How to Scrape Car.info | Vehicle Data & Valuation Extraction Guide

Learn how to scrape Car.info to extract vehicle specifications, history, and real-time market valuations. A technical guide for automotive data research.

Coverage:SwedenEuropeGlobal
Available Data10 fields
TitlePriceLocationDescriptionImagesSeller InfoContact InfoPosting DateCategoriesAttributes
All Extractable Fields
License PlateVINManufacturerModelModel YearMarket ValueAsking PriceMileageEngine Power (hp/kW)TorqueFuel TypeTransmissionDrivetrainAcceleration (0-100 km/h)CO2 EmissionsBody TypeColorNumber of SeatsOwner CountLast Inspection Date
Technical Requirements
JavaScript Required
No Login
Has Pagination
Official API Available
Anti-Bot Protection Detected
CloudflareRate LimitingIP BlockingBrowser FingerprintingJS Challenges

Anti-Bot Protection Detected

Cloudflare
Enterprise-grade WAF and bot management. Uses JavaScript challenges, CAPTCHAs, and behavioral analysis. Requires browser automation with stealth settings.
Rate Limiting
Limits requests per IP/session over time. Can be bypassed with rotating proxies, request delays, and distributed scraping.
IP Blocking
Blocks known datacenter IPs and flagged addresses. Requires residential or mobile proxies to circumvent effectively.
Browser Fingerprinting
Identifies bots through browser characteristics: canvas, WebGL, fonts, plugins. Requires spoofing or real browser profiles.
JavaScript Challenge
Requires executing JavaScript to access content. Simple requests fail; need headless browser like Playwright or Puppeteer.

About Car.info

Learn what Car.info offers and what valuable data can be extracted from it.

Comprehensive Automotive Information Hub

Car.info is one of the most comprehensive automotive information platforms, primarily serving the Swedish market but containing extensive data on vehicles worldwide. It provides a unique one-stop-shop for identifying any vehicle using its license plate or VIN, offering details ranging from engine specifications to historical ownership and current market value.

High-Value Data Aggregation

The platform aggregates data from various sources, including official registries and numerous classified listing sites. This makes it a goldmine for automotive businesses, insurance companies, and market researchers who need precise, aggregated data on vehicle performance, fuel efficiency, and real-world resale trends.

Strategic Data Extraction

With its depth of data covering millions of vehicles, scraping Car.info allows users to build powerful analytical tools, track market trends, and verify vehicle integrity at scale. Whether you are monitoring used car prices or performing fleet analysis, this platform provides the necessary technical depth.

About Car.info

Why Scrape Car.info?

Discover the business value and use cases for extracting data from Car.info.

Track real-time market valuations for competitive pricing

Bulk-verify technical specs and inspection status for fleet management

Assess insurance risk using ownership history and safety specs

Analyze market demand for EVs versus internal combustion engines

Build a comprehensive technical database for automotive research

Monitor inventory changes in the Swedish car market

Scraping Challenges

Technical challenges you may encounter when scraping Car.info.

Aggressive Cloudflare bot detection blocks standard HTTP clients

Valuation and price data injected dynamically via JavaScript

Frequent VIN or license plate searches trigger IP bans or CAPTCHAs

Complex DOM structure varies between vehicle generations

Scrape Car.info with AI

No coding required. Extract data in minutes with AI-powered automation.

How It Works

1

Describe What You Need

Tell the AI what data you want to extract from Car.info. Just type it in plain language — no coding or selectors needed.

2

AI Extracts the Data

Our artificial intelligence navigates Car.info, handles dynamic content, and extracts exactly what you asked for.

3

Get Your Data

Receive clean, structured data ready to export as CSV, JSON, or send directly to your apps and workflows.

Why Use AI for Scraping

Handles Cloudflare challenges and browser fingerprinting automatically
No coding required to select complex technical specifications
Supports scheduled runs for daily market price monitoring
Integrated proxy rotation prevents IP blocking during bulk lookups
No credit card requiredFree tier availableNo setup needed

AI makes it easy to scrape Car.info without writing any code. Our AI-powered platform uses artificial intelligence to understand what data you want — just describe it in plain language and the AI extracts it automatically.

