CatchAll by NewsCatcher

Name: CatchAll by NewsCatcher
Brand: CatchAll
Price: 10 USD

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Generate custom, AI-powered news datasets for research and analysis.

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Tracked since2026

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The Bottom Line

Entry price

Free plan available, paid tiers above

Biggest pro

Highly customizable news dataset creation

Biggest con

No free tier available for testing

TL;DR - CatchAll by NewsCatcher

Generates custom, AI-powered news datasets.
Allows precise filtering by keywords, topics, and sources.
Ideal for research, market analysis, and AI model training.

Pricing: Free plan available

Best for: Growing teams

What is CatchAll by NewsCatcher?

Editorial review

CatchAll by NewsCatcher is an AI-powered platform designed for generating highly specific news datasets. It allows users to define custom criteria, including keywords, topics, and sources, to create tailored news feeds and datasets. This tool is ideal for researchers, data scientists, and businesses that require precise and up-to-date news information for market analysis, trend spotting, academic research, or competitive intelligence. The platform leverages advanced AI to filter and categorize news, ensuring that the generated datasets are relevant and accurate. Users can specify the time range for their data, choose from a wide array of news sources, and apply sophisticated filtering logic to refine their results. The output can be used for various applications, from training AI models to powering internal dashboards and reports, providing a flexible solution for diverse data needs.

Available on: Web

LCLouis CorneloupUpdated May 26, 2026 · how we evaluateSourceplatform.newscatcherapi.com ↗

Pros & Cons

Pros

Highly customizable news dataset creation
Leverages AI for improved relevance and accuracy
Supports a wide range of use cases from research to business intelligence
Access to a vast array of news sources

Cons

No free tier available for testing
Requires technical understanding for optimal use of custom criteria

Key Features

Custom news dataset generationAI-powered news filtering and categorizationKeyword-based searchTopic-based filteringSource selection and filteringTime range specification for dataData export capabilities

Pricing Plans

Free Trial

Pricing checked Aug 24, 2026

Free

1 user
1 project
100 MB storage
Basic features

Basic

$10 / mo

5 users
5 projects
1 GB storage
Advanced features

Pro

$25 / mo

Unlimited users
Unlimited projects
10 GB storage
All features
Priority support

Calculate your cost View full pricing

Is CatchAll by NewsCatcher worth the price?

85/100

CatchAll by NewsCatcher offers a fair pricing structure, especially with the generous Pro tier at $25/month for unlimited users and projects.

The Basic tier at $10/month provides good value for small teams. This pricing is best for individuals and small to medium-sized businesses needing robust news data analysis without breaking the bank.

Hidden Costs & Gotchas

Potential overage fees for storage beyond tier limits

No clear mention of API access limits

Yearly billing discount not specified

How CatchAll by NewsCatcher Compares to Competitors

Compared to DataDome, which can start at several hundred dollars per month for similar data analysis, CatchAll's Pro tier at $25/month is significantly more affordable. While Meltwater offers broader media monitoring, its entry-level plans are often in the thousands, making CatchAll a budget-friendly alternative for AI-powered news datasets.

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CatchAll by NewsCatcher FAQ

What kind of custom criteria can I use to generate a news dataset with CatchAll?

CatchAll allows you to define custom criteria such as specific keywords, topics, and a selection of news sources. You can also specify a particular time range for the news articles you want to include in your dataset, enabling highly targeted data collection.

How does CatchAll ensure the relevance and accuracy of the news data it generates?

CatchAll utilizes advanced AI algorithms to filter and categorize news content. This AI-powered approach helps in identifying and delivering news articles that precisely match your defined criteria, thereby ensuring high relevance and accuracy in the generated datasets.

Can I integrate the news datasets generated by CatchAll into my existing applications or dashboards?

While the platform generates datasets, the specific methods for integration (e.g., API access, export formats) would depend on the platform's capabilities. Generally, such datasets are designed to be exportable and usable in various applications, including for training AI models or populating internal dashboards.

What are some typical use cases for the custom news datasets created by CatchAll?

Typical use cases include market analysis, competitive intelligence, academic research, trend spotting, sentiment analysis, and training machine learning models that require specific and up-to-date news information.

Source: platform.newscatcherapi.com

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