Turning URLs into Magic

Turn URLs into summaries, use URLs to find and collect specific content and texts and news titles at scale

Imagine having to summarize or analyze a great amount of content online, or being asked to extract and analyze some bits of content on a specific topic from a great amount of online news articles, or being asked to retrieve and collect the titles or texts of a great number of news online. How can you deal with all these time consuming tasks in an efficient way? Our NLP URL Parser seeks to help you save time and extract and analyze content at scale in just a few steps.

Use URLs to generate summaries

Connexun’s URL parser uses Natural Language Processing (NLP) to automatically generate summaries. Last year it launched the “Summarization” endpoint within the demos section (https://connexun.com/demos/text-analysis-summarization) to allow anyone to generate a summary by merely inserting a url as shown below. The interface allows users to easily customize the length of the summary (1/2/3 or more sentences).

https://connexun.com/demos/text-analysis-summarization

This year Connexun launched the NLP URL Parser on RapidAPI to enable users to automatically generate summaries at scale from URLs: https://rapidapi.com/connexun-srl-connexun-srl-default/api/nlp-url-parser/details. If you are not aware how to use our API do not worry, we have you sorted. Reach us out at: divas.pant@connexun.com. We can set up the solution for you.

Use URLs to find and extract specific structured data at scale

Connexun’s URL parser uses Natural Language Processing (NLP) to automatically find and extract relevant content at scale. We seek to enable anyone to be able to automatically find and extract specific relevant content at scale with the use of URLs. Elaborate extrapolated content by using as input a specific keyword, topic, theme.

https://rapidapi.com/connexun-srl-connexun-srl-default/api/nlp-url-parser/details

  • Detect countries, cities, airports and embassies present in the text

Connexun’s URL parser uses Natural Language Processing (NLP) to automatically detect countries, cities, airports, embassies and other geographic entities present in the text. Customize the ouput as you prefer by merely using URLs. Retrieve content based on geolocation.

Use news URLs and extract all titles of news articles at scale

Connexun’s URL parser uses Natural Language Processing (NLP) to automatically extract the titles of news articles at scale by merely inserting the URLs. What more? With our solution users can now also automatically see the sentiment of the titles, whether the content is positive, negative or neutral. The title is in a foreign language? No worries, we can provide the title translated in English language.

Analyze & categorize extracted content (structured data)

Connexun’s URL parser uses Natural Language Processing (NLP) to automatically obtain relevant content at scale. Once extrapolated, content can be categorized and be put together not merely by topic, but also according to a wide range of different parameters:

  • By country of source;
  • By language;
  • More to come!

We don’t have what you are looking for? Do not hesitate to reach us out at admin@connexun.com and let us do the heavylifting to meet your needs!

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Connexun is the ultimate AI news engine — turning unstructured news content into multi-purpose actionable data.

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Connexun | news api

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Connexun is the ultimate AI news engine — turning unstructured news content into multi-purpose actionable data.

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