🏍️ BikeDekho Scraper: Used Bikes, New Bikes, On-Road Prices & Dealers

🚀 Export India's motorcycle and scooter data from bikedekho.com in minutes. 5,826 used ads, 951 new bike models and 15,000 dealer pages, with price, year, kilometres, owners, city, specifications and photos. No login, no proxy, no browser.

Quick answer: to scrape used bikes from BikeDekho, open the Actor, choose Used bikes and scooters (ads), add a city such as Delhi or a brand such as Royal Enfield, set the number of results and click Start. Brand, model, body type, fuel, engine size, price, year and kilometre filters are applied by the site itself.

BikeDekho Scraper reads the public pages of bikedekho.com, a marketplace run by Girnar Software, the company behind CarDekho. It returns clean, typed rows for four kinds of data: second-hand bike and scooter ads, new bike models with full specifications, on-road prices per variant and city, and authorised dealer showrooms. You can export the result as JSON, CSV, Excel, XML or HTML, or read it through the Apify API.

🎯 Target audience	💡 Primary use cases
Used-bike dealers and marketplaces	Price benchmarking by model, year and city
Lenders, insurers and valuation teams	Residual-value curves and loan sizing
Market researchers and analysts	Spec and price comparison of new models, EV tracking
Automotive data teams	Feeding catalogues, dashboards and pricing models

📋 What does BikeDekho Scraper do?

• Used bikes and scooters: the national catalogue (5,826 ads on 2026-10-19) or any city. Each row has the asking price in rupees, registration year, kilometres, owner count, fuel, make, model, variant, photos and the exact time the ad was posted.
• Ad details (optional): transmission, engine size, power, torque, fuel economy, kerb weight, brakes, tyres, ABS, registration state and RTO code, view count, last update, seller type and the new-bike price for comparison.
• New bikes: one row per model page with launch date, 25+ specification fields, ex-showroom price range, on-road price range, variants, colours, user rating and the on-road prices of the top cities. Electric models add battery, motor power, range and charging time.
• On-road prices: one row per variant and city with ex-showroom price, RTO charges, insurance, other charges, on-road price and the monthly EMI the site shows.
• Dealers: authorised showrooms by brand and city with address, locality, pincode and coordinates. Phone and WhatsApp numbers only when you switch them on.
• Monitoring: schedule the Actor and receive only ads you have not collected before, plus a price-change row when a known ad changes price.

💡 Why it matters: BikeDekho shows prices, kilometres and owner counts, but only one search at a time and without an export. This Actor turns the same public pages into a table you can filter, join and keep.

A minimal example input:

{
  "mode": "used-bikes",
  "cities": ["Bangalore"],
  "brands": ["Royal Enfield"],
  "priceTo": 150000,
  "yearFrom": 2018,
  "scrapeDetails": true,
  "maxItems": 100
}

Five ways to collect data

Mode (mode)	Use it to	Record types
used-bikes	Search second-hand ads by city, brand, model, body type, fuel, engine size, price, year and kilometres	used-bike, price-change
new-bikes	Read new models with specs, ex-showroom and on-road prices	new-bike
on-road-prices	Price every variant of chosen models in chosen cities	on-road-price
dealers	List showrooms by brand and city	dealer
urls	Refresh known ads by number or address, replay a search address, read a model, price or showroom page	any of the above

City, brand and model names are looked up on the site at run time and are not case sensitive. The site accepts one engine size range per search, so each range you tick is searched separately.

📊 Output: what data do you get?

Every row has a recordType. Fields that do not apply to a record type are left out, never filled with null.

