Scraping car listings with prices using Node.js and Cheerio

Soheil Sarala · 2024-12-19T05:28:04+00:00

Scraping car listings with prices from automotive websites is a common task for market research or price comparison. Node.js, combined with the Cheerio library, offers a lightweight and efficient way to scrape static websites. For sites with dynamic content, integrating Puppeteer with Node.js ensures that JavaScript-rendered elements are captured accurately. The first step is to inspect the website’s structure and locate the HTML tags containing car titles, prices, and additional details like year or mileage.Here’s an example using Cheerio to scrape car listings:const axios require('axios'); const cheerio require('cheerio');const url 'https://example.com/cars';axios.get(url, { headers: { 'User-Agent': 'Mozilla/5.0' } }) .then(response > { const $ cheerio.load(response.data); $('.car-item').each((i, el) > { const title $(el).find('.car-title').text().trim(); const price $(el).find('.car-price').text().trim(); console.log(Car: ${title}, Price: ${price}); }); }) .catch(err > { console.error('Error fetching data:', err); });For large-scale scraping, using a proxy service and handling rate limits ensures smooth operation. How do you handle missing data fields when scraping car details?

General Web Scraping

Scraping car listings with prices using Node.js and Cheerio

Posted by Soheil Sarala on 12/19/2024 at 5:28 am
Scraping car listings with prices from automotive websites is a common task for market research or price comparison. Node.js, combined with the Cheerio library, offers a lightweight and efficient way to scrape static websites. For sites with dynamic content, integrating Puppeteer with Node.js ensures that JavaScript-rendered elements are captured accurately. The first step is to inspect the website’s structure and locate the HTML tags containing car titles, prices, and additional details like year or mileage.
Here’s an example using Cheerio to scrape car listings:
```
const axios = require('axios');
const cheerio = require('cheerio');
const url = 'https://example.com/cars';
axios.get(url, { headers: { 'User-Agent': 'Mozilla/5.0' } })
  .then(response => {
    const $ = cheerio.load(response.data);
    $('.car-item').each((i, el) => {
      const title = $(el).find('.car-title').text().trim();
      const price = $(el).find('.car-price').text().trim();
      console.log(`Car: ${title}, Price: ${price}`);
    });
  })
  .catch(err => {
    console.error('Error fetching data:', err);
  });
```
For large-scale scraping, using a proxy service and handling rate limits ensures smooth operation. How do you handle missing data fields when scraping car details?
Lenz Dominic replied 2 days, 15 hours ago 2 Members · 1 Reply
1 Reply

Lenz Dominic

Member
12/20/2024 at 9:42 am

I use conditional checks to handle missing fields. For instance, if the price field is unavailable, I set a default value like “N/A” and log the issue for later review.

Scraping car listings with prices using Node.js and Cheerio

Lenz Dominic