In a digitally-driven car market, platforms like CarDekho (India), OLX (multi-category classifieds), and Cars.com (USA) serve as massive listing databases where millions of used cars are bought and sold daily.
But beyond facilitating sales, these platforms hold invaluable data:
To unlock this data, automotive web scraping is emerging as a powerful tool. And companies like Actowiz Solutions are leading the way in vehicle listing analysis and used car price tracking across geographies.
This blog explores how Actowiz Solutions helps clients across India, the U.S., and emerging auto markets extract real-time data from CarDekho, OLX, and Cars.com, using scalable scraping systems and pricing trend dashboards.
Whether you're a dealership, car valuation app, insurance provider, or mobility startup, used car pricing insights help drive smarter decisions.
Some real-world applications include:
But here’s the catch:
These platforms don’t offer clean, structured APIs for public use. So manual copy-pasting doesn’t scale, and visual inspections offer only surface-level insight.
Actowiz Solutions specializes in automated web scraping for automotive platforms, offering structured, enriched, and customizable data outputs from CarDekho, OLX, Cars.com, and other listing sites.
Using its advanced scraping engines, Actowiz is able to:
These capabilities unlock a real-time stream of vehicle data used for everything from machine learning models to resale predictions.
Actowiz follows a structured process to extract and analyze data:
Each platform—CarDekho (India), OLX (Global), Cars.com (U.S.)—has a unique structure and filtering system. The scraper identifies:
Across platforms, Actowiz extracts fields such as:
| Field | Description |
|---|---|
| Car Model | e.g., Honda City VX |
| Brand | e.g., Honda, Hyundai, Ford |
| Year | Manufacturing year |
| Fuel Type | Petrol, Diesel, CNG, EV |
| Transmission | Manual or Automatic |
| Location | City or ZIP |
| Listed Price | Asking price in local currency |
| Seller Type | Individual, Dealer |
| Mileage | Kilometers driven |
| Ownership | 1st, 2nd owner |
| Ad ID | Unique identifier |
| Contact Info | (Where available) |
| Listing Date | Date of ad posting |
After extraction, Actowiz applies:
Once structured, the data feeds into:
India’s largest auto portal sees tens of thousands of car listings each day. Scraping here reveals:
Example trend:
“Swift 2018 models in Delhi average ₹5.2L while the same in Lucknow lists at ₹4.5L.”
OLX India, OLX Autos (UAE, Brazil), and OLX Europe provide a vast network of local seller listings.
Challenges tackled by Actowiz:
Insights delivered:
One of America’s largest auto portals, Cars.com is ideal for dealership-level analytics.
Actowiz extracts:
Example Insight:
“2020 Toyota Camry in Texas ZIPs 77001–77099 shows a 12% price spread.”
| Car | Year | Price | City | Fuel | Mileage | Owner | Platform |
|---|---|---|---|---|---|---|---|
| Swift VXi | 2019 | ₹5,20,000 | Delhi | Petrol | 37,000 km | 1st | CarDekho |
| City ZX CVT | 2020 | ₹9,85,000 | Mumbai | Petrol | 21,000 km | 1st | OLX |
| Ford Focus | 2018 | $12,300 | Chicago | Gasoline | 41,500 mi | 2nd | Cars.com |
Actowiz ensures:
Clients also receive:
With access to historical listings and daily fresh data, Actowiz also helps clients train machine learning models for:
Used car markets thrive on information. But without automation, your pricing strategy is running blind.
Whether you’re in India, the U.S., or a global automotive brand, Actowiz Solutions helps unlock the power of daily listings through intelligent scraping from platforms like CarDekho, OLX, and Cars.com.
Stop relying on outdated reports and manual searches.
Start powering your strategy with real-time automotive web scraping and vehicle listing analysis.
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Coffee / Beverage / D2C
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Operations Manager, Beanly Coffee
✓ Competitive insights from multiple platforms
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In Stock
₹524
Price Drop + 12 min
in 6 hrs across Lel.6
Price
Drop −12 thr
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visibility & palniring
Actowiz's real-time scraping dashboard helps you monitor stock levels, delivery times, and price drops across Blinkit, Amazon: Zepto & more.
✔ Scraped Data: Price inights Top-slling SKUs
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✔ Scraped Data, SKU availability, delivery time
With hourly price monitoring, we aligned promotions with competitors, drove 17%
✔ Scraped Data, SKU availability, delivery time
"Actow's helped us reduce out of ststack incidents by 23% within 6 weeks"
✔ Scraped Data, SKU availability, delivery time
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