OLX scraper is a tool that unlocks access to detailed data from the leading online classifieds platform OLX. We collect core product listings, pricing details, location data, delivery options, user activity across countries, and more. With this information, you gain insights into market dynamics, competitor positioning, and consumer preferences in your target regions.
We act as your personal web data partner — collecting OLX data in the markets and categories that matter most to your business. Our service is tailored: whether you're monitoring price changes in Poland, checking product availability in Egypt, or analyzing demand trends for certain brands in Brazil, we extract the data you need. You receive clean, analysis-ready files that we export in CSV, Excel, or JSON formats.
Our experience allows us to scrape OLX quickly and accurately, resolving technical issues on the fly and adapting to any changes on the site. We're not just a tool — we’re your custom OLX data extractor.
Our OLX data scraper extracts the visible product information directly from listing pages, including:
To gain deeper insights, we can enhance your dataset with specific product data extracted directly from the product page, including:
OLX.com is one of the world’s leading classifieds platforms, built for C2C and C2B transactions across 45+ countries. With region-specific domains, currencies (like PLN, UAH, IDR, PKR, RON), and user interfaces, OLX offers hyper-localized insights into real-world buying, selling, and pricing behavior. Its massive traffic and category diversity make it an essential platform for tracking regional trends, market dynamics, and consumer intent at scale.
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Developers
Customers
Pages extracted
Hours saved for our clients
Customized plans that grow with your data needs.
€199 / one-time
setup fee — included
€169 / mo
setup fee €499
€229 / mo
setup fee €499
€349 / mo
setup fee €499
€549 / mo
setup fee €799
Using an OLX scraper, you gain access to structured data that supports critical decision-making. With precise parsing, you can:
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Amazon provides valuable information gathered in one place: products, reviews, ratings, exclusive offers, news, etc. So scraping data from Amazon will help solve the problems of the time-consuming process of extracting data from e-commerce.
The use of sentiment analysis tools in business benefits not only companies but also their customers by allowing them to improve products and services, identify the strengths and weaknesses of competitors' products, and create targeted advertising.
ScrapeIt is a company of data extraction specialists. We eliminate the complexity of collecting data from platforms like OLX and other e-commerce environments. Using our custom OLX web scraper solutions, we gather the information you need — quickly, safely, and efficiently. You get structured, actionable data without the technical hassle.
Yes. We can target any specific country where OLX operates — whether it's Poland, Egypt, Romania, or others. It's also possible to collect data from multiple regional OLX sites simultaneously for comparative market analysis.
We also collect data from other major marketplaces and classified ad platforms such as Etsy, eBay, Flipkart, and more. We support both product listings and categories related to services and real estate.
OLX does not display traditional text-based reviews on product listings. However, in some countries, seller ratings or review counts may be available — and we can include those when visible. On other platforms like Etsy, Flipkart, and eBay, we collect full reviews including text, date, rating, and reviewer name.
OLX is one of the largest sources of consumer behavior data in local markets. It's used for competitor tracking, demand analysis, price monitoring, seasonal trend detection, and spotting new market opportunities. These insights are especially valuable for retailers, logistics companies, resellers, analysts, and marketers.
Yes, we can set up recurring OLX scraping — daily, weekly, or at a custom frequency — depending on your needs.
1. Make a request
You tell us which website(s) to scrape, what data to capture, how often to repeat etc.
2. Analysis
An expert analyzes the specs and proposes a lowest cost solution that fits your budget.
3. Work in progress
We configure, deploy and maintain jobs in our cloud to extract data with highest quality. Then we sample the data and send it to you for review.
4. You check the sample
If you are satisfied with the quality of the dataset sample, we finish the data collection and send you the final result.
Scrapeit Sp. z o.o.
10/208 Legionowa str., 15-099, Bialystok, Poland
NIP: 5423457175
REGON: 523384582
