Pricing

from $0.01 / actor start

E-commerce Data Cleaner & Analyzer

Turn messy scraper output into clean, deduplicated, calculated reports for AI agents. 90-99% fewer tokens, exact figures, zero hallucination. Detects price anomalies, fake discounts and duplicates. Works with Amazon, AliExpress, eBay, Temu — any dataset. 100% deterministic Python.

Pricing

from $0.01 / actor start

Rating

0.0

(0)

Developer

Nicolas Dupuis

Actor stats

Bookmarked

Total users

Monthly active users

8 days ago

Last modified

Source	Items	Tokens in	Tokens out	Reduction
Amazon Free Scraper	100	1,506,023	886	99.9%
Amazon Bestsellers	30	27,596	687	97.5%
AliExpress Scraper	100	25,020	1,316	94.7%
eBay Scraper	69	10,074	1,027	89.8%

What it does

Field mapping — normalises field names across scrapers (title/name/productName → name, priceCurrent/$5.59/{value:29.99} → price, etc.)
Price normalisation — handles strings ("US $5.59"), objects ({value: 29.99}), ranges ("$12–$15"), currencies ($, €, £)
Anomaly detection — IQR×1.5, flags price outliers (e.g. a Yamaha piano at $6,499 in a keyboard dataset at $36 median)
Fake promo detection — discount >90% + repeated price + low sales = suspicious (e.g. 6 products at exactly $0.33 with "-95%")
Duplicate detection — exact ASIN match + fuzzy name similarity (rapidfuzz ≥85)
Quality ranking — rating × log(reviews+1); falls back to rating-only when reviews are absent
100% deterministic — no LLM in the pipeline, no hallucination, no random output

Input

Field	Required	Description
`datasetId`	one of the two	Apify dataset ID from a previous scraper run
`rawJson`	one of the two	Raw JSON array of products
`apifyToken`	no	Token to access private datasets (defaults to actor account token)

Output (single record in dataset)

{
  "source": "apify:abc123",
  "products_analyzed": 100,
  "price_stats": { "median": 43.31, "mean": 119.66, "min": 11.70, "max": 6499.99, ... },
  "conclusions": {
    "cheapest":    { "name": "Amazon Basics Keyboard", "price": 11.70 },
    "best_value":  { "name": "Logitech MK270", "price": 29.99, "score": 52.24 },
    "most_expensive": { "name": "Yamaha 76-Key", "price": 6499.99 }
  },
  "anomalies":            { "count": 5, "rule": "IQR×1.5", "items": [...] },
  "fake_promos_suspects": { "count": 5, "rule": "discount>90% + ≥2 signals", "items": [...] },
  "duplicates":           { "extra_copies_found": 8, "groups": 4, "examples": [...] },
  "_meta": { "tokens_raw": 1506023, "tokens_report": 886, "reduction_pct": 99.9, "cost_saved_usd": 3.76 }
}

Usage with other Apify actors

Chain it directly after any scraper:

Run Amazon Product Scraper → get datasetId
Run E-commerce Data Cleaner with that datasetId as input
Your agent receives a 99%+ compressed, analysed report

MCP server

This actor also ships as an MCP server (mcp_server.py) for direct integration with Claude Desktop or any MCP-compatible agent.

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