Retail & Ecommerce Innovation Intelligence
Pricing
Pay per event
Retail & Ecommerce Innovation Intelligence
This actor is a powerful data-gathering tool that transforms raw news from top RSS feeds (focused on Retail, Ecommerce, and Digital Innovation) into structured, actionable intelligence. It uses DuckDuckGo News Search to gather real-time context and an LLM (OpenAI) to perform advanced analysis.
Pricing
Pay per event
Rating
0.0
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Developer

Visita Intelligence
Actor stats
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Total users
1
Monthly active users
8 days ago
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ποΈ Retail & Ecommerce Innovation Intelligence Database API
Query pre-analyzed, historical, and market-moving retail intelligence events, backed by a constantly updating AI-scraping pipeline.
Note: This Actor doesn't force you to wait for live web scraping! We execute the heavy AI sentiment analysis natively on our backend databases every day utilizing LLMs and un-blockable scrapers. By utilizing this Actor, you are querying deeply enriched and verified ecommerce metrics.
π Why Use This Database?
When you run this Actor in SEARCH_ARTICLES mode, you instantly gain access to data fields that a standard RSS feed cannot provide:
- π² Brand Extraction: Automatically identifies retail brands, software, and ecommerce entities mentioned (e.g., "Amazon", "Shopify", "Walmart").
- π― Innovation Impact Score (0-100): Instantly filter noise. Know if an event is a "General Update" (15/100) or an "Industry Shifting Trend" (95/100).
- π Sentiment Analysis: Immediate
Bullish/Bearish/Neutralclassification tied to the article.
π οΈ Usage & Configuration
Because we handle the infrastructure, API keys, proxies, and LLM processing on our end, your setup is extremely straightforward.
Configure Inputs
| Field | Description |
|---|---|
| Operation Mode | Select SEARCH_ARTICLES to fetch intelligent news data. |
| Search Term | (Optional) Query the database for a specific keyword or brand (e.g., "Amazon", "Shopify Updates", "Supply Chain"). |
| Start Date | (Optional) Filter results strictly on or after a specified date. |
| Max Articles | Limit the number of parsed events you wish to return. |
π Data Output
The Actor saves clean, instantaneous results to your Apify Dataset. We provide a rich Table View in the console for immediate analytical scanning.
JSON Example
{"title": "Amazon Announces Major Supply Chain Restructuring for Prime Delivery","url": "https://example.com/retail/amazon-logistics-update","published": "2026-03-10T14:30:00Z","content_type": "Supply Chain & Logistics","innovation_impact_score": 90,"sentiment": "Bullish","key_brands": ["Amazon", "Rivian"],"innovation_tags": ["Automated Logistics", "Last-Mile Delivery"],"strategic_takeaway": "Audit current 3PL logistics networks to ensure parallel fulfillment speeds relative to regional Prime upgrades.","summary": "Amazon has revealed a multi-billion dollar investment to overhaul its fulfillment network, improving regional delivery speeds..."}
π° Pricing & Monetization
This Actor uses a clear Pay-Per-Event model, which gives you complete predictability. Instead of charging for vague "scrape compute time," you only pay when valuable data hits your dataset.
- Primary Event (
article-summary): You are charged $0.01 directly for every successfully fetched AI-analyzed article you query. - Note: You do NOT burn money on HTTP 403s, proxy failures, or "hallucinating" LLMs, because we've already handled the risk in our daily database background schedules. You are strictly paying for the clean data payload.
π’ Platform Architecture
For advanced developers wishing to understand the infrastructure maintaining this database endpoint, refer to the AGENTS.md source of truth document for our automated deployment pipeline logic detailing LangGraph, Supabase integrations, and Brave Search Fallback mechanics.
