mobile.de Scraper

Pull car listings from mobile.de at scale — prices, full specifications, photos, and direct dealer phone numbers in one clean dataset. Built for car dealers, market analysts, and lead-generation teams who need current German vehicle-market data without building and maintaining their own scraper.

mobile.de carries over 1.5 million live listings. Set your filters on the site, paste the URL, and get structured rows back.

Why This Scraper?

• Dealer phone numbers on 100% of listings — measured across a 300-listing sample: every row carries the seller's direct numbers, plus WhatsApp contact links where the dealer offers them. No second lookup, no extra charge.
• 61 fields per listing, 69 with full details — 50 of them populated on 95%+ of rows, from engine displacement and emission class to inspection status and previous-owner count.
• mobile.de's own price rating on every row — the marketplace's Top-Preis / Guter Preis assessment, already computed against the model's market band. One filter downstream and you have a deal-finder.
• Gross and net price with the VAT rate — the vatDeductible split that cross-border importers and B2B buyers need, which listing pages bury.
• Dealer coordinates on 100% of rows — latitude and longitude, ready for radius search and territory mapping without a geocoding pass.
• Dealer reputation built in — rating score and review count per seller, so you can rank inventory by seller quality.
• Up to 2,000 listings per search URL — with automatic de-duplication across every search in a run, so a car matching two of your searches is never billed twice.
• Listing timestamps for inventory monitoring — createdAt and modifiedAt on every row make it trivial to diff runs and surface only new or re-priced stock.
• German or English output — units, vocabulary, and number formatting switch together, so Benzin/Petrol and 1.984 cm³/1,984 ccm stay internally consistent.

Use Cases

Dealer & Inventory Intelligence

• Track competitor stock levels, pricing moves, and days-on-market by make and model
• Benchmark your own listings against the local market before repricing
• Spot inventory gaps in your region by body type, fuel, or price band

Market Research & Pricing Analytics

• Build residual-value and depreciation curves from mileage, registration year, and price
• Measure how emission class and inspection status move asking prices
• Compare private-seller versus dealer pricing across the same model

Lead Generation

• Build dealer contact lists with direct phone numbers, addresses, and coordinates
• Segment dealers by inventory size, average price band, or reputation score
• Target dealers stocking a specific make for parts, finance, or warranty offers

Arbitrage & Sourcing

• Filter on the site's own price rating to surface under-market listings
• Find VAT-deductible stock for cross-border resale
• Source specific trims by equipment list when full details are enabled

Data Enrichment & Integration

• Feed live market comparables into valuation tools and CRM systems
• Enrich internal stock records with market pricing and photos
• Schedule runs and diff on modifiedAt to monitor price changes

Getting Started

Simplest run — paste a search URL

{
  "searchUrls": ["https://suchen.mobile.de/fahrzeuge/search.html?isSearchRequest=true&s=Car&vc=Car&dam=false"],
  "maxResults": 100
}

Specific make and model, English output

{
  "searchUrls": ["https://suchen.mobile.de/fahrzeuge/search.html?isSearchRequest=true&s=Car&vc=Car&mk=25200&md=8&dam=false"],
  "maxResults": 500,
  "language": "en"
}

Full details for equipment-level analysis

{
  "searchUrls": ["https://suchen.mobile.de/fahrzeuge/search.html?isSearchRequest=true&s=Car&vc=Car&p=%3A25000&fr=2019%3A&dam=false"],
  "maxResults": 1000,
  "enrichDetails": true,
  "imageSize": "large"
}

Several price bands in one run

{
  "searchUrls": [
    "https://suchen.mobile.de/fahrzeuge/search.html?isSearchRequest=true&s=Car&vc=Car&p=%3A10000",
    "https://suchen.mobile.de/fahrzeuge/search.html?isSearchRequest=true&s=Car&vc=Car&p=10000%3A25000",
    "https://suchen.mobile.de/fahrzeuge/search.html?isSearchRequest=true&s=Car&vc=Car&p=25000%3A"
  ],
  "maxResults": 2000
}

Input Reference

What to Scrape

Parameter	Type	Default	Description
searchUrls	array	—	mobile.de search URLs copied from your browser. Every filter in the URL is carried through.
maxResults	integer	100	Maximum listings per search URL. 0 collects everything the search returns, up to 2,000.

