Extractor de Datos de Artículos API

Esta API es perfecta para aquellos que desean obtener datos estructurados de un artículo en la web. Solo con la URL recibirás una extensa lista de información. ¡Pruébalo!

Sobre la API:

Con Article Data Extractor podrás extraer y recuperar toda la información relevante de cualquier artículo que encuentres en la web. Olvídate de anuncios, banners y otras partes no esenciales también. Solo recibirás todos los datos relacionados con el artículo de tu elección. 

 

¿Qué recibe tu API y qué proporciona tu API (entrada/salida)?

Article Data Extractor toma solo 1 parámetro — la URL de cualquier artículo o blog. Extrae y extrae cualquier información relevante como el título, el texto, la hora de publicación, los enlaces de medios, y muchos más. Ahorra tiempo y recibe todos estos datos estructurados para que puedas filtrar, consultar y almacenar toda la información que la web tiene para ti. 

 

¿Cuáles son los casos de uso más comunes de esta API?

Esta API es perfecta para cualquier agencia de marketing o cualquier plataforma de noticias que quiera recuperar la información más importante de un artículo. Esto incluye el nombre del autor, el texto del artículo en sí, y no olvides las ETIQUETAS. Con esta API todas las etiquetas incrustadas en el artículo estarán disponibles. 

Además, es excelente para comparar qué imágenes están utilizando otros blogs o foros de noticias en diferentes artículos. 

Entonces, si tienes una gran colección de artículos, podrás filtrar por el nombre del autor, por elementos de etiqueta, o incluso por fechas de publicación. Esta API te ayudará a tener tus artículos mejor organizados. }

 

¿Hay alguna limitación con tus planes?

Además de las limitaciones de llamadas a la API por mes:

  • Básico: 3 solicitudes por segundo.
  • Pro: 5 solicitudes por segundo. 

Documentación de la API

Endpoints


La versión 2.0 te permitirá analizar cualquier artículo de tu elección. 

Extraer el artículo principal y los metadatos de una entrada de noticias o publicación de blog.

 
 


                                                                            
GET https://zylalabs.com/api/35/article+data+extractor+api/1880/article+data+extractor
                                                                            
                                                                        

Extractor de Datos de Artículos - Características del Endpoint

Objeto Descripción
url [Requerido] The URL of the article.
Probar Endpoint

RESPUESTA DE EJEMPLO DE LA API

       
                                                                                                        