Field	Description
recordType	used-bike, new-bike, on-road-price, price-change or dealer
listingId, dealerId	Ad number (24 characters), model or price id, dealer number
title, url, imageUrl	Title, address on bikedekho.com and cover photo
make, model, variant, year	Brand, model, variant and registration or launch year
vehicleType, bodyType, fuelType, transmission	motorcycle or scooter, body type, fuel, gearbox (ad details)
engineCc, power, powerPs, torque, torqueNm	Engine size, power and torque as text and as numbers
fuelEfficiencyKmpl, kerbWeightKg, fuelTankLitres, topSpeedKmph	Efficiency, weight, tank and top speed
launchedAt, modelStatus, cylinders, coolingType, gearbox, emissionNorm	New-bike rows: launch date, model status, engine layout, cooling, gears and emission norm
seatHeightMm, groundClearanceMm, frontSuspension, rearSuspension, tyreType, userReportedMileageKmpl	More specification fields, and the mileage owners report on the site
batteryCapacity, motorPower, claimedRange, chargingTime	Electric models only
brakeType, frontBrake, rearBrake, frontTyre, rearTyre, abs	Brakes, tyres and ABS
mileage, mileageUnit, ownerCount	Kilometres driven and number of owners
price, priceType, currency, priceOnRequest	Price in INR, its type (asking, ex-showroom or on-road) and true when no price is shown
newBikePrice	The site's new-bike price for the same variant (ad details)
exShowroomPrice, rtoCharges, insurance, otherCharges, onRoadPrice, emiPerMonth, priceCity	On-road price breakdown per variant, and the city it applies to
exShowroomPriceMax, onRoadPriceMin, onRoadPriceMax, variantCount, ratingCount	New-bike rows: top of the price range, on-road range, number of variants and of ratings
previousPrice, priceChange, priceChangePct, changeType	Price-change rows: old price, difference, percent, price-drop or price-increase
city, registrationState, rtoCode	City of the ad, state and RTO office code of the plate
listedAt, updatedOn, viewCount	Posting time (exact), last update day and views
images, imageCount, stockImageUrl	Seller photos, their count, and the catalogue photo when the seller added none
sellerType, isPrivateSeller	individual or dealer type, and the private flag (ad details)
variants, colorCount, rating, reviewCount, cityOnRoadPrices, specifications, description	New-bike rows: variants with prices, colours, rating, city prices, all specification groups and the model summary
address, locality, pincode, latitude, longitude, dealerPhone, dealerWhatsapp	Dealer rows (phone and WhatsApp only with contact details on)
sourceSite, country, state, brandSlug, modelSlug, variantSlug, isFeatured	Source, country code, state (dealers), the site's own address names, and the featured-ad flag
error	Only on the single free row a run writes when the input is invalid or an ad is gone, with the reason
scrapedAt	When the row was collected

Sample output

A real used-bike row with ad details, collected on 2026-10-19:

{
  "imageUrl": "https://cdn.bikedekho.com/upload/usedbikesimages/2026/09/6aabccb2a50d8.jpg",
  "recordType": "used-bike",
  "title": "2023 TVS Raider Split Seat",
  "listingId": "6aabcca14f7245733b0b75e1",
  "url": "https://www.bikedekho.com/used-bike-details/used-tvs-raider-raider-disc-bikes-bangalore_6aabcca14f7245733b0b75e1.htm",
  "sourceSite": "bikedekho.com",
  "country": "IN",
  "city": "Bangalore",
  "registrationState": "Karnataka",
  "rtoCode": "KA01",
  "make": "TVS",
  "model": "Raider",
  "variant": "Split Seat",
  "vehicleType": "motorcycle",
  "bodyType": "Commuter",
  "year": 2023,
  "fuelType": "Petrol",
  "transmission": "Manual",
  "engineCc": 124.8,
  "power": "11.38 PS",
  "powerPs": 11.38,
  "torque": "11.75 Nm",
  "torqueNm": 11.75,
  "fuelEfficiencyKmpl": 71.94,
  "kerbWeightKg": 123,
  "brakeType": "Disc",
  "mileage": 12900,
  "mileageUnit": "km",
  "ownerCount": 1,
  "price": 75000,
  "priceType": "asking",
  "currency": "INR",
  "newBikePrice": 94620,
  "listedAt": "2026-09-17T11:18:57.000Z",
  "updatedOn": "2026-09-22",
  "viewCount": 486,
  "images": [
    "https://cdn.bikedekho.com/upload/usedbikesimages/2026/09/6aabccb2a50d8.jpg",
    "https://cdn.bikedekho.com/upload/usedbikesimages/2026/09/6aabccb2c8e02.jpg",
    "https://cdn.bikedekho.com/upload/usedbikesimages/2026/09/6aabccb2d0830.jpg"
  ],
  "imageCount": 3,
  "sellerType": "individual",
  "isPrivateSeller": true,
  "scrapedAt": "2026-10-19T07:01:18.599Z"
}

