With Article Data Extractor you will be able to scrape and retrieve all the relevant information from any article you find on the web. Forget about ads, banners and other unessential parts as well. Only receive all the data related to the article of your choice.
Article Data Extractor takes only 1 parameter — the URL of any article or blog. It scrapes and extracts any relevant information such as title, text, published time, media links, and many more. Save time and receive all this data structured so you can filter, query, and store all the information that the web has for you.
This API is perfect for any marketing agency or any news platform that wants to retrieve the most important information from an article. This is the author's name, the text from the article itself, and do not forget about TAGS. With this API all the tags embedded in the article will be available.
Also, this is great to compare what images are using other blogs or news forums in different articles.
So, if you have a large collection of articles, you will be able to filter by author's name, by tag elements, or even by published dates. This API will help you to have your articles better organized. }
Besides API call limitations per month:
Version 2.0 will allow you to parse any article of your choice.
Extract main article and metadata from a news entry or blog post.
Article Data Extractor - Endpoint Features
| Object | Description |
|---|---|
url |
[Required] The URL of the article. |
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{"error":0,"message":"Article extraction success","data":{"url":"https://3dnews.ru/1113045/chatbot-s-ii-anthropic-claude-nauchilsya-analizirovat-dannie-dlya-etogo-on-pishet-i-vipolnyaet-kod","title":"ИИ-чат-бот Anthropic Claude научился анализировать данные — для этого он сам пишет и выполняет код","description":"Компания Anthropic представила новый инструмент для анализа данных, который помогает её чат-боту с искусственным интеллектом Claude давать «математически точные и воспроизводимые ответы».\nДля этого он самостоятельно пишет код на JavaScript и выполняет его, проверяя ответы, которые он даёт пользователям.\nИнструмент, который пока доступен в предварительной версии, позволяет Claude анализировать данные электронных таблиц и файлов PDF, производя вычисления и представляя результаты в виде интерактивных визуализаций.\n«Считайте, что инструмент анализа — это встроенная песочница кода, где Claude может выполнять сложные математические вычисления, анализировать данные и перебирать различные идеи, прежде чем дать ответ.\nClaude мог выполнять эти задачи и раньше, но за отсутствием механизма для математической проверки результатов его ответы не всегда были точными....","links":["https://3dnews.ru/1113045/chatbot-s-ii-anthropic-claude-nauchilsya-analizirovat-dannie-dlya-etogo-on-pishet-i-vipolnyaet-kod"],"image":"https://3dnews.ru/assets/external/illustrations/2024/10/25/1113045/claude.jpg","content":"<div><p>Компания Anthropic представила новый инструмент для анализа данных, который помогает её чат-боту с искусственным интеллектом Claude давать «математически точные и воспроизводимые ответы». Для этого он самостоятельно пишет код на JavaScript и выполняет его, проверяя ответы, которые он даёт пользователям.</p><p id=\"adfox_mob1\" class=\"_revhb-top-1\"></p>\n\t\t\t\t<p id=\"aio-1000017\"></p>\n<img src=\"https://3dnews.ru/assets/external/illustrations/2024/10/25/1113045/claude.jpg\" alt=\" Источник изображения: anthropic.com \" height=\"533\" width=\"800\">\n<p class=\"caption-wrapper\">\n \n</p>\n<p>Инструмент, который пока доступен в предварительной версии, позволяет Claude анализировать данные электронных таблиц и файлов PDF, производя вычисления и представляя результаты в виде интерактивных визуализаций. «Считайте, что инструмент анализа — это встроенная песочница кода, где Claude может выполнять сложные математические вычисления, анализировать данные и перебирать различные идеи, прежде чем дать ответ. Вместо того, чтобы полагаться только на абстрактный анализ, он может систематически обрабатывать данные — очищать, исследовать и анализировать их шаг за шагом, пока не получит правильный ответ», — рассказали в <a href=\"https://www.anthropic.com/news/analysis-tool\" target=\"_blank\" rel=\"nofollow\">Anthropic</a>.</p>\n<p>К примеру, менеджер по продукту может выгрузить данные о продажах и попросить Claude провести анализ показателей по конкретной стране; аналитик может оправить чат-боту ежемесячные финансовые данные и попросить его построить панель мониторинга с ключевыми тенденциями. Claude мог выполнять эти задачи и раньше, но за от&#...
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'
| Header | Description |
|---|---|
Authorization
|
[Required] Should be Bearer access_key. See "Your API Access Key" above when you are subscribed. |
No long term commitments. One click upgrade/downgrade or cancellation. No questions asked.
The Article Data Extractor API is designed to extract relevant information from articles or blogs by providing the URL of the desired webpage. It scrapes and retrieves data such as the article's title, text, published time, media links, and more. The API aims to save time by delivering structured data that can be easily filtered, queried, and stored for further use.
The Article Data Extractor API can extract various types of information from articles or blogs. This includes the article's title, main text content, published time, media links (such as images or videos embedded within the article), and potentially other metadata associated with the article.
The accuracy of data extraction depends on factors such as the structure and quality of the webpage, as well as the consistency of its layout and formatting. The API employs scraping techniques to retrieve information, and its accuracy may vary based on these factors. However, it is designed to provide reliable and relevant data from the provided article or blog URL.
No, at the moment batch requests are not supported. You will have to make one API call per article that you want to extract the data from.
The extracted data from the articles or blogs is typically returned in a structured format, such as JSON. This makes it easier to work with the data programmatically, as you can access specific fields and properties. The API organizes the extracted information in a structured manner, allowing you to filter, query, and store the data as per your requirements.
Zyla API Hub is like a big store for APIs, where you can find thousands of them all in one place. We also offer dedicated support and real-time monitoring of all APIs. Once you sign up, you can pick and choose which APIs you want to use. Just remember, each API needs its own subscription. But if you subscribe to multiple ones, you'll use the same key for all of them, making things easier for you.
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