How to Scrape Mercari Website?

 Scraping Mercari website data is useful for tracking product prices, demand trends, seller activity, and resale market insights. Below is a clear, practical guide.

What Data Can You Scrape from Mercari?

  • Product title & description
  • Price & currency
  • Item condition
  • Seller name & ratings
  • Category & brand
  • Listing status (available/sold)
  • Images & posting date

Method 1: Scraping Mercari Using Python

Step 1: Install Required Libraries

pip install requests beautifulsoup4 pandas

Step 2: Send a Request

import requests url = "https://www.mercari.com/search/?keyword=iphone" headers = {"User-Agent": "Mozilla/5.0"} response = requests.get(url, headers=headers) html = response.text

Step 3: Parse the HTML

from bs4 import BeautifulSoup soup = BeautifulSoup(html, "html.parser") items = soup.find_all("li", class_="item-grid__item")

Step 4: Extract Listing Data

data = [] for item in items: title = item.find("p", class_="item-name").text.strip() price = item.find("span", class_="item-price").text.strip() data.append([title, price])

Step 5: Save to CSV

import pandas as pd df = pd.DataFrame(data, columns=["Title", "Price"]) df.to_csv("mercari_listings.csv", index=False)

Method 2: Scraping Mercari’s API (Recommended)

Mercari loads most data via internal API calls:

  • Open browser DevTools → Network → XHR
  • Search for /search or /items
  • Copy request headers & parameters
  • Parse clean JSON responses

This method is faster and more reliable than HTML scraping.

Common Challenges with Mercari Scraping

  • Heavy JavaScript rendering
  • Cloudflare & bot detection
  • Frequent layout changes
  • Geo-based restrictions

Best Practices

  • Use residential or rotating proxies
  • Add random delays between requests
  • Rotate user agents
  • Avoid aggressive scraping

Scrape Mercari Without Blocks or Maintenance

Mercari scraping can break often due to anti-bot measures. Web Scraping HQ provides robust Mercari scrapers with proxy rotation, CAPTCHA handling, and real-time data delivery.

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