The Web Article Parser API is a powerful tool for extracting clean text and other structured data from news and blog articles. With this API, you can quickly and easily get rid of ads, links, and other unwanted content, and focus on the main content of the article.
The API uses advanced natural language processing (NLP) techniques to extract relevant information from articles, including the text of the article itself, authors, dates, and other metadata. This information is then returned in a structured format, making it easy to use for data analysis and NLP applications.
The API is designed to be user-friendly and easy to integrate, so you can start using it right away. Whether you're a data analyst looking to perform sentiment analysis on news articles, or a developer looking to build a custom news aggregator, the Content Scraper API has everything you need.
With its fast and efficient extraction process, you can quickly process large amounts of articles and extract the information you need. So why wait? Sign up for the Web Article Parser API today and start getting the most out of your news and blog articles. From clean text to structured data, this API has you covered.
Pass the URL of the article from where you want to extract its content.
News Aggregation: The API can be used to extract the main text and structured data from news articles to build custom news aggregators.
Sentiment Analysis: The API can extract clean text from articles to perform sentiment analysis and determine the overall sentiment expressed in news articles.
Content Recommendation: The API can extract article text and metadata to create content-based recommendation systems for users.
Data Analysis: The API can extract structured data from articles, such as authors, dates, and keywords, to perform data analysis on news and blog articles.
Text Summarization: The API can extract the main text from articles to create text summaries, making it easier for users to quickly understand the content of articles.
Besides the number of API calls, there are no other limitations
Article Extraction Endpoint
Text Extractor - Endpoint Features
Object | Description |
---|---|
url |
[Required] The URL of the article. |
{"error":0,"message":"Article extraction success","data":{"url":"https://www.drmax.sk/beautyclub/neustale-bojujete-s-chutou-na-sladke-dovodov-moze-byt-viacero","title":"Neustále bojujete s chuťou na sladké? Dôvodov môže byť viacero","description":"Ak sa snažíte žiť zdravo, sledujete obsah svojho jedálnička, dobre spíte a pravidelne sa hýbete, no napriek tomu všetkému sa neviete zbaviť „mlsného“ jazýčka, možno vám chce vaše telo niečo naznačiť.\nNeodolateľná túžba po sladkostiach, sladených nápojoch, ale aj chlebe, cestovinách či tučných syroch môže maskovať jeho snahu čo najrýchlejšie doplniť stratené zásoby energie.\nV prípade, že chcete predchádzať záchvatom vlčieho hladu, mali by ste sa zamyslieť, čo by mohlo byť jeho ozajstnou príčinou....","links":["https://www.drmax.sk/beautyclub/neustale-bojujete-s-chutou-na-sladke-dovodov-moze-byt-viacero"],"image":"https://backend.drmax.sk/media/amasty/blog/zena_s_cukr_kmi.jpg","content":"<div><p class=\"text\">Ak sa snažíte žiť zdravo, sledujete obsah svojho jedálnička, dobre spíte a pravidelne sa hýbete, no napriek tomu všetkému sa neviete zbaviť „mlsného“ jazýčka, možno vám chce vaše telo niečo naznačiť. Neodolateľná túžba po sladkostiach, sladených nápojoch, ale aj chlebe, cestovinách či tučných syroch môže maskovať jeho snahu čo najrýchlejšie doplniť stratené zásoby energie. V prípade, že chcete predchádzať záchvatom vlčieho hladu, mali by ste sa zamyslieť, čo by mohlo byť jeho ozajstnou príčinou.</p></div>","author":"Redakcia Beautyclub Dr.Max, Mgr. Daniela Tomčíková, O Autorovi, Čítať Viac Od Autora","favicon":"/favicon.ico","source":"www.drmax.sk","published":"Unknown Date","ttr":0.36,"plain_text":"Ak sa snažíte žiť zdravo, sledujete obsah svojho jedálnička, dobre spíte a pravidelne sa hýbete, no napriek tomu všetkému sa neviete zbaviť „mlsného“ jazýčka, možno vám chce vaše telo niečo naznačiť. Neodolateľná túžba po sladkostiach, sladených nápojoch, ale aj chlebe, cestovinách či tučných syroch môže maskovať jeho snahu čo najrýchlejšie doplniť stratené zásoby energie. V prípade, že chcete predchádzať záchvatom vlčieho hladu, mali by ste sa zamyslieť, čo by mohlo byť jeho ozajstnou príčinou.","ttr_disclaimer":"Assuming 200 wpm reading speed"}}
curl --location --request GET 'https://zylalabs.com/api/4569/web+article+parser+api/5622/text+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 Web Article Parser API is a tool that allows users to extract textual content from web pages. It is designed to retrieve and process the main body of text from articles, blogs, and other web content, filtering out irrelevant elements like advertisements, navigation menus, and sidebars.
The Web Article Parser API accepts URLs as input in JSON format and returns the extracted content in JSON format. The output typically includes the main text, title, author, publication date, and other relevant metadata.
Access to the Web Article Parser API is authenticated using API keys. You need to sign up for an API key through our developer portal. Once you have your key, include it in the header of your HTTP requests using the Authorization parameter.
The Web Article Parser API supports multiple languages and can process web pages with various character encodings. The API automatically detects the language and encoding of the input web page and returns the extracted content in UTF-8 format.
The Web Article Parser API employs advanced algorithms and machine learning techniques to accurately extract the main text from web pages. While it achieves high accuracy, the extraction quality can vary depending on the complexity and structure of the web page.
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