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I need a lightweight scraper built with [login to view URL] that can crawl a handful of local store websites and extract their full inventory—product names, SKUs, stock levels, and prices—and then export everything to a single, clean CSV file. The stores do not run on Shopify, Amazon, or eBay, so the solution has to be flexible enough to work with custom-built fronts: think basic HTML, a couple of JavaScript-driven pages, and the usual pagination quirks. You are free to use any Node-based scraping utilities you like (Puppeteer, Playwright, Cheerio, Axios, etc.) as long as the final workflow is triggered from a [login to view URL] API route or script and runs reliably on a standard VPS. Key points I care about • Accurate, duplicate-free capture of every item in stock • Graceful handling of pagination and lazy-loaded sections • A CSV output with consistent column order and UTF-8 encoding • Clear instructions so I can rerun or adapt the scraper for new stores later Deliverables 1. [login to view URL] project (Git repo or ZIP) with the scraper code 2. Sample CSV generated from one target store to confirm the field mapping 3. README covering setup, environment variables, and run steps I can provide the list of target URLs and any login cookies we might need once we start.
Project ID: 40278812
170 proposals
Remote project
Active 4 mos ago
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