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import requests
from bs4 import BeautifulSoup
import pandas as pd
import numpy as np
def get_item_description(item_url):
response = requests.get(item_url)
soup = BeautifulSoup(response.text, 'html.parser')
iframe = soup.find(id='desc_ifr')
if iframe:
iframe_src = iframe['src']
iframe_response = requests.get(iframe_src)
iframe_soup = BeautifulSoup(iframe_response.text, 'html.parser')
return iframe_soup.get_text(strip=True)
else:
return 'No Description'
def search_ebay_sold_items(search_query):
# Replace spaces in the search query with '+'
query = search_query.replace(' ', '+')
counter = 0
prices = []
img_urls = []
for pgn in range(2):
if (counter == 100):
break
counter += 1
# eBay URL for sold listings
url = f"https://www.ebay.com/sch/i.html?_nkw={query}&_sop=12&LH_Sold=1&LH_Complete=1&rt=nc&LH_ItemCondition=3000&_pgn={pgn}"
# Send a request to the eBay URL
response = requests.get(url)
# Parse the response using BeautifulSoup
soup = BeautifulSoup(response.text, 'html.parser')
# Find listings - Adjust the selector as needed
listings = soup.find_all('li', class_='s-item')
# Extract and print details from each listing
for item in listings[1:]:
price = item.find('span', class_='s-item__price').text if item.find('span', class_='s-item__price') else 'No Price'
img_div = item.find('div', class_='s-item__image-wrapper')
img_url = img_div.find('img')['src'] if img_div and img_div.find('img') else 'No Image URL'
try:
prices.append(float(price.replace("$","").replace(",",'')))
except