This API lets you extract high-frequency keywords, key phrases and latent semantic keywords from any URL.
Analyse Keywords API is a hosted service that extracts and groups keywords from one to ten publicly accessible article URLs. It accepts a list of URLs along with optional tuning parameters, an article_length hint and a return_results_top limit, and returns ranked keyword groups scored by relevance.
For each processed URL, the response includes latent semantic keywords, high-frequency keywords with occurrence counts, high-frequency keyphrases with occurrence counts, and a short content preview. Results can also be aggregated across all submitted URLs into a combined result set.
The service is aimed at editorial workflows, content research, and SEO tooling that need to compare articles by topic, cluster related terms across a content library, or surface recurring themes across a batch of pages. Because it only accepts public article URLs rather than file or HTML uploads, it fits pipelines built around analyzing already-published web content. It is offered as a single POST endpoint, currently at version 1.0.0.
Up to 10 publicly accessible article URLs; any extras beyond that are ignored.
No, the input is limited to publicly accessible article URLs, so it analyzes published pages without file or raw HTML uploads.
It returns a data object with individual_results per URL containing latent semantic keywords, high-frequency keywords and keyphrases with counts, and a content preview, plus an aggregated_results field that is null unless aggregation is requested.
It's built for editorial workflows, content research, and SEO tooling that need grouped keyword terms across articles rather than a flat keyword list.
Requests are authenticated with an apy-token header containing your API key.
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