A real on-road-price row:

{
  "recordType": "on-road-price",
  "title": "Honda SP 125 STD on-road price in Bangalore",
  "listingId": "4477-bangalore",
  "url": "https://www.bikedekho.com/honda/sp125/price-in-bangalore",
  "city": "Bangalore",
  "make": "Honda",
  "model": "SP 125",
  "variant": "STD",
  "fuelType": "Petrol",
  "engineCc": 123.94,
  "price": 113390,
  "priceType": "on-road",
  "currency": "INR",
  "exShowroomPrice": 91774,
  "rtoCharges": 13723,
  "insurance": 6498,
  "otherCharges": 1395,
  "onRoadPrice": 113390,
  "emiPerMonth": 3289
}

✨ Why choose this Actor

• Filters the site applies for you: 30 brands, 333 models, 17 body types, petrol or electric, 8 engine size ranges, price, year and kilometre ranges. Models are matched by name, so Activa picks every Activa generation.
• No depth cap: all 292 result pages of the national search answer, so a full read is possible. One search returns about 20 ads per second; with ad details switched on, about 1 ad per second. Searches for several cities run side by side.
• Clean, typed output: numbers are numbers, dates are ISO 8601 and the column order is the same for every row.
• Honest errors: an unknown city or brand ends the run with one free error row that explains the problem and lists valid brand names or example cities. The site would silently answer with the whole country or with Delhi, and the Actor never passes that on as a match.
• Privacy built in: seller names, phone numbers and full registration plates are never output. Only the RTO office code and its state are kept.
• Cheap to run: plain HTTP requests and 256 MB of memory. A 3-result run uses about 0.0001 USD of platform compute.

📈 How it compares to alternatives

When this Actor was built (2026-10-19) no other Actor on the Apify Store targeted bikedekho.com. The closest options cover other sites:

	BikeDekho Scraper	BikeWale scrapers	Quikr and OLX India scrapers
Site	bikedekho.com	bikewale.com	quikr.com and olx.in classifieds
Used bike ads with kilometres, owners and posting time	Yes	Not offered (new bikes, prices, specs)	Yes, mixed with cars and other goods
New models with specs and ex-showroom price	Yes	Yes	No
On-road price breakdown per variant and city	Yes	Yes, in one of them	No
Dealer showrooms with address and coordinates	Yes	Not listed	No
Monitor mode with price-change rows	Yes	Not listed	Not listed

Comparison based on the Store listings read on 2026-10-19. Use a BikeWale scraper next to this one if you want to compare the two portals' new-bike prices.

🚀 How to scrape BikeDekho in four steps

1. Create a free Apify account at console.apify.com and open this Actor.
2. Choose What to collect: used bikes, new bikes, on-road prices, dealers or addresses.
3. Add cities, brands or models, and any filters such as price, year or engine size. Set Maximum items.
4. Click Start, then download the dataset from the Storage tab as JSON, CSV, Excel or XML, or read it through the API.

⚠️ Good to know before you buy data

• Most used ads on the site are old. Of the 5,826 ads read on 2026-10-19, 5,628 were posted in 2019 or 2020 and only 11 in the last twelve months. The site keeps expired ads online, so use Listed within the last days or the posting time listedAt to keep fresh ones. That filter still reads the result pages in order, because the site has no sort option.
• Prices are what sellers typed. A few ads show a price of a few rupees or a typo; the Actor reports the site's number and leaves the judgement to you.
• List rows have no city when you search all of India. The site names the city only inside a city search or on the ad page, so add a city or switch on Open each used-bike ad when you need it.
• Price history is not published by the site, so the Actor offers monitoring instead: run it on a schedule with Only new rows and Report price changes.
• Engine, transmission and registration data live on the ad page. Switching on ad details costs one more page read per ad.

💼 Business use cases

Used-bike dealers and marketplaces. Track asking prices by model, year and city, spot undervalued ads by comparing price with newBikePrice, and feed a pricing model with thousands of rows.

Finance, insurance and valuation teams. Build residual-value curves from year, kilometres and owner count, and compare the real on-road price with the ex-showroom price for loan sizing.

Market and product research. Compare specifications, mileage claims, ratings and prices of new models in one table, or follow electric two-wheeler range and battery specs over time.

