You will get Live E-Commerce Scraper — Structured Data, Stats & AI Insights
Project details
You get product data pulled straight from real websites and turned into something you can act on: clean records, computed statistics, charts, and an AI-written insight summary where every number is verified in code — the AI never invents a figure. Extraction is deterministic-first (structured-data parsing, AI only as fallback for messy pages), which delivers accuracy typical scraping gigs can't match. Everything runs on my own GPU server — no third-party AI APIs ever touch your data, and my costs stay flat, so yours do too. You'll receive CSV/Excel plus a branded PDF report; higher tiers add an interactive dashboard and a re-runnable pipeline with full source code. A live demo of this exact system is in my profile portfolio.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$95
|
Standard
$265
|
Advanced
$595
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Pages Mined/Scraped | 100 | 500 | 2000 |
Number of Sources Mined/Scraped | 1 | 3 | 5 |
Number of Revisions | 1 | 2 | 3 |
Optional add-ons
You can add these on the next page.
Additional Source Mined/Scraped
+$45
Additional Revision
+$35
AI insights report
+$95
Scheduled re-runs (monthly)
+$120Frequently asked questions
About Eric
AI & Data Automation Engineer | Web Scraping, RAG & Self-Hosted LLMs
Cottonwood, United States - 10:45 pm local time
By day I work inside one of the most precision-demanding manufacturing environments in the world, reading equipment logs, SPC charts, and operational data where a single out-of-spec data point can scrap an entire production run. That is the standard I bring to every data and AI project: numbers get verified in code, not vibes.
What I build:
• Web scrapers that turn live sites into clean datasets, dashboards, and AI-written insights — every figure computed, never hallucinated
• Private AI document tools: ask questions of PDFs, spreadsheets, or scanned files and get answers with citations pointing at the exact row
• Self-hosted LLM pipelines on my own 6-GPU server — your data never touches a third-party API, and costs don't scale per token
Both flagship tools are live demos in my portfolio — click through, upload a file, run a scrape. I ship working software, not slide decks.
Stack: Python, FastAPI, Ollama, ChromaDB, pandas, Playwright. Fluent English and Spanish.
If your data is messy, your process is manual, or your AI pilot only "mostly works" — that's my lane. Bring me the ugly problem.
Steps for completing your project
After purchasing the project, send requirements so Eric can start the project.
Delivery time starts when Eric receives requirements from you.
Eric works on your project following the steps below.
Revisions may occur after the delivery date.
Feasibility check
I verify your target sites and confirm scope within 12 hours of receiving requirements.
Extraction build
Parsers configured for your sites and fields; you sign off on a sample of the first 20 records.