The News Aggregators Data Challenge
News aggregators compete on breadth, speed, and editorial lens. Building that stack means ingesting thousands of publishers, deduplicating stories, and surfacing what Reddit is already discussing before traditional outlets catch up. Running direct crawlers is expensive and increasingly blocked in 2026. A structured multi-platform API gives aggregators global coverage plus Reddit community signal with a single contract.
Built for These Teams
- Consumer news apps and curated newsletter operators
- B2B intelligence briefing platforms for executive readers
- AI generated daily briefing products used inside companies
Key Workflows
Topic cluster ingestion
Query Google News for each defined topic every few minutes. Deduplicate articles, cluster by entity and event, and surface cluster leaders into the aggregator feed with metadata that ranking models use to pick representative stories per user session.
Entity centric briefings
For each tracked company, executive, or region, assemble the last 24 hours of coverage. Feed the context into an LLM summarizer that drafts the morning brief, with links and citations preserved so readers can verify and dive deeper when they want.
Multilingual coverage
Pull parallel queries across dozens of locales and languages. Aggregators serve global audiences with native language coverage and cross reference stories that originate outside English sources, an increasingly valued differentiator in 2026.
Video augmented news
Match news clusters with YouTube coverage where available. When a story has significant on the ground video, surface it in the aggregator so readers can move between written analysis and creator or network video seamlessly on one platform.
Why News Aggregators Teams Choose Scavio
- Global publisher breadth through Google News structure
- Fresh ingestion suitable for rapid aggregation cycles
- Multilingual query support for international products
- YouTube and Google search surfaces to enrich briefings
- Predictable pricing at the high request volumes aggregators demand
Quick Start Example
Here is a Python example running a news aggregators query:
import requests
response = requests.post(
"https://api.scavio.dev/api/v1/search",
headers={"x-api-key": "your_scavio_api_key"},
json={
"platform": "google-news",
"query": "us tech regulation hearings this week",
},
)
data = response.json()
# Process results for your news aggregators workflow
for item in data.get("organic_results", data.get("products", []))[:10]:
print(item)Platforms You Will Use
Google News
News search with headlines and sources
Web search with knowledge graph, PAA, and AI overviews
YouTube
Video search with transcripts and metadata
Community, posts & threaded comments from any subreddit
Scavio is designed for teams that need reliable, structured data at scale. Start with the free tier, build your workflow, then scale when you are ready. No lock-in. No complicated setup. Read the quickstart to get your API key and first response in under two minutes.