Research, competitive intelligence, and market monitoring all require pulling data from multiple sources and merging it into a unified view. Single-platform tools create blind spots. The best multi-source aggregation tools combine web search, social signals, marketplace data, and video content through one API or integration.
Top Pick
Scavio aggregates data from Google, Amazon, YouTube, Walmart, and Reddit through one API at $0.005/credit, eliminating the need to manage five separate data source integrations.
Full Ranking
#1Our Pick
Scavio
Teams aggregating web, social, and marketplace data
Pros
- Five platforms in one API call pattern
- Structured JSON from all sources
- Hosted MCP for agent aggregation
- 250 free/mo
- Consistent schema across platforms
Cons
- Five platforms (not unlimited sources)
- No custom data source connectors
- Search results (not full page content)
#2
Apify
Teams needing custom scraping for any source
Pros
- 1,000+ pre-built actors
- Custom actor development
- Proxy infrastructure
- Scheduled runs
Cons
- $29/mo for basic paid
- Actor reliability varies
- Each source needs separate actor
- Complex credit consumption model
#3
Make.com
Non-technical teams aggregating via visual workflows
Pros
- Visual workflow builder
- 1,000+ app connections
- Scheduling built-in
- Free tier available
Cons
- 1K free ops is limited
- Per-operation pricing adds up
- Rate limited on free tier
- Not optimized for search data
#4
n8n
Technical teams self-hosting aggregation workflows
Pros
- Open source self-hosted option
- Community nodes for many sources
- AI workflow capabilities
- Full code access
Cons
- EUR 24/mo for cloud
- Self-hosted needs infrastructure
- Each source needs separate node
- Maintenance overhead
#5
DataForSEO
Developers aggregating SEO-focused data
Pros
- Very low per-request cost
- SERP + keyword + backlink data
- Multiple search engines
- API-first design
Cons
- $50 minimum deposit
- SEO-focused (not general aggregation)
- No social or marketplace data
- Complex API surface
Side-by-Side Comparison
| Criteria | Scavio | Runner-up | 3rd Place |
|---|---|---|---|
| Built-in Sources | 5 platforms (one API) | 1,000+ actors (separate) | 1,000+ apps (separate) |
| Setup per Source | Same API, different endpoint | Configure each actor | Configure each scenario |
| Schema Consistency | Consistent JSON schema | Varies per actor | Varies per app |
| Cost | $0.005/credit | $29/mo + credits | $9/mo + per-op |
| Agent Integration | MCP hosted | API available | Webhook/API |
| Free Tier | 250/mo renewing | $5 one-time | 1K ops/mo |
Why Scavio Wins
- One API, five platforms, consistent schema. Apify and Make.com require separate configurations for each data source; Scavio uses the same API pattern for Google, Amazon, YouTube, Walmart, and Reddit.
- MCP integration turns multi-source aggregation into an agent-native capability. Agents can query all five platforms in a single reasoning session.
- $0.005/credit for any platform. No per-source pricing differences or complex credit models. Amazon search costs the same as Google search.
- No infrastructure to manage. Apify actors need monitoring, n8n self-hosted needs servers; Scavio is a hosted API.