Network planning. Map authorised showrooms by brand, city, pincode and coordinates to plan service coverage or sales territories.

🔌 Automating BikeDekho Scraper

Schedule a daily run with Only new rows to receive each new ad once, and send the dataset to Google Sheets, Slack, Make, Zapier, Airbyte or your own database through Apify integrations and webhooks. Name each saved search with Monitor name so that several schedules do not share one memory.

🌟 Beyond business use cases

• Research: study how two-wheeler prices fall with age and kilometres across Indian cities.
• Personal: shortlist a second-hand scooter by city, budget and owner count, and compare it with the new price.
• Education: build a dataset for a regression or data-visualisation course.
• Journalism: follow the spread of electric two-wheelers and their prices.

🤖 Ask an AI assistant about this scraper

Paste the dataset link or a few rows into your assistant and ask, for example: "Which Royal Enfield models in Bangalore are priced more than 30 percent below their new-bike price?", "What is the median asking price of a 2019 Activa by city?", or "List the cheapest electric scooters with a claimed range above 100 km." Each question maps to fields in the table above.

Frequently Asked Questions

How do I scrape used bikes from BikeDekho? Pick Used bikes and scooters (ads), add a city or a brand and click Start. Add price, year, kilometre, engine size, body type or fuel filters to narrow the result.

Can I get every used bike on the site? Yes. Leave cities and brands empty to read all 292 result pages of the national search (5,826 ads on 2026-10-19). A listing-only run of the whole country takes about five minutes.

Which cities can I use? Any city that has ads on bikedekho.com, written as on the site, for example Delhi, Mumbai, Bangalore, Pune, Hyderabad or Navi Mumbai. An unknown city returns one error row instead of another place.

Why do some rows have no city, engine or transmission? The list of ads carries a shorter record than the ad page. Switch on Open each used-bike ad for the full record.

Does it return seller phone numbers? No. Seller names, phone numbers and full registration plates are never output. Dealer showroom phone and WhatsApp numbers are returned only when you tick Include dealer contact details.

What is the difference between ex-showroom and on-road price? Ex-showroom is the vehicle price before taxes and fees. On-road adds RTO charges, insurance and other charges. The on-road mode returns each part for every variant in the cities you choose.

How fresh is the data? Every run reads the live pages of bikedekho.com. The posting time of each ad comes from its own number, so listedAt is exact. The site itself keeps many old ads online.

Can I track price changes? Yes. Turn on Only new rows and Report price changes and schedule the Actor. A known ad with a new price comes back as a price-change row with the previous price and the change in percent.

Do I need a proxy or a login? No. The site answers plain requests, so the Actor uses none. A proxy field exists only for networks that require one.

Can I filter by engine size and brand together? Yes. Each engine size range you tick is searched on its own, because the site accepts one range per search, and the results are merged.

What formats can I export? JSON, CSV, Excel, XML and HTML, from the Storage tab or through the API.

Is it legal to scrape BikeDekho? The Actor reads public pages at a polite pace of about four requests per second and skips the parts the site's robots.txt disallows. The site's terms of use describe its content as meant for personal, non-commercial use, so check them and local law before commercial reuse.

🔌 Integrate with any app

Call the Actor from any language through the Apify API. Replace the token and read the default dataset when the run ends:

curl -X POST "https://api.apify.com/v2/acts/RecordsData~bikedekho-scraper/run-sync-get-dataset-items?token=<YOUR_API_TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"mode":"used-bikes","cities":["Delhi"],"maxItems":50}'

The same input works in the Apify client for JavaScript and Python, in Make, Zapier, n8n and in the Apify MCP server for AI agents.

🔗 Recommended Actors

💡 Pro Tip: browse the complete RecordsData collection for more data scrapers.

• Auteco Scraper: Colombian motorcycles, parts and dealers, to compare Latin American and Indian two-wheeler catalogues.
• NHTSA Recalls Scraper: US vehicle recalls, VIN decoding and safety ratings, to add safety context to vehicle datasets.

🆘 Need Help? Open the Issues tab or write to contact.punkrecordsdata@gmail.com.

⚠️ Disclaimer: this is an independent tool and is not affiliated with BikeDekho or Girnar Software. It collects only publicly available data.