This scraper, developed using the Scrapy framework, is designed to extract data from nearly all categories on the OLX website. Each category includes 50 fixed pages, with approximately 1,000 records per category. The scraper captures 8 features.
Node.js example showing how to scrape OLX listings using the Apify OLX Listings Scraper actor
An end-to-end machine learning project that scrapes used motorbike listings from OLX Indonesia using Selenium, cleanses and processes features, and classifies worthiness using Decision Tree and Random Forest models.
Olx monitor/scraper for people who wanna find good deals online
Self-contained, zero-dependency OLX scraper — paste into browser console, extract all ad data including full adDetail JSON, descriptions, and structured specs
An intelligent vehicle scout tool that scrapes OLX listings, integrates with the FIPE API for real-time valuation, and identifies market opportunities using Python and CustomTkinter.
Scrapes OLX.in used-car listings, scores each deal against real market comparables, and outputs a self-contained HTML report with charts. Supports pluggable fetchers (Playwright browser or direct API).
Runnable Python & JS examples for the OLX Scraper on Apify
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