Best News API for Developers

NewsCatcher vs GDELT Project: full comparison for 2026

Quick verdict

NewsCatcher (4.7/5) edges ahead of GDELT Project (3.9/5) overall. NewsCatcher is the better choice for developers who want clean, deduplicated news without writing post-processing. GDELT Project is the stronger option for zero-budget data projects and research prototypes. The right pick depends on your budget, how much history you need and whether you need full text.

NewsCatcher vs GDELT Project: head-to-head summary

Criterion NewsCatcher GDELT Project
Founded 2020 2013
HQ Middletown, Delaware, USA (registered); team mostly in Europe Open research project (no commercial HQ)
Team size 11–50 Not publicly disclosed
Rating 4.7 / 5 3.9 / 5
Primary differentiator Summaries, story clusters, entities and geotags arrive in the response, so the processing code you would otherwise write is already done No key, no fee and global coverage refreshed every 15 minutes
Pricing model Custom quote; pay-as-you-go trial Free
Entry price Custom quote Free
Formats & SDKs REST API, JSON, Python SDK REST API, JSON, CSV
Typical uses AI & LLM apps, Media monitoring, Risk & compliance, Financial services Research & academia, Risk & compliance, Media monitoring

NewsCatcher vs GDELT Project: overview

NewsCatcher

Most news APIs hand you raw articles and leave the cleanup to you. NewsCatcher, a Y Combinator Summer 2022 company founded by Artem Bugara and Maksym Sugonyaka (registered in Delaware, team mostly in Europe), does that cleanup on its side: articles come back summarised, deduplicated, clustered into stories and tagged with entities. Version 3 of the API covers 140,000+ sources in 50+ languages with more than 2 billion articles since 2019 (per company website; independently unverifiable), and a separate Local News endpoint adds a location and a confidence score to each story. Official SDKs exist for Python, Node and Java, and the company reports SOC 2 Type II and a 99.95% uptime SLA. The catch for a solo developer is price discovery: there is a pay-as-you-go trial, but production plans are quoted by sales.

GDELT Project

The GDELT Project, created by Kalev Leetaru, watches broadcast, print and web news in more than 65 languages and publishes fresh data every 15 minutes. The DOC 2.0 API needs no key and no signup, which makes it the fastest free start here, and it returns article lists and timelines for a query. Bulk event and knowledge-graph tables are also available in Google BigQuery for SQL users. Two things trip developers up. Responses contain metadata and links only, so you have to fetch and parse each article yourself, and the data formats were designed for researchers, with field names and conventions that take some reading to understand.

Features: NewsCatcher vs GDELT Project

Capability NewsCatcher GDELT Project
Full article text ✓ ✗
Historical archive ✓ ✓
NLP enrichment ✓ ✓
Story/event clustering ✓ ✗
Official SDK ✓ ✗
Streaming or webhooks ✓ ✗
Free access ✓ ✓

Formats and SDKs: NewsCatcher vs GDELT Project

Format / SDK NewsCatcher GDELT Project
REST API ✓ ✓
Python SDK ✓ N/A
Node.js SDK ✓ N/A
Webhooks ✓ N/A
WebSocket N/A N/A
MCP server N/A N/A
S3/bulk delivery ✓ N/A
BigQuery N/A ✓

Pricing comparison: NewsCatcher vs GDELT Project

Criterion NewsCatcher GDELT Project
Entry price Custom quote Free
Pricing model Custom quote; pay-as-you-go trial Free
Access models Free trial, Pay-as-you-go, Enterprise contract Open data
Price transparency Quote only Public price
Price tier Enterprise / quote Free

Who each API suits: NewsCatcher vs GDELT Project

Dimension NewsCatcher GDELT Project
Buyer type Individuals to enterprise Individuals to enterprise
Typical uses AI & LLM apps, Media monitoring, Risk & compliance Research & academia, Risk & compliance, Media monitoring
Example use cases Retrieval for an AI agent that should not see five copies of the same story. A regional news or local-risk feature that needs geotagged articles. A free signal source that tells you which articles to fetch. Geopolitical dashboards in BigQuery.
How you get access Free trial Open data

