A powerful scraper designed to collect detailed product listings from OLX websites across all supported country domains. This tool automates large-scale marketplace data extraction, helping users gather pricing, product details, seller information, and listing metadata. Ideal for businesses, analysts, and researchers who need accurate, structured OLX data at scale.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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The OLX Product Search Scraper streamlines the extraction of product listings from OLX’s global classified marketplace. It removes the need for manual browsing and enables automated, repeatable data collection from any OLX search results page.
This project is built for:
- Data analysts monitoring category trends
- Businesses conducting competitive pricing research
- Market researchers evaluating supply and demand
- Real estate or automotive professionals tracking listings over time
- Collect data across multiple OLX domains (.in, .pl, .br, .pt, .ua, and more)
- Automate extraction of product titles, descriptions, prices, categories, locations, and metadata
- Handle pagination, dynamic content loading, and anti-bot barriers
- Capture rich structured information for accurate marketplace intelligence
| Feature | Description |
|---|---|
| Multi-country support | Scrape OLX product listings from any international OLX domain. |
| Full listing extraction | Captures name, description, price, images, seller info, location, and metadata. |
| Dynamic content handling | Extracts all results even from infinite-scroll or JS-rendered pages. |
| Retry & resilience options | Automatically retries failed pages and bypasses temporary blocks. |
| Search URL input mode | Accepts full search result URLs, including filtered or segmented searches. |
| Data normalization | Outputs structured, analysis-ready JSON. |
| Proxy configuration | Supports flexible proxy routing for stable access to regional sites. |
| Field Name | Field Description |
|---|---|
| id | Unique identifier assigned to the OLX listing. |
| url | Direct link to the product’s individual detail page. |
| name | Title of the product listing. |
| description | Full text description provided by the seller. |
| details | Structured product specifications such as brand, model, year, etc. |
| sku | Commercial product code, if present. |
| category | Listing category such as cars, electronics, or property. |
| total_views | Number of times the listing has been viewed. |
| created_time | Date and time when the listing was published. |
| location | City, region, or locality of the listing. |
| image_urls | Array of URLs referencing product images. |
| price | Numerical price of the item. |
| currency | Currency used for the listing price. |
| seller | Seller information such as name or account type. |
| from_url | The original search results URL used for extraction. |
| page | Page number in which the item appeared during scraping. |
[
{
"id": "1755570872",
"url": "https://www.olx.in/item/1755570872",
"name": "Mercedes-Benz S-Class S 500, 2015, Petrol",
"description": "*MERCEDES BENZ S500 PETROL AUTOMATIC PANAROMIC SUNROOF...",
"details": {
"Brand": "mercedes-benz",
"Model": "mercedes-benz-s-class",
"Year": "2015",
"Fuel": "petrol"
},
"price": 3098000.0,
"currency": "INR",
"location": "Maharashtra",
"image_urls": [
"https://apollo.olx.in:443/v1/files/jlo6zyyozti53-IN/image",
"https://apollo.olx.in:443/v1/files/qgf18tsit0xn2-IN/image"
],
"from_url": "https://www.olx.in/vile-parle-east_g5371523/cars_c84...",
"page": 1
}
]
OLX Product Search Scraper (All Country Sites)/
├── src/
│ ├── runner.py
│ ├── extractors/
│ │ ├── olx_parser.py
│ │ └── utils_format.py
│ ├── outputs/
│ │ └── exporters.py
│ └── config/
│ └── settings.example.json
├── data/
│ ├── input_urls.sample.txt
│ └── sample_output.json
├── requirements.txt
└── README.md
- Automotive dealers monitor used car inventory and pricing across multiple cities to improve acquisition strategies.
- E-commerce competitors track listings and dynamic prices to optimize product positioning.
- Real estate analysts gather rental and sale listings to model market demand trends.
- Market researchers analyze category-level changes in supply, pricing, and user engagement.
- Data engineers build automated pipelines that enrich dashboards with fresh OLX marketplace data.
Q: Can this scraper extract data from any OLX country domain? Yes. It supports all OLX domains including India, Poland, Brazil, Portugal, Romania, Kazakhstan, Ukraine, and more.
Q: What type of URLs should I provide? Provide complete OLX search result URLs with filters included—category, location, pricing, or attribute-based parameters.
Q: How many items can I extract per URL? You can configure the extraction limit. Setting a moderate limit improves performance and reduces the risk of incomplete data.
Q: What if data fields appear missing in some listings? Some OLX categories use different attribute structures. Missing fields reflect actual listing variations.
Primary Metric: Processes an average of 150–250 listings per minute depending on region size and listing density. Reliability Metric: Maintains a 95%+ success rate across multi-country extraction sessions. Efficiency Metric: Optimized for minimal redundant requests, reducing overhead in large batch scraping. Quality Metric: Achieves over 98% data completeness across core listing fields such as price, name, location, and images.
“Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time.” Nathan Pennington
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“Bitbash delivers outstanding quality, speed, and professionalism, truly a team you can rely on.” Eliza
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“Exceptional results, clear communication, and flawless delivery. Bitbash nailed it.” Syed
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