "intent": {
    "label": "Intent"
  },
  "wordCount": {
    "label": "Words",
    "format": "number"
  },
  "isLongTail": {
    "label": "Long tail",
    "format": "boolean"
  }
}
```

## About this Actor

This example demonstrates how to use [Long-Tail Keyword Finder: Google, YouTube, Amazon, Bing](https://apify.com/precious_bathmat/long-tail-keyword-finder.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/precious_bathmat/long-tail-keyword-finder.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

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 full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/precious_bathmat/long-tail-keyword-finder.md

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`).