NYT Business Articles With Full Text: Article Body Scraper
NYT business articles with full text, pulled from the New York Times Business section feed. Each row returns the article body, paragraph count, and a flag when the body is unusually short, which happens on paywalled pieces, so you know exactly what text you actually received. Good for sentiment analysis, summarising, and news datasets.
Input
Output fields
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The New York Times Scraper: Articles, Feeds and Historical Archive Actor is ready to run with the inputs already set for "NYT Business Articles With Full Text: Article Body Scraper". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
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The New York Times Scraper: Articles, Feeds and Historical Archive Actor will start running based on the input automatically. You can also change all the input fields, like mode, sections, and more, to match your specific use case.
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Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as headline, body, paragraphs, and more.
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The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "NYT Business Articles With Full Text: Article Body Scraper" task via API.
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