Go to example tasks

Scrape used car listings in Germany

Export used car listings from AutoScout24 Germany with price, mileage, year, equipment, and seller details.

Try for free
AutoScout24 Scraper $0.8๐Ÿ’ฐ Cars + Dealer Data
AutoScout24 Scraper $0.8๐Ÿ’ฐ Cars + Dealer Datacorvuslab/autoscout24-scraper
Title
Price (EUR)
Rating
Mileage (km)
+8 fields
Text
Number
Boolean
List
Object

Input

๐Ÿญ Make:BMW
๐Ÿš— Model:3-series
โœจ Condition:used
๐ŸŒ Countries:DE
๐Ÿ’ฏ Max results:100

Output fields

Title
Price (EUR)
Rating
Mileage (km)
First reg.
Fuel
Gearbox
HP
Country
City
Seller
Listing

How it works

Sign up on Apify or log in

The AutoScout24 Scraper $0.8๐Ÿ’ฐ Cars + Dealer Data Actor is ready to run with the inputs already set for "Scrape used car listings in Germany". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Scrape used car listings in Germany" task

The AutoScout24 Scraper $0.8๐Ÿ’ฐ Cars + Dealer Data Actor will start running based on the input automatically. You can also change all the input fields, like ๐Ÿญ make, ๐Ÿš— model, and more, to match your specific use case.

Receive the "Scrape used car listings in Germany" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as title, price (eur), rating, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Scrape used car listings in Germany" task via API.

Image

Integrate "Scrape used car listings in Germany" into your workflow

Connect "Scrape used car listings in Germany" with 100+ integrations, or run it via API or MCP.

Webhook

Webhook

n8n

n8n

Make

Make

Zapier

Zapier

Airbyte

Airbyte

Keboola

Keboola

IFTTT

IFTTT

Hubspot

Hubspot

GDrive

GDrive

Gmail

Gmail

Apify MCP

Apify MCP

GitHub

GitHub

Slack

Slack

LangChain

LangChain

LlamaIndex

LlamaIndex

Flowise

Flowise

Pinecone

Pinecone

OpenAI

OpenAI

Mastra

Mastra

Clay

Clay