# Long-Tail Keyword Finder: Google, YouTube, Amazon, Bing (`precious_bathmat/long-tail-keyword-finder`) Actor

Turn one seed keyword into hundreds of real long-tail phrases from the autocomplete of Google, YouTube, Bing, DuckDuckGo, Amazon and eBay at once, each with the platforms that suggested it and whether it is a question, a comparison or a buying phrase. No key, no login, no proxy.

- **URL**: https://apify.com/precious\_bathmat/long-tail-keyword-finder.md
- **Developed by:** [Mariam Ahmed](https://apify.com/precious_bathmat) (community)
- **Categories:** SEO tools, Marketing
- **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/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

## Long-Tail Keyword Finder: Google, YouTube, Amazon, Bing

**One seed keyword in, hundreds of real long-tail phrases out.** Read from the autocomplete of Google, YouTube, Bing, DuckDuckGo, Amazon and eBay at the same time, deduplicated into one table.

No API key, no account, no proxy.

### What does this do?

Autocomplete is the only free, first-hand record of what people actually type. Every other keyword Actor reads **one** box — usually Google — and hands back a list. This one reads six, merges them, and tells you which platforms agreed.

```mermaid
flowchart LR
    A[Seed keyword] --> B[Expanded into ~450 queries<br/>a-z, questions, buying words]
    B --> C[Google · YouTube · Bing<br/>DuckDuckGo · Amazon · eBay]
    C --> D[One row per keyword:<br/>platforms, rank, intent]
```

### Who is it for?

| You are | You use it to |
|---|---|
| **SEO and content writers** | Build a topic cluster from the questions people really ask |
| **YouTubers** | See what the YouTube box suggests, which is rarely what Google suggests |
| **Amazon and eBay sellers** | Find the buying phrases shoppers type in the marketplace, per country |
| **PPC managers** | Harvest long-tail phrases and negative keyword candidates |
| **App and product marketers** | Find the words your market uses before you write the page |
| **Agencies** | Produce a keyword universe for a client brief in under a minute |

### What data do you get?

One row per keyword:

| Field | Meaning |
|---|---|
| `keyword`, `seed` | The phrase, and the seed it came from |
| `platforms`, `platformCount` | Which boxes suggested it, and how many |
| `bestRank` | The highest position any platform gave it |
| `timesSuggested` | How many different queries surfaced it |
| `score` | Ranking signal: breadth, repetition and position combined |
| `intent` | `question`, `comparison`, `local`, `commercial` or `general` |
| `wordCount`, `characterCount`, `isLongTail` | Shape of the phrase (long tail is 4+ words) |
| `containsSeed` | Whether the seed survived, or autocomplete drifted to a neighbour |

The run summary adds per-platform and per-intent totals, the top keywords and the top questions for each seed.

### Example: three seeds, one run

A real run on 17 September 2026 from Apify, US market, 40 seconds, **4,089 keywords**:

| Seed | Keywords | Google | YouTube | Bing | DuckDuckGo | Amazon | eBay | Questions |
|---|---|---|---|---|---|---|---|---|
| running shoes | 1,500 | 556 | 446 | 533 | 460 | 298 | 192 | 233 |
| protein powder | 1,500 | 587 | 528 | 596 | 484 | 354 | 160 | 231 |
| project management software | 1,089 | 445 | 313 | 488 | 327 | **7** | **0** | 117 |

That last row is the point of reading six boxes: a software term has no shopping demand at all, while "running shoes" has 490 marketplace phrases that Google never shows you.

### What this does not give you, and why

**There is no search volume and no cost per click.** Those numbers come from Google Ads, which needs a paid account and an API key, and this Actor is built to run with neither. Anything else you see sold as "free search volume" is a scrape of somebody's dashboard and breaks when they change it.

Instead you get three honest popularity signals straight from the source:

- `platformCount` — six boxes suggesting the same phrase is a strong signal
- `bestRank` — autocomplete lists are ordered by popularity, so position 1 means something
- `timesSuggested` — how many different queries pulled it back

Also worth knowing: **the country behind Google, YouTube, DuckDuckGo and Bing follows the server, which is in the United States.** You can pick the language, and the shopping market setting really does switch Amazon, eBay and Bing to another country, but "Google suggestions as seen from Germany" is not something this can promise.

### How to use it

1. Put your **seed keywords** in, one per line. Short seeds return more.
2. Choose the **platforms**. Drop Amazon and eBay for services and software; keep them for anything physical.
3. Choose the **expansions**: letters a-z, question words, buying words, prepositions.
4. Set the **language** and, for the shopping platforms, the **market**.
5. Run it. One seed with all six platforms is about 450 requests and takes 5 to 25 seconds.

### Pay-per-event pricing

| Event | Price |
|---|---|
| Seed keyword | $0.01 |
| Keyword returned | $0.0002 |

One seed returning 1,000 keywords costs **$0.21**. Three seeds and 4,089 keywords: **$0.85**.

### Popular keyword sets

- [YouTube Keyword Research: What Viewers Search For](https://apify.com/precious_bathmat/long-tail-keyword-finder/examples/youtube-keyword-research) — "how to edit videos" on youtube
- [Amazon Keyword Research: What Shoppers Actually Type](https://apify.com/precious_bathmat/long-tail-keyword-finder/examples/amazon-keyword-research) — "protein powder" on amazon
- [eBay Keyword Research for Listings and Titles](https://apify.com/precious_bathmat/long-tail-keyword-finder/examples/ebay-keyword-research) — "vintage watch" on ebay
- [Google Autocomplete Keywords, Expanded A to Z](https://apify.com/precious_bathmat/long-tail-keyword-finder/examples/google-autocomplete-keywords) — "running shoes" on google
- [Question Keywords for Blog Posts and FAQ Pages](https://apify.com/precious_bathmat/long-tail-keyword-finder/examples/question-keywords-for-blog-posts) — "coffee maker" on google, youtube, bing, duckduckgo
- [Long-Tail Keywords for SEO From Four Search Engines](https://apify.com/precious_bathmat/long-tail-keyword-finder/examples/long-tail-keywords-for-seo) — "project management software" on google, youtube, bing, duckduckgo
- [Fitness Keyword Research: Gear, Workouts, Questions](https://apify.com/precious_bathmat/long-tail-keyword-finder/examples/fitness-keyword-research) — "home gym equipment" on all six platforms
- [Skincare Keyword Research for Content and Listings](https://apify.com/precious_bathmat/long-tail-keyword-finder/examples/skincare-keyword-research) — "face serum" on all six platforms
- [Coffee Keyword Research: Gear, Brewing and Buying](https://apify.com/precious_bathmat/long-tail-keyword-finder/examples/coffee-keyword-research) — "espresso machine" on all six platforms
- [Pet Supplies Keyword Research for Stores and Blogs](https://apify.com/precious_bathmat/long-tail-keyword-finder/examples/pet-supplies-keyword-research) — "dog food" on all six platforms
- [Travel Keyword Research for Blogs and Gear Stores](https://apify.com/precious_bathmat/long-tail-keyword-finder/examples/travel-keyword-research) — "carry on luggage" on all six platforms
- [Gaming Keyword Research for Channels and Stores](https://apify.com/precious_bathmat/long-tail-keyword-finder/examples/gaming-keyword-research) — "gaming chair" on all six platforms
- [Software Keyword Research for SaaS Content and Ads](https://apify.com/precious_bathmat/long-tail-keyword-finder/examples/software-keyword-research) — "crm software" on google, youtube, bing, duckduckgo
- [Home and Office Keyword Research for Stores](https://apify.com/precious_bathmat/long-tail-keyword-finder/examples/home-decor-keyword-research) — "standing desk" on all six platforms
- [UK Keyword Research: Amazon, eBay and Bing UK](https://apify.com/precious_bathmat/long-tail-keyword-finder/examples/uk-keyword-research) — "running shoes" on amazon, ebay, bing

Each page is the same Actor with a different seed and platform set. Open one, put your own keyword in, and run it.

# Actor input Schema

## `seeds` (type: `array`):

The words you want expanded, one per line. Short seeds return more: "running shoes" beats "best running shoes for flat feet".

## `platforms` (type: `array`):

Which autocompletes to read. Google and Bing show what people search on the web, YouTube what they search in video, Amazon and eBay what they search when they are ready to buy.

## `expansions` (type: `array`):

Letters add "seed a" to "seed z". Questions add how, what, why and the rest, in front and behind. Buying words add best, cheap, price, review. Prepositions add for, with, near, vs.

## `language` (type: `string`):

The language the suggestions come back in. The country the suggestions reflect follows the server, which is in the United States.

## `market` (type: `string`):

Which Amazon, eBay and Bing market to read. This is the one real country setting: Amazon and eBay answer per country.

## `maxKeywordsPerSeed` (type: `integer`):

A cap on what a run costs. Keywords are kept in score order, so the cap drops the weakest ones first.

## Actor input object example

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

# Actor output Schema

## `keywords` (type: `string`):

Every keyword, with the platforms that suggested it and its intent.

## `summary` (type: `string`):

Totals per seed, per platform and per intent, and the top keywords.

# 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 = {
    "seeds": [
        "running shoes"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("precious_bathmat/long-tail-keyword-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 = { "seeds": ["running shoes"] }

# Run the Actor and wait for it to finish
run = client.actor("precious_bathmat/long-tail-keyword-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 '{
  "seeds": [
    "running shoes"
  ]
}' |
apify call precious_bathmat/long-tail-keyword-finder --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,precious_bathmat/long-tail-keyword-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/ZOagFrxhMIwP0DLop/builds/i2VbUzbOpugjYDjQE/openapi.json