How to scrape with AI:
  1. Describe What You Need: Tell the AI what data you want to extract from Car.info. Just type it in plain language — no coding or selectors needed.
  2. AI Extracts the Data: Our artificial intelligence navigates Car.info, handles dynamic content, and extracts exactly what you asked for.
  3. Get Your Data: Receive clean, structured data ready to export as CSV, JSON, or send directly to your apps and workflows.
Why use AI for scraping:
  • Handles Cloudflare challenges and browser fingerprinting automatically
  • No coding required to select complex technical specifications
  • Supports scheduled runs for daily market price monitoring
  • Integrated proxy rotation prevents IP blocking during bulk lookups

No-Code Web Scrapers for Car.info

Point-and-click alternatives to AI-powered scraping

Several no-code tools like Browse.ai, Octoparse, Axiom, and ParseHub can help you scrape Car.info. These tools use visual interfaces to select elements, but they come with trade-offs compared to AI-powered solutions.

Typical Workflow with No-Code Tools

1
Install browser extension or sign up for the platform
2
Navigate to the target website and open the tool
3
Point-and-click to select data elements you want to extract
4
Configure CSS selectors for each data field
5
Set up pagination rules to scrape multiple pages
6
Handle CAPTCHAs (often requires manual solving)
7
Configure scheduling for automated runs
8
Export data to CSV, JSON, or connect via API

Common Challenges

Learning curve

Understanding selectors and extraction logic takes time

Selectors break

Website changes can break your entire workflow

Dynamic content issues

JavaScript-heavy sites often require complex workarounds

CAPTCHA limitations

Most tools require manual intervention for CAPTCHAs

IP blocking

Aggressive scraping can get your IP banned

No-Code Web Scrapers for Car.info

Several no-code tools like Browse.ai, Octoparse, Axiom, and ParseHub can help you scrape Car.info. These tools use visual interfaces to select elements, but they come with trade-offs compared to AI-powered solutions.

Typical Workflow with No-Code Tools
  1. Install browser extension or sign up for the platform
  2. Navigate to the target website and open the tool
  3. Point-and-click to select data elements you want to extract
  4. Configure CSS selectors for each data field
  5. Set up pagination rules to scrape multiple pages
  6. Handle CAPTCHAs (often requires manual solving)
  7. Configure scheduling for automated runs
  8. Export data to CSV, JSON, or connect via API
Common Challenges
  • Learning curve: Understanding selectors and extraction logic takes time
  • Selectors break: Website changes can break your entire workflow
  • Dynamic content issues: JavaScript-heavy sites often require complex workarounds
  • CAPTCHA limitations: Most tools require manual intervention for CAPTCHAs
  • IP blocking: Aggressive scraping can get your IP banned

Code Examples

import requests
from bs4 import BeautifulSoup

# Car.info is protected by Cloudflare; realistic headers are mandatory
url = 'https://www.car.info/en-se/search?q=volvo+v60'
headers = {
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/118.0.0.0 Safari/537.36'
}

try:
    response = requests.get(url, headers=headers)
    response.raise_for_status()
    soup = BeautifulSoup(response.text, 'html.parser')
    # Example selector for search results
    for car in soup.select('.search-result-item'):
        name = car.select_one('.title').text.strip()
        price = car.select_one('.price').text.strip() if car.select_one('.price') else 'N/A'
        print(f'Model: {name} | Price: {price}')
except Exception as e:
    print(f'Error: {e}')

When to Use

Best for static HTML pages where content is loaded server-side. The fastest and simplest approach when JavaScript rendering isn't required.

