AI agents that only search the web miss YouTube videos, Amazon products, Reddit discussions, and TikTok content. Multi-platform data APIs give agents broader grounding by covering several data sources through one integration. We ranked five options by platform count, pricing, and agent compatibility.
Top Pick
Scavio covers six platforms (Google, YouTube, Amazon, Walmart, Reddit, TikTok) behind one API key at $0.005 per credit. No other search API matches this platform breadth at this price point.
Full Ranking
#1Our Pick
Scavio
Six-platform coverage behind one API key
Pros
- Google, YouTube, Amazon, Walmart, Reddit, TikTok on one key
- Each platform costs the same $0.005/credit
- MCP server for agent integration
- Structured JSON across all platforms
Cons
- Does not cover LinkedIn, Instagram, or Twitter natively
- 250 free credits limits multi-platform testing
#2
SerpAPI
Multi-engine support including Google, Bing, Yahoo
Pros
- Supports Google, Bing, Yahoo, DuckDuckGo, and more
- Google Shopping and Maps endpoints
- Mature API with comprehensive docs
Cons
- Each engine query costs the same, no platform-specific optimization
- No Reddit, TikTok, or YouTube transcript data
- $275/mo for 30K searches
#3
Apify
Custom actors for any platform
Pros
- Actors available for virtually any platform
- Community-built scrapers for niche sites
- Flexible pay-per-use model
Cons
- Each platform requires a separate actor
- Quality varies across community actors
- No unified API schema across platforms
#4
Bright Data
Enterprise-scale multi-platform data collection
Pros
- Massive proxy network for any site
- Pre-built datasets for many platforms
- Enterprise SLAs
Cons
- Enterprise pricing, no transparent per-query cost
- Complex setup for agent integration
- Overkill for agent grounding use cases
#5
Firecrawl
Extracting structured data from any URL
Pros
- Works on any URL, platform-agnostic
- Good Markdown extraction
- JS rendering for dynamic sites
Cons
- Requires URLs, cannot search or discover content
- 7-10 credits per complex extraction
- Not a multi-platform search, just an extractor
Side-by-Side Comparison
| Criteria | Scavio | Runner-up | 3rd Place |
|---|---|---|---|
| Platforms covered | 6 (structured) | 5+ (search engines) | Any (via actors) |
| Unified API schema | Yes | Per-engine format | Per-actor format |
| Cost per query | $0.005 | $0.025+ | Varies by actor |
| Agent integration | MCP + REST | REST | REST + webhooks |
| Free tier | 250/mo | 100/mo | Free tier per actor |
| Content discovery | Yes (search) | Yes (search) | Yes (per actor) |
Why Scavio Wins
- Six platforms under one API key and one authentication method means agents do not need separate integrations, credentials, or rate limit logic per platform.
- Uniform $0.005/credit pricing across all platforms makes cost prediction simple regardless of which platform the agent queries.
- SerpAPI covers more search engines but costs 5x more per query and lacks Reddit, TikTok, and YouTube transcript data that modern agents need.
- Apify can scrape virtually any platform but requires per-actor setup, and quality varies, making it harder to maintain as a reliable agent grounding layer.
- MCP server provides declarative tool registration so agents automatically discover all six platform search capabilities.