Options

Parameter	Type	Default	Description
enrichDetails	boolean	false	Adds the advert text, equipment list, and labelled specification table to each row.
language	string	de	de for German values as shown on the site, en for English.
imageSize	string	large	small (240px), medium (360px), or large (1024px) image URLs.
concurrency	integer	10	Parallel requests when fetching full details. Lower it if requests start failing.
proxyConfiguration	object	Apify Proxy	Proxy settings for the run.

Output

Every listing is one dataset row. Enabling enrichDetails adds eight further fields to the same row — there is no second record type to join.

{
  "id": 410455298,
  "url": "https://suchen.mobile.de/auto-inserat/volkswagen-golf-6-r-2-0tsi/410455298.html",
  "title": "Volkswagen Golf 6 R 2.0TSI 265PS DSG Cabriolet",
  "make": "Volkswagen",
  "model": "Golf",
  "category": "Cabrio",
  "price": 21999.0,
  "priceNet": 18486.55,
  "priceCurrency": "EUR",
  "vatRate": 19.0,
  "priceRating": "GOOD_PRICE",
  "priceRatingLabel": "Guter Preis",
  "mileage": 115264,
  "firstRegistration": "07/2014",
  "year": 2014,
  "powerKw": 195,
  "powerHp": 265,
  "cubicCapacity": 1984,
  "fuelType": "Benzin",
  "transmission": "Automatik",
  "exteriorColor": "Blau",
  "emissionClass": "Euro5",
  "generalInspection": "Neu",
  "previousOwners": 2,
  "doorCount": "2/3",
  "seatCount": 4,
  "weightKg": 1614,
  "images": ["https://img.classistatic.de/api/v1/mo-prod/images/4d/4dfc2e80-...?rule=mo-1024w"],
  "numImages": 13,
  "sellerType": "Händler",
  "sellerName": "Autohaus Klann GmbH",
  "sellerPhones": ["+49 (0)3328 3599968", "+49 (0)1577 3527695"],
  "sellerCity": "Teltow",
  "sellerZip": "14513",
  "sellerCountry": "DE",
  "sellerLatitude": 52.4029259,
  "sellerLongitude": 13.2727313,
  "sellerRating": 4.5,
  "sellerRatingCount": 38,
  "createdAt": "2026-06-12T09:25:20Z",
  "modifiedAt": "2026-07-24T14:18:05Z"
}

Core Fields

Field	Type	Description
id	integer	mobile.de listing ID
url	string	Public listing page
title	string	Full advert headline
shortTitle	string	Make and model only
subTitle	string	Trim or seller's descriptive line
make / model	string	Manufacturer and model name
makeId / modelId	integer	mobile.de's numeric make/model IDs
category	string	Body style (Cabrio, SUV, Kombi, …)
vehicleClass / segment	string	Vehicle class (Car, Motorbike, …)

Price

Field	Type	Description
price	number	Gross asking price
priceNet	number	Net price where VAT is shown separately
priceCurrency	string	ISO currency code
priceLocalized	string	Price as displayed on the site
vatRate	number	VAT percentage
vatDeductible	boolean	Whether VAT is stated separately
priceType	string	FIXED, NEGOTIABLE, …
priceRating	string	mobile.de's price assessment
priceRatingLabel	string	That assessment in readable form

Specifications

Field	Type	Description
mileage	integer	Kilometres
firstRegistration	string	MM/YYYY
year	integer	Registration year
powerKw / powerHp	integer	Engine power in kW and PS
cubicCapacity	integer	Displacement in cm³
fuelType	string	Fuel or drivetrain
transmission	string	Gearbox type
exteriorColor	string	Body colour
emissionClass	string	Euro emission standard
generalInspection	string	Next inspection due
previousOwners	integer	Number of prior owners
countryVersion	string	Market the car was built for
weightKg	integer	Kerb weight
doorCount / seatCount	string / integer	Doors and seats
isNew, hasDamage, readyToDrive	boolean	Condition flags

