What is News API by Contify?
The Contify News API compiles, deduplicates, and categorizes company-related information, delivering a continuous flow of clean, organized, machine-readable business and industry news via RESTful APIs, Webhooks, and RSS feeds, which aids in the enhancement of your applications. This API offers structured, noise-free data streams with customized endpoints designed to align with your specific business goals. It sources information from more than 500,000 outlets, such as online news platforms, corporate websites, social media, and specialized sources like regulatory sites, review platforms, and job boards. With the News API, you can seamlessly integrate it into your applications, intranet systems, ERP, CRM, or KMS, allowing you to:
• Implement a robust market and competitive intelligence strategy.
• Develop innovative features or introduce new products that utilize personalized market insights.
• Enrich your analytics initiatives with unprocessed data to uncover industry trends and insights pertinent to your business.
• Utilize high-quality business news datasets to enhance your Artificial Intelligence and Machine Learning training processes. By leveraging the capabilities of the Contify News API, organizations can stay ahead in a rapidly evolving market landscape.
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News API by Contify Customer Reviews
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Business-focused news API that cuts noise
Date: Jan 22 2026SummaryOur experience with the Contify News API has been very positive. It is especially effective for market and competitive intelligence use cases where relevance is more important than raw volume. After the initial setup, the API runs reliably and delivers consistent, high-quality industry news data.
PositiveWhat stood out immediately was the quality of business-first sourcing. The News API doesn’t just aggregate headlines - it deduplicates stories, applies business taxonomy, and delivers clean summaries.
Multilingual coverage is strong and helps us track Europe without translation overhead.NegativeInitial taxonomy alignment takes some planning, especially if you have very specific tracking needs.
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Would you Recommend to Others?1 2 3 4 5 6 7 8 9 10
Clean Business News Data
Updated: Jan 21 2026SummaryOverall, this News API works well for market and competitive intelligence use cases. It focuses on relevance rather than volume, which makes it reliable for ongoing monitoring. Once configured, it runs consistently with minimal maintenance.
PositiveNews API by Contify gives us structured, deduplicated business news that is actually usable. Multilingual coverage helps us track Europe without separate pipelines. AI summaries and highlights reduce the effort needed on our end before pushing data into dashboards.
NegativeSome initial effort is required to align sources and categories with our internal taxonomy.
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Would you Recommend to Others?1 2 3 4 5 6 7 8 9 10
Reliable and flexible news data API for business insights
Date: Jan 28 2026SummaryMy experience with Contify’s News API has been positive and practical for real business use. It reliably delivers structured, business-relevant news data into our systems, reducing the need to build and maintain our own news ingestion pipeline. The API’s coverage, tagging, and AI-enhanced summaries help us power competitor monitoring, risk alerts, and analytics apps more efficiently. I plan to keep using it in our product stack as our needs grow.
PositiveWhat I liked about Contify’s News API is the quality and structure of the data. The API pulls business-relevant news from a wide range of global sources and delivers it in a clean, structured JSON format that’s easy to work with.
The auto-translation of non-English content, deduplication, and AI-generated highlights save us time, and the tagging (companies, events, locations) helps power our internal intelligence dashboards without heavy processing on our side. We also appreciate the flexible query options and webhook support that make integration easy.NegativeThe documentation could be clearer in places, especially with more real-world examples of advanced queries. Fine-tuning filters and large batch requests sometimes require trial and error. Response times for very large data pulls can vary. It would be helpful to have expanded examples covering common edge cases.
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