Cross-Platform Intelligence

import requests API_KEY = "your_scavio_key" topic = "portable projector" platforms = ["google", "reddit", "amazon", "youtube", "tiktok"] for platform in platforms: res = requests.post( "https://api.scavio.dev/api/v1/search", headers={"x-api-key": API_KEY}, json={"query": topic, "platform": platform}, ) count = len(res.json().get("organic", res.json().get("results", []))) print(f"{platform}: {count} results") # Total cost: $0.025 (5 queries)

Cross-Platform Intelligence is relevant to Google, Amazon, YouTube, TikTok, Reddit, Walmart. Scavio provides a unified API to access data from all of these platforms.

Single-platform analysis misses the full picture. A product trending on TikTok may not yet appear in Google search trends. A highly rated Amazon product may have negative Reddit sentiment. Cross-platform intelligence surfaces these discrepancies and correlations. Analysis patterns: (1) Trend correlation -- query the same topic across Google (search interest), Reddit (discussion volume), TikTok (video count), and YouTube (new video uploads) to see where a trend is strongest and where it has not yet arrived. (2) Sentiment triangulation -- Amazon reviews give structured star ratings, Reddit gives unfiltered opinions, YouTube comments give engaged viewer reactions. Combining all three gives a more accurate sentiment picture than any single source. (3) Competitive gap analysis -- search Google for competitor brand mentions, check Reddit for user complaints about competitors, search Amazon for competing products and their reviews. This reveals opportunities competitors are missing. Cost for a comprehensive cross-platform report on one topic: 5 queries (Google, Reddit, Amazon, YouTube, TikTok) at $0.005 each = $0.025 per topic. Analyzing 100 topics/week = $10/mo. This is a fraction of the cost of using separate tools for each platform. Scavio's value proposition for cross-platform intelligence is the unified API: one API key, one authentication method, one response format across all 6 platforms. Without a unified API, cross-platform analysis requires integrating 3-5 separate data providers with different auth methods, response formats, and pricing models.