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
/searchor/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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