---
title: Analyse Keywords API
slug: extract-and-group-keywords-from-article
url: https://apyhub.com/apyhub/service/extract-and-group-keywords-from-article
provider: ApyHub
categories: [Artificial Intelligence, Data Extraction, SEO]
tags: [keyword-extraction, keyword-grouping, article-analysis, content-clustering, seo]
auth: api_key
---

# Analyse Keywords API

Analyze public article URLs and return ranked keyword groups with scores. Useful for content clustering, topic analysis, and SEO workflows.

## Endpoints

| Method | Path | Description | Atoms |
| --- | --- | --- | --- |
| POST | `/extract/keywords/analyse` | What it does Extracts and groups keywords from one or more publicly accessible article URLs. The re… | 200 |

## About

## What it does
Keyword Grouping analyzes one to ten publicly accessible article URLs and returns ranked keyword groups for the content it finds. Send article URLs, optionally include an `article_length` hint, and set `return_results_top` if you want to limit how many groups come back.

Use Keyword Grouping when you need to compare articles by topic, cluster related terms across a content library, or pull out the main themes from a batch of pages. The service is built for article analysis, so it works well for editorial workflows, content research, and SEO tooling where you want grouped terms instead of a flat keyword list.

The response contains `data.keyword_groups`, an array of objects with a numeric `score` and a `keywords` array. Each group represents a ranked set of related keywords extracted from the provided articles, which makes it easy to sort by relevance or feed the results into downstream classification, search, or reporting jobs.

Because the input is limited to public article URLs, this is a good fit for pipelines that analyze published pages without uploading files or raw HTML. Send the URLs, get structured keyword groups back, and use them to identify repeated topics, build content clusters, or surface the terms that matter most across a set of articles.

## Usage

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