Advantages

  • Fastest execution (no browser overhead)
  • Lowest resource consumption
  • Easy to parallelize with asyncio
  • Great for APIs and static pages

Limitations

  • Cannot execute JavaScript
  • Fails on SPAs and dynamic content
  • May struggle with complex anti-bot systems

How to Scrape Car.info with Code

Python + Requests
import requests
from bs4 import BeautifulSoup

# Car.info is protected by Cloudflare; realistic headers are mandatory
url = 'https://www.car.info/en-se/search?q=volvo+v60'
headers = {
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/118.0.0.0 Safari/537.36'
}

try:
    response = requests.get(url, headers=headers)
    response.raise_for_status()
    soup = BeautifulSoup(response.text, 'html.parser')
    # Example selector for search results
    for car in soup.select('.search-result-item'):
        name = car.select_one('.title').text.strip()
        price = car.select_one('.price').text.strip() if car.select_one('.price') else 'N/A'
        print(f'Model: {name} | Price: {price}')
except Exception as e:
    print(f'Error: {e}')
Python + Playwright
import asyncio
from playwright.async_api import async_playwright

async def scrape_car_specs():
    async with async_playwright() as p:
        browser = await p.chromium.launch(headless=True)
        page = await browser.new_page()
        await page.goto('https://www.car.info/en-se/volvo/v60/v60-2023-22874136')
        # Wait for dynamic spec table
        await page.wait_for_selector('.tech-spec-table')
        specs = await page.query_selector_all('.tech-spec-row')
        for spec in specs:
            label = await spec.query_selector('.label')
            value = await spec.query_selector('.value')
            if label and value:
                print(f'{await label.inner_text()}: {await value.inner_text()}')
        await browser.close()

asyncio.run(scrape_car_specs())
Python + Scrapy
import scrapy

class CarInfoSpider(scrapy.Spider):
    name = 'car_spider'
    start_urls = ['https://www.car.info/en-se/volvo/v60']

    def parse(self, response):
        for car in response.css('.car-listing'):
            yield {
                'model': car.css('.model-name::text').get(),
                'year': car.css('.model-year::text').get(),
                'valuation': car.css('.valuation-range::text').get(),
            }
        # Pagination handling
        next_page = response.css('a.next-btn::attr(href)').get()
        if next_page:
            yield response.follow(next_page, self.parse)
Node.js + Puppeteer
const puppeteer = require('puppeteer');

(async () => {
  const browser = await puppeteer.launch();
  const page = await browser.newPage();
  await page.goto('https://www.car.info/en-se/spots');
  await page.waitForSelector('.spot-item');
  const data = await page.evaluate(() => {
    return Array.from(document.querySelectorAll('.spot-item')).map(item => ({
      car: item.querySelector('.car-name')?.innerText,
      plate: item.querySelector('.license-plate')?.innerText,
      location: item.querySelector('.spot-location')?.innerText
    }));
  });
  console.log(data);
  await browser.close();
})();

What You Can Do With Car.info Data

Explore practical applications and insights from Car.info data.

Used Car Price Benchmarking

Dealers set competitive prices based on real-time market averages extracted from the site.

How to implement:

  1. 1Scrape daily listings for specific models
  2. 2Aggregate data by year and mileage
  3. 3Calculate average market value
  4. 4Adjust inventory pricing accordingly

Use Automatio to extract data from Car.info and build these applications without writing code.

What You Can Do With Car.info Data

  • Used Car Price Benchmarking

    Dealers set competitive prices based on real-time market averages extracted from the site.

    1. Scrape daily listings for specific models
    2. Aggregate data by year and mileage
    3. Calculate average market value
    4. Adjust inventory pricing accordingly
  • Vehicle History Verification

    Buyers verify if a car's advertised specs match official registry data to prevent fraud.

    1. Input license plate into search
    2. Extract official engine and owner count data
    3. Compare results with seller claims
    4. Identify discrepancies in specifications
  • Fuel Efficiency Analysis

    Researchers analyze trends in fuel consumption across different car generations for reports.

    1. Scrape WLTP consumption data for top-selling models
    2. Group results by manufacturer and production year
    3. Identify shifts toward EV and Hybrid efficiency
    4. Generate historical trend reports
  • Automotive Lead Generation

    Service centers target cars reaching specific mileage or age intervals for maintenance packages.

