We’re thrilled to share that Reworkd is officially partnering with NewsCatcher, enabling our customers to instantly access news data from 90,000 sources.

At Reworkd, we specialize in automating web data extraction using LLMs to generate and maintain scraping pipelines based on customer-defined schemas. This approach eliminates the need for in-house engineering teams to handle the complexities of building and updating web data pipelines, saving both time and costs for large-scale operations. By partnering with NewsCatcher, we can now ensure our offering goes beyond data extraction - providing near-real-time, high-quality news data integrated with broader web data sources.

NewsCatcher’s team understands the challenges of gathering and structuring news data across multiple sources. Their pipelines are designed to deliver clean, structured, and enriched near-real-time news data, helping organizations make data-driven decisions. This partnership enhances their ability to maintain a robust and scalable solution for extracting data at scale beyond just news.

“Our partnership with Reworkd supports our mission to deliver actionable news data with unmatched reliability and scale. By combining our expertise in news enrichment with Reworkd’s advanced automation, we’re creating a seamless experience for our customers, helping them unlock value faster and more effectively.”

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Artem Bugara

CEO of NewsCatcher

About Reworkd

At Reworkd, we're working on multimodal LLM agents that serve as the simplest way to extract web data at scale. Customers come to us with lists of 100s to 1000s of websites along with a data schema. Our agents traverse these websites, understand their structure, and generate code to extract data from them. We've been working on LLM agents since their inception and have received over 30k stars on GitHub and more than one million users across our products.

About NewsCatcher

NewsCatcher provides clean, near-real-time news from 90,000+ global and hyper-local sources, enriched with NLP techniques like sentiment analysis, entity detection, and precise tagging. Our LLM-tuned pipelines deliver accurate, relevant, and tailored data with low false positives, reducing post-processing and ensuring your AI models have accurate, comprehensive information.