                                                                                                                                                                                                                            {"error":0,"message":"Article extraction success","data":{"url":"https://9to5google.com/2025/01/24/perplexity-assistant-android/","title":"Perplexity Assistant rivals Gemini for Android as your next action model AI","description":"Another AI assistant is rolling out for Android, but this one brings the promise of real-world value.\nThe Perplexity Assistant is an AI model that can actually hail rides from Uber and perform tasks through apps on your phone.\nPerplexity Assistant is launching today for all Android users on the Google Play Store.\nThe app acts as an AI assistant in much the same way Android users are used to.\nWith the press and hold of the power button, Perplexity AI shows up in the bottom third of your screen....","links":["https://9to5google.com/2025/01/24/perplexity-assistant-android/"],"image":"https://i0.wp.com/9to5google.com/wp-content/uploads/sites/4/2025/01/Perplexity-AI-header-1.jpg?resize=1200%2C628&quality=82&strip=all&ssl=1","content":"<div>\n\t<img width=\"1600\" height=\"800\" src=\"https://9to5google.com/wp-content/uploads/sites/4/2025/01/Perplexity-AI-header-1.jpg?quality=82&amp;strip=all&amp;w=1600\" class=\"skip-lazy wp-post-image\" alt=\"\">\n\n<p>Another AI assistant is rolling out for Android, but this one brings the promise of real-world value. The Perplexity Assistant is an AI model that can actually hail rides from Uber and perform tasks through apps on your phone.</p>\n\n\n\n<p id=\"more-658844\"></p>\n\n\n\n<p>We&#8217;ve seen the promise of LAMs (large action models) before. The idea is an AI model that can perform tasks on a device. To a degree, Google Gemini is both an LLM and an LAM, allowing you to open apps and complete actions throughout your phone, though it has some limits.</p>\n\n\n\n<p>The newest model on the scene seems to be offering Android users an alternative. <a href=\"https://x.com/AravSrinivas/status/1882467172498436291?t=oCDmHUXDRTqq4u51eQnNKA&amp;s=19\">Perplexity Assistant is launching today</a> for all Android users on the <a href=\"https://play.google.com/store/apps/details?id=ai.perplexity.app.android&amp;hl=en_US&amp;pli=1\">Google Play Store</a>. The app acts as an AI assistant in much the same way Android users are used to. With the press and hold of the power button, Perplexity AI shows up in the bottom third of your screen. You have to set it to replace Gemini, of course.</p>\n\n\n\n<p>The most impressive part about Perplexity Assistant is that it&#8217;s able to use Android apps for me outside of a specific ecosystem. While it took some trying and failing, eventually I was able to get it to open Uber and find me a ride to the airport &#8212; something I haven&#8217;t been able to get other assistants to do. It can also play music through Spotify or YouTube, though that isn&#8217;t as exciting. It can, however, book dinner reservations using OpenTable, which is pretty neat.</p>\t<p id=\"div-gpt-ad-outbrain-ad-658844\" class=\"th4e5a5144 th8ed1b1c4\">\n\t\t \n\t</p>\n\t\n\n\n\n<p>As a direct comparison to Gemini, I found that the information it gave me was a little more nuanced. Asking what was in front of me meant that the camera was opened and the assistant analyzed my surroundings, giving me a good, detailed overview of my coffee cup in front of me that was akin to what <a href=\"https://9to5google.com/2025/01/22/pixel-9-new-gemini-live/\">Gemini Live would offer</a> me. It&#8217;s worth noting that it took several tries for the Perplexity Assistant to understand that I wanted it to analyzed what the camera was looking at. This app is not bug-free by any means, but it shows a lot of promise.</p>\n\n\n\n<p>This is something Gemini is able to accomplish in through the Gemini app and wants to furt<a href=\"https://9to5google.com/2025/01/22/pixel-9-new-gemini-live/\">her in upcoming updates</a>, but, for now, it takes a little more manual work to get the answer you need.</p>\n\n\n\n<p>Perplexity Assistant for Android is free on the Google Play Store, and the free subscription will let you use all of the mentioned features. There is a $19.99/month plan for the Perplexity Pro model.</p>\n\t<p class=\"disclaimer-affiliate\">FTC: We use income earning auto affiliate links. <a href=\"https://9to5mac.com/about/#affiliate\">More.</a></p><a href=\"https://bit.ly/3Wl6AUI\"><img class=\"aligncenter size-full wp-image-657492\" src=\"https://9to5google.com/wp-content/uploads/sites/4/2025/01/native-banner-750_150.jpg?quality=82&amp;strip=all\" alt=\"\" width=\"750\" height=\"150\"></a></div>","author":"Andrew Romero, Damien Wilde, Abner Li, Ben Schoon, Google Pixel Pro Fold, Pixel Watch","favicon":"https://9to5google.com/wp-content/themes/ninetofive/dist/svg/9to5-clock.svg","source":"9to5google.com","published":"2025-01-24T00:00:00","ttr":2.08,"plain_text":"Another AI assistant is rolling out for Android, but this one brings the promise of real-world value. The Perplexity Assistant is an AI model that can actually hail rides from Uber and perform tasks through apps on your phone.\n\nWe’ve seen the promise of LAMs (large action models) before. The idea is an AI model that can perform tasks on a device. To a degree, Google Gemini is both an LLM and an LAM, allowing you to open apps and complete actions throughout your phone, though it has some limits.\n\nThe newest model on the scene seems to be offering Android users an alternative. Perplexity Assistant is launching today for all Android users on the Google Play Store. The app acts as an AI assistant in much the same way Android users are used to. With the press and hold of the power button, Perplexity AI shows up in the bottom third of your screen. You have to set it to replace Gemini, of course.\n\nThe most impressive part about Perplexity Assistant is that it’s able to use Android apps for me outside of a specific ecosystem. While it took some trying and failing, eventually I was able to get it to open Uber and find me a ride to the airport — something I haven’t been able to get other assistants to do. It can also play music through Spotify or YouTube, though that isn’t as exciting. It can, however, book dinner reservations using OpenTable, which is pretty neat.\n\nAs a direct comparison to Gemini, I found that the information it gave me was a little more nuanced. Asking what was in front of me meant that the camera was opened and the assistant analyzed my surroundings, giving me a good, detailed overview of my coffee cup in front of me that was akin to what Gemini Live would offer me. It’s worth noting that it took several tries for the Perplexity Assistant to understand that I wanted it to analyzed what the camera was looking at. This app is not bug-free by any means, but it shows a lot of promise.\n\nThis is something Gemini is able to accomplish in through the Gemini app and wants to further in upcoming updates, but, for now, it takes a little more manual work to get the answer you need.\n\nPerplexity Assistant for Android is free on the Google Play Store, and the free subscription will let you use all of the mentioned features. There is a $19.99/month plan for the Perplexity Pro model.","ttr_disclaimer":"Assuming 200 wpm reading speed"}}
                                                                                                                                                                                                                    
