GDELT Project vs Diffbot: full comparison for 2026
Quick verdict
GDELT Project (4.0/5) edges ahead of Diffbot (3.8/5) overall. GDELT Project is the better choice for researchers and data scientists with no budget. Diffbot is the stronger option for teams building custom news collection from chosen sites. The right pick depends on your budget, how much history you need and whether you need full text.
GDELT Project vs Diffbot: head-to-head summary
| Criterion | GDELT Project | Diffbot |
|---|---|---|
| Founded | 2013 | 2008 |
| HQ | Open research project (no commercial HQ) | Menlo Park, California, USA |
| Team size | Not publicly disclosed | 11–50 |
| Rating | 4.0 / 5 | 3.8 / 5 |
| Primary differentiator | Free global coverage with 15-minute updates and BigQuery access | Turns any article URL into clean structured data linked to a Knowledge Graph |
| Pricing model | Free | Monthly credit plans |
| Entry price | Free | $299/mo |
| Formats & SDKs | REST API, JSON, CSV | REST API, JSON, Python SDK |
| Typical uses | Research & academia, Risk & compliance, Media monitoring | AI & LLM apps, Research & academia, Marketing & PR, Financial services |
GDELT Project vs Diffbot: overview
GDELT Project
The GDELT Project, created by Kalev Leetaru, is an open research database that monitors broadcast, print and web news worldwide in more than 65 languages and publishes updates every 15 minutes. Its DOC 2.0 API searches recent coverage and returns article lists and timelines, while bulk event and knowledge-graph files can be queried in Google BigQuery. The main APIs are free and need no key. What you get back is metadata and links, so you still have to fetch and parse each page yourself.
Diffbot
Diffbot was founded in 2008 by Mike Tung and is based in Menlo Park, California, with an estimated 30–40 employees. It uses computer vision and NLP to extract structured articles from any web page, and its Knowledge Graph links articles to organisations, people and topics so it can be queried as a news source. A free plan includes 10,000 credits at five calls a minute, the Startup plan costs $299 a month for 250,000 credits, and exporting one Knowledge Graph entity costs 25 credits. Teams that want to assemble their own news collection get more from it than teams wanting a ready-made feed.
Features: GDELT Project vs Diffbot
| Capability | GDELT Project | Diffbot |
|---|---|---|
| Full article text | ✗ | ✓ |
| Historical archive | ✓ | ✓ |
| NLP enrichment | ✓ | ✓ |
| Story/event clustering | ✗ | ✗ |
| Licensed publisher content | ✗ | ✗ |
| Streaming or webhooks | ✗ | ✗ |
| Free access | ✓ | ✓ |
Formats and SDKs: GDELT Project vs Diffbot
| Format / SDK | GDELT Project | Diffbot |
|---|---|---|
| REST API | ✓ | ✓ |
| Python SDK | N/A | ✓ |
| Node.js SDK | N/A | N/A |
| Webhooks | N/A | N/A |
| WebSocket | N/A | N/A |
| MCP server | N/A | N/A |
| S3/bulk delivery | N/A | N/A |
| BigQuery | ✓ | N/A |
Pricing comparison: GDELT Project vs Diffbot
| Criterion | GDELT Project | Diffbot |
|---|---|---|
| Entry price | Free | $299/mo |
| Pricing model | Free | Monthly credit plans |
| Access models | Open data | Free tier, Monthly plans, Enterprise contract |
| Price transparency | Public price | Public price |
| Price tier | Free | Mid-market |
Who each API suits: GDELT Project vs Diffbot
| Dimension | GDELT Project | Diffbot |
|---|---|---|
| Buyer type | Individuals to enterprise | Individuals to enterprise |
| Typical uses | Research & academia, Risk & compliance, Media monitoring | AI & LLM apps, Research & academia, Marketing & PR |
| Example use cases | Academic studies of global media coverage. Geopolitical risk dashboards built in BigQuery. | Monitoring a fixed list of niche publications. Enriching articles with company and people data. |
| How you get access | Open data | Free tier |
GDELT Project vs Diffbot: pros and cons
| GDELT Project | |
|---|---|
| + | Completely free, bulk files and BigQuery tables included |
| + | Machine-translated coverage across 65+ languages, which is rare at any price |
| + | Event coding (who did what to whom, and where) supports geopolitical analysis |
| + | Fresh data every 15 minutes |
| - | No full article text, only URLs, metadata and derived signals |
| - | No SLA, commercial support or guaranteed uptime |
| - | Research-grade data structures take time to understand |
| Diffbot | |
|---|---|
| + | Extraction handles almost any news layout without custom parsers |
| + | The Knowledge Graph connects coverage to companies and people |
| + | A free plan with 10,000 credits and no card |
| + | Crawlbot can follow the specific publishers you pick |
| - | Knowledge Graph exports cost 25 credits per entity, which adds up |
| - | You assemble the news feed yourself instead of receiving one |
| - | The $299 Startup plan is high for small projects |
Who should choose GDELT Project?
A typical fit: academic studies of global media coverage.
Free global coverage with 15-minute updates and BigQuery access. Paid access starts at Free. Typical uses: Research & academia, Risk & compliance, Media monitoring.
Who should choose Diffbot?
A typical fit: monitoring a fixed list of niche publications.
Turns any article URL into clean structured data linked to a Knowledge Graph. Paid access starts at $299/mo. Typical uses: AI & LLM apps, Research & academia, Marketing & PR, Financial services.
Decision matrix: GDELT Project vs Diffbot
| 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 | Diffbot |
| You need years of historical news | Both |
| You need licensed premium or wire content | Neither; look at Factiva, AP or LexisNexis |
| You are wiring news into an LLM agent | Both work through plain REST calls |
Use case fit: GDELT Project vs Diffbot
| Use case | GDELT Project fit | Diffbot fit | Winner |
|---|---|---|---|
| Research & academia | Strong | Strong | Both equally |
| Risk & compliance | Strong | Limited | GDELT Project |
| Media monitoring | Strong | Limited | GDELT Project |
| AI & LLM apps | Limited | Strong | Diffbot |
| Marketing & PR | Limited | Strong | Diffbot |
| Financial services | Limited | Strong | Diffbot |
Verdict: GDELT Project vs Diffbot
GDELT Project (4.0/5) is the stronger overall choice as a news data source. Free global coverage with 15-minute updates and BigQuery access.
Diffbot (3.8/5) is worth a look if you need enriching articles with company and people data. If your situation matches that, Diffbot is a competitive option.
Related comparisons
GDELT Project vs Diffbot FAQ
Is GDELT Project better than Diffbot?
GDELT Project (4.0/5) scores higher overall, but "better" depends on your use case. GDELT Project's strongest advantage: completely free, bulk files and BigQuery tables included. Diffbot's strongest advantage: extraction handles almost any news layout without custom parsers.
How do GDELT Project and Diffbot differ in pricing?
GDELT Project: free, with paid access from Free. Diffbot: monthly credit plans, with paid access from $299/mo. Both offer some free access for testing.
Which is better for enterprise: GDELT Project or Diffbot?
Diffbot 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 GDELT Project and Diffbot?
What sets GDELT Project apart: free global coverage with 15-minute updates and BigQuery access. What sets Diffbot apart: turns any article URL into clean structured data linked to a Knowledge Graph. They also differ on entry price (Free vs $299/mo) and typical uses (Research & academia, Risk & compliance vs AI & LLM apps, Research & academia).
Verify all details directly with each API before making a decision.