    1. Scrape mileage data from active listings
    2. Identify cars exceeding 100,000 km benchmarks
    3. Categorize vehicles by engine type for targeted servicing
    4. Offer specialized maintenance leads to repair shops
  • Market Demand Heatmaps

    Identify which vehicle models are most frequently spotted in specific regions using spotting data.

    1. Scrape the 'Spots' section for location data
    2. Extract model name and frequency per city
    3. Map vehicle density using geographic data
    4. Analyze regional preferences for brands
More than just prompts

Supercharge your workflow with AI Automation

Automatio combines the power of AI agents, web automation, and smart integrations to help you accomplish more in less time.

AI Agents
Web Automation
Smart Workflows

Pro Tips for Scraping Car.info

Expert advice for successfully extracting data from Car.info.

Use high-quality residential proxies to bypass Cloudflare protection levels.

Focus on specific 'Specs' tab URLs for the most structured technical data.

Implement random delays and mouse movements if using browser automation to mimic human behavior.

Target license plate search parameters (?q=) to jump directly to detailed vehicle profiles.

Testimonials

What Our Users Say

Join thousands of satisfied users who have transformed their workflow

Jonathan Kogan

Jonathan Kogan

Co-Founder/CEO, rpatools.io

Automatio is one of the most used for RPA Tools both internally and externally. It saves us countless hours of work and we realized this could do the same for other startups and so we choose Automatio for most of our automation needs.

Mohammed Ibrahim

Mohammed Ibrahim

CEO, qannas.pro

I have used many tools over the past 5 years, Automatio is the Jack of All trades.. !! it could be your scraping bot in the morning and then it becomes your VA by the noon and in the evening it does your automations.. its amazing!

Ben Bressington

Ben Bressington

CTO, AiChatSolutions

Automatio is fantastic and simple to use to extract data from any website. This allowed me to replace a developer and do tasks myself as they only take a few minutes to setup and forget about it. Automatio is a game changer!

Sarah Chen

Sarah Chen

Head of Growth, ScaleUp Labs

We've tried dozens of automation tools, but Automatio stands out for its flexibility and ease of use. Our team productivity increased by 40% within the first month of adoption.

David Park

David Park

Founder, DataDriven.io

The AI-powered features in Automatio are incredible. It understands context and adapts to changes in websites automatically. No more broken scrapers!

Emily Rodriguez

Emily Rodriguez

Marketing Director, GrowthMetrics

Automatio transformed our lead generation process. What used to take our team days now happens automatically in minutes. The ROI is incredible.

Jonathan Kogan

Jonathan Kogan

Co-Founder/CEO, rpatools.io

Automatio is one of the most used for RPA Tools both internally and externally. It saves us countless hours of work and we realized this could do the same for other startups and so we choose Automatio for most of our automation needs.

Mohammed Ibrahim

Mohammed Ibrahim

CEO, qannas.pro

I have used many tools over the past 5 years, Automatio is the Jack of All trades.. !! it could be your scraping bot in the morning and then it becomes your VA by the noon and in the evening it does your automations.. its amazing!

Ben Bressington

Ben Bressington

CTO, AiChatSolutions

Automatio is fantastic and simple to use to extract data from any website. This allowed me to replace a developer and do tasks myself as they only take a few minutes to setup and forget about it. Automatio is a game changer!

Sarah Chen

Sarah Chen

Head of Growth, ScaleUp Labs

We've tried dozens of automation tools, but Automatio stands out for its flexibility and ease of use. Our team productivity increased by 40% within the first month of adoption.

David Park

David Park

Founder, DataDriven.io

The AI-powered features in Automatio are incredible. It understands context and adapts to changes in websites automatically. No more broken scrapers!

Emily Rodriguez

Emily Rodriguez

Marketing Director, GrowthMetrics

Automatio transformed our lead generation process. What used to take our team days now happens automatically in minutes. The ROI is incredible.

Related Web Scraping

Frequently Asked Questions About Car.info

Find answers to common questions about Car.info