                                                                                                    

Article Data Extractor - CÓDIGOS DE EJEMPLO


curl --location --request GET 'https://zylalabs.com/api/35/article+data+extractor+api/1880/article+data+extractor?url=https://www.thestartupfounder.com/use-this-data-extractor-api-to-get-article-data-from-mathrubhumi/' --header 'Authorization: Bearer YOUR_API_KEY' 


    

Clave de Acceso a la API y Autenticación

Después de registrarte, a cada desarrollador se le asigna una clave de acceso a la API personal, una combinación única de letras y dígitos proporcionada para acceder a nuestro endpoint de la API. Para autenticarte con el Extractor de Datos de Artículos API simplemente incluye tu token de portador en el encabezado de Autorización.
Encabezados
Encabezado Descripción
Autorización [Requerido] Debería ser Bearer access_key. Consulta "Tu Clave de Acceso a la API" arriba cuando estés suscrito.

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Extractor de Datos de Artículos API FAQs

La API de Extracción de Datos de Artículos está diseñada para extraer información relevante de artículos o blogs proporcionando la URL de la página web deseada. Extrae y recupera datos como el título del artículo, texto, hora de publicación, enlaces de medios y más. La API tiene como objetivo ahorrar tiempo al entregar datos estructurados que se pueden filtrar, consultar y almacenar fácilmente para un uso posterior.

La API de Extractor de Datos de Artículos puede extraer varios tipos de información de artículos o blogs. Esto incluye el título del artículo, el contenido principal del texto, la hora de publicación, enlaces de medios (como imágenes o videos incrustados en el artículo) y potencialmente otra metadata asociada con el artículo.

La precisión de la extracción de datos depende de factores como la estructura y calidad de la página web, así como de la consistencia de su diseño y formato. La API utiliza técnicas de scraping para recuperar información, y su precisión puede variar según estos factores. Sin embargo, está diseñada para proporcionar datos fiables y relevantes de la URL del artículo o blog proporcionado.

No, en este momento no se admiten solicitudes por lotes. Tendrás que hacer una llamada a la API por cada artículo del que desees extraer los datos.

Los datos extraídos de los artículos o blogs generalmente se devuelven en un formato estructurado, como JSON. Esto facilita el trabajo con los datos de manera programática, ya que puedes acceder a campos y propiedades específicas. La API organiza la información extraída de manera estructurada, permitiéndote filtrar, consultar y almacenar los datos según tus requisitos.

La API devuelve datos estructurados de artículos, incluidos campos clave como el título del artículo, el contenido principal, la hora de publicación, enlaces multimedia (imágenes/videos) y metadatos como etiquetas y nombres de autores. Esto permite a los usuarios acceder y utilizar fácilmente información relevante.

Los datos de respuesta están organizados en un formato JSON, que incluye un campo "error" que indica éxito o fracaso, un campo "mensaje" para actualizaciones de estado, y un objeto "data" que contiene los detalles del artículo extraído. Esta estructura facilita el análisis y la integración en aplicaciones.

Los campos clave en los datos de respuesta incluyen "url" (el enlace del artículo), "título" (el título del artículo), "descripción" (un resumen del contenido), "enlaces" (enlaces de medios), "imagen" (imagen destacada) y "contenido" (el texto principal del artículo). Estos campos proporcionan información completa para el análisis.

La API puede extraer varios tipos de información, incluidos el título del artículo, el texto principal, la fecha de publicación, el nombre del autor, las etiquetas y los enlaces de medios. Esto la hace adecuada para el análisis de contenido, la investigación de mercado y la organización de datos.

Los usuarios pueden personalizar sus solicitudes proporcionando diferentes URL de artículos a la API. Cada URL generará datos específicos basados en el contenido de ese artículo, lo que permite a los usuarios adaptar su extracción de datos a sus necesidades.

Los casos de uso típicos incluyen la agregación de contenido para plataformas de noticias, análisis competitivo para agencias de marketing y investigación para propósitos académicos. Los usuarios pueden filtrar artículos por autor, etiquetas o fechas de publicación para una mejor organización.

La precisión de los datos se mantiene a través de las técnicas de raspado de la API, que están diseñadas para extraer información relevante de artículos bien estructurados. Sin embargo, la precisión puede variar según el diseño y la calidad de la página web.

Los usuarios pueden utilizar los datos devueltos al integrarlos en sus aplicaciones para la gestión de contenido, el análisis o la elaboración de informes. El formato JSON estructurado permite un fácil filtrado, consulta y almacenamiento, mejorando la usabilidad de los datos.

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