NewsCatcher vs GDELT Project: pros and cons

NewsCatcher
+ Deduplication and story clustering run server-side, so you skip writing your own similarity matching
+ Three official SDKs (Python, Node, Java) plus webhooks and S3 delivery
+ The Local News endpoint returns a place name with a 0–10 confidence score per article
+ SOC 2 Type II and an uptime SLA make the security questionnaire shorter when the project goes to production
+ It publishes a recall comparison against other APIs, though the vendor ran the test itself
- You cannot see production prices without talking to sales
- History begins in 2019, so long backfills need another source
- A small company is behind the enterprise SLA
GDELT Project
+ You can call it right now with no account
+ BigQuery tables let you query years of events with SQL
+ Machine-translated coverage in 65+ languages
+ Event coding of who did what to whom suits geopolitical work
- No article text, only links and derived fields
- No SLA or support channel
- Research-style schemas take time to learn

Who should choose NewsCatcher?

A typical fit: retrieval for an AI agent that should not see five copies of the same story.

Summaries, story clusters, entities and geotags arrive in the response, so the processing code you would otherwise write is already done. Paid access is quote-based. Typical uses: AI & LLM apps, Media monitoring, Risk & compliance, Financial services.

Who should choose GDELT Project?

A typical fit: a free signal source that tells you which articles to fetch.

No key, no fee and global coverage refreshed every 15 minutes. Paid access starts at Free. Typical uses: Research & academia, Risk & compliance, Media monitoring.

Decision matrix: NewsCatcher vs GDELT Project

Your situation Recommended choice
You want to start free before paying Both
Your budget is at the lower end GDELT Project
You need full article text in the response NewsCatcher
You need years of historical news Both
You want an official SDK NewsCatcher
You are wiring news into an LLM agent NewsCatcher

Use case fit: NewsCatcher vs GDELT Project

Use case NewsCatcher fit GDELT Project fit Winner
AI & LLM apps Strong Limited NewsCatcher
Media monitoring Strong Strong Both equally
Risk & compliance Strong Strong Both equally
Financial services Strong Limited NewsCatcher
Research & academia Limited Strong GDELT Project

Verdict: NewsCatcher vs GDELT Project

NewsCatcher (4.7/5) is the stronger overall choice as a news data source. Summaries, story clusters, entities and geotags arrive in the response, so the processing code you would otherwise write is already done.

GDELT Project (3.9/5) is worth a look if you need geopolitical dashboards in BigQuery. If your situation matches that, GDELT Project is a competitive option.

Related comparisons

NewsCatcher vs GDELT Project FAQ

Is NewsCatcher better than GDELT Project?

NewsCatcher (4.7/5) scores higher overall, but "better" depends on your use case. NewsCatcher's strongest advantage: deduplication and story clustering run server-side, so you skip writing your own similarity matching. GDELT Project's strongest advantage: you can call it right now with no account.

How do NewsCatcher and GDELT Project differ in pricing?

NewsCatcher: custom quote; pay-as-you-go trial, priced by quote. GDELT Project: free, with paid access from Free. Both offer some free access for testing.

Which is better for enterprise: NewsCatcher or GDELT Project?

NewsCatcher sells enterprise contracts with negotiated volume and SLA terms. Neither carries licensed publisher content, so check copyright terms before republishing anything.

What are the main differences between NewsCatcher and GDELT Project?

What sets NewsCatcher apart: Summaries, story clusters, entities and geotags arrive in the response, so the processing code you would otherwise write is already done. What sets GDELT Project apart: no key, no fee and global coverage refreshed every 15 minutes. They also differ on entry price (Custom quote vs Free) and typical uses (AI & LLM apps, Media monitoring vs Research & academia, Risk & compliance).

Verify all details directly with each API before making a decision.