![]() ![]() "Paris' Eiffel Tower is reportedly badly in need of repairs - CNN" Some 30% of the tower was supposed to have been stripped and then have two new coats applied but delays to the work caused by the COVID pandemic and the presence of lead in the old paint means only 5% will be treated, Marianne said.", Related content The couple who met at the top of the Eiffel Tower\n\nThe company that oversees the tower, Societe d'Exploitation de la Tour Eiffel (SETE), could not be immediately reached for comment.\n\nThe tower is currently undergoing a repaint costing 60 million euros in preparation of the 2024 Olympics, the 20th time the Tower has been repainted.\n\n However, confidential reports by experts cited by Marianne suggest the monument is in a poor state and riddled with rust.\n\n\"It is simple, if Gustave Eiffel visited the place he would have a heart attack,\" one unnamed manager at the tower told Marianne.\n\n #Article url extractor full#"text": "The Eiffel Tower is riddled with rust and in need of full repairs, but instead it is being given a cosmetic 60 million euro paint job ahead of the 2024 Olympic Games in Paris,Īccording to confidential reports cited by French magazine Marianne.\n\nThe wrought-iron 324-meter (1,063 ft) high tower, built by Gustave Eiffel in the late 19th century, is among the most visited tourist sites in the world, welcoming about six million visitors each year.\n\n "title": "Eiffel Tower is reportedly badly in need of repairs", "published_method_found": "Extracted from tag:\n", You will be receiving all the information related to this article. Using this endpoint is very easy, it just takes 1 parameter, the URL of the Blog/Article. }Īre there any limitations with your plans? This API will help you to have your articles better organized. 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. With this API all the tags embedded in the article will be available.Īlso, this is great to compare what images are using other blogs or news forums in different articles. This is the author's name, the text from the article itself, and do not forget about TAGS. This API is perfect for any marketing agency or any news platform that wants to retrieve the most important information from an article. What are the most common uses cases of this API? Save time and receive all this data structured so you can filter, query, and store all the information that the web has for you. It scrapes and extracts any relevant information such as title, text, published time, media links, and many more. What your API receives and what your API provides (input/output)?Īrticle Data Extractor takes only 1 parameter - the URL of any article or blog. Only receive all the data related to the article of your choice. Forget about ads, banners and other unessential parts as well. If 'href' in l.attrs and 'article/' in l.With Article Data Extractor you will be able to scrape and retrieve all the relevant information from any article you find on the web. (Python's list comprehension is my favorite syntax for filtering.)Ī possible solution: from bs4 import BeautifulSoupīSoup = BeautifulSoup(ntent, 'html.parser') ![]() You can filter the links so that only the ones containing article/ remain. ![]()
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