Seller

Field	Type	Description
sellerName	string	Dealer or private seller name
sellerType	string	Dealer or private
sellerId	integer	mobile.de seller ID
sellerPhones	array	Direct phone numbers
sellerMessengers	array	WhatsApp and messenger links
sellerAddress	string	Street address
sellerCity / sellerZip / sellerCountry	string	Location
sellerLatitude / sellerLongitude	number	Coordinates
sellerRating	number	Average rating
sellerRatingCount	integer	Number of reviews

Media & Timestamps

Field	Type	Description
images	array	Photo URLs at the chosen size
numImages	integer	Photo count
highlights	array	Seller's highlighted selling points
createdAt	string	ISO-8601 listing creation time
modifiedAt	string	ISO-8601 last-modified time

With enrichDetails enabled

Field	Type	Description
description	string	Advert text as plain text
htmlDescription	string	Advert text with original formatting
features	array	Full equipment list
attributes	object	Labelled specification table
sellerHomepage	string	Dealer's mobile.de profile
sellerLanguages	string	Languages the dealer speaks
sellerSince	string	How long the dealer has been on mobile.de
carfaxEligible	boolean	Whether a vehicle history report is available

Tips for Best Results

• Filter on the site first, then copy the URL — every filter mobile.de offers (price band, registration range, mileage cap, fuel, gearbox, damage exclusion, radius) is encoded in the URL and carried through, so a six-filter search needs no extra configuration here.
• Plan around the 2,000-per-search ceiling — mobile.de will not page past 2,000 results for a single search, no matter how many match. For a broad segment, split it into narrower searches by price band, registration year, or make and paste them all into searchUrls. The run de-duplicates across them automatically.
• Leave enrichDetails off unless you need the advert text — phone numbers, images, price, and the full specification set are on every row either way. Details add the free-text advert, equipment list, and labelled spec table, at roughly ten times the requests.
• Filter on priceRating for sourcing — rows rated GOOD_PRICE or better are mobile.de's own judgement that the car is below its market band, which is the cleanest arbitrage signal in the dataset.
• Split on sellerType for outreach — dealer rows carry sellerName, sellerPhones, and sellerRating; private-seller rows are thinner. Segmenting on this field is the sharpest cut for lead lists.
• Use modifiedAt to monitor rather than re-collect — schedule a run and diff on this field to surface only new or re-priced listings instead of reprocessing the whole segment.
• Pick language: "en" for downstream tooling — it switches vocabulary and number formatting together, which avoids mixed-locale values in analytics pipelines.

Pricing

$0.50 per 1,000 listings (standard) or $1.00 per 1,000 listings (with full details).

Listings	Standard	With Full Details
100	$0.05	$0.10
1,000	$0.50	$1.00
10,000	$5.00	$10.00
100,000	$50.00	$100.00

A "result" is any listing row in the output dataset. When you run several searches at once, a listing that matches more than one of them is de-duplicated before it reaches the dataset, so you are never charged twice for the same car. The full-details rate applies only to rows that actually came back with the advert text and equipment list attached — if a listing's detail record is unavailable, the row is still delivered and charged at the standard rate. Platform fees (compute, storage) are additional and depend on your Apify plan.

Integrations

Export data in JSON, CSV, Excel, XML, or RSS. Connect to 1,500+ apps via:

• Zapier / Make / n8n — Workflow automation
• Google Sheets — Direct spreadsheet export
• Slack / Email — Notifications when new listings match
• Webhooks — Trigger custom APIs on run completion
• Apify API — Full programmatic access

Legal & Ethical Use

This is an unofficial scraper. It is not affiliated with, endorsed by, or connected to mobile.de or its operators in any way. All trademarks belong to their respective owners.

This actor is intended for legitimate market research, dealer intelligence, and automotive analytics. You are responsible for complying with applicable laws and with mobile.de's Terms of Service.

Listings include dealer contact details. Treat them as personal data: do not use phone numbers or addresses for spam, harassment, or any unlawful purpose, and follow GDPR and local privacy rules when storing or processing them.