Prompt

How do I scrape eBay listings into a spreadsheet?

Technology / Data Infrastructure1 observationLast seen Jul 15, 2026

Latest observation

Jul 15, 2026OpenAI APIWeb search: off

There are a few ways to do it, depending on how automated and reliable you want it to be.

Option 1: Use eBay’s built-in export tools

If you’re dealing with your own listings or orders, eBay sometimes provides downloadable reports or CSV exports in Seller Hub. This is the easiest and safest route.

Option 2: Use a browser + spreadsheet workflow

If you only need a small number of listings:

  1. Search eBay for the items you want.
  2. Copy the visible listing info:
    • title
    • price
    • shipping
    • seller
    • condition
    • item URL
  3. Paste into Excel or Google Sheets.
  4. Use formulas or scripts to clean the data.

This is manual, but works for small jobs.

Option 3: Use a scraping tool

For larger batches, use a no-code scraper such as:

  • Octoparse
  • ParseHub
  • Apify
  • Browse AI

Typical workflow:

  1. Enter the eBay search results URL.
  2. Define the fields you want.
  3. Run the scraper.
  4. Export the results as CSV or XLSX.
  5. Open in Excel or Google Sheets.

Option 4: Use code with requests + parsing

If you’re comfortable with Python, you can fetch search pages and extract listing data, then save to CSV.

A simple example pattern:

import requests
from bs4 import BeautifulSoup
import csv

url = "https://www.ebay.com/sch/i.html?_nkw=laptop"
headers = {"User-Agent": "Mozilla/5.0"}
html = requests.get(url, headers=headers).text
soup = BeautifulSoup(html, "html.parser")

rows = []
for item in soup.select(".s-item"):
    title_el = item.select_one(".s-item__title")
    price_el = item.select_one(".s-item__price")
    link_el = item.select_one("a.s-item__link")
    if not title_el or not price_el or not link_el:
        continue
    rows.append({
        "title": title_el.get_text(strip=True),
        "price": price_el.get_text(strip=True),
        "url": link_el.get("href")
    })

with open("ebay_listings.csv", "w", newline="", encoding="utf-8") as f:
    writer = csv.DictWriter(f, fieldnames=["title", "price", "url"])
    writer.writeheader()
    writer.writerows(rows)

Then open ebay_listings.csv in Excel or import it into Google Sheets.

Important notes

  • Check eBay’s terms of service and robots rules before scraping.
  • Some pages load content dynamically, so simple scraping may miss data.
  • If you need a lot of pages, you may need pagination handling, delays, and better parsing.
  • Avoid aggressive scraping to prevent getting blocked.

Best choice

  • Few listings: manual copy/paste
  • Moderate, repeated work: no-code scraper
  • Custom automation: Python script
  • Your own seller data: eBay export tools

If you want, I can help you with:

  1. a Google Sheets formula/script,
  2. a Python scraper, or
  3. a no-code tool setup for eBay.

Observation history

How did Obsurfable measure this prompt?

Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.

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OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, Meta AI, Qwen.

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