---
title: Analyse Keywords API
slug: extract-group-keywords
url: https://apyverse.com/apyhub/service/extract-group-keywords
provider: ApyHub
categories: [Artificial Intelligence, Data Extraction, SEO]
auth: api_key
---

# Analyse Keywords API

Analyse public article URLs and return ranked keyword groups with scores. Useful for SEO research, topic clustering, and content planning.

## Endpoints

| Method | Path | Description | Atoms |
| --- | --- | --- | --- |
| POST | `/extract/keywords/analyse` | What it does Extracts keyword groups from the article URLs you provide and returns them in a ranked… | 200 |

## About

## What it does
Keyword Grouping analyzes public article URLs and returns ranked groups of related keywords. Send one or more article links, and get back keyword clusters you can use to understand topical themes, compare coverage, or build content outlines.

The request body accepts `urls` as an array of public article URLs, with up to 10 links. You can also pass an optional `article_length` hint to help the parser tune extraction, and `return_results_top` to limit how many keyword groups come back. The response includes `data.keyword_groups`, where each group has a numeric `score` and a `keywords` array.

Use Keyword Grouping when you need to turn a set of articles into structured SEO or editorial signals. For example, you might analyse competitor pages before drafting a new article, cluster terms from a content library, or identify repeated themes across sources without manually reading each page.

The output is intentionally compact: ranked groups of keywords, not a full article summary. That makes it easy to feed into downstream search, content planning, or classification workflows.

## Usage

Authenticate with an ApyHub API key in the `apy-token` header.
Full docs and a live playground: https://apyverse.com/apyhub/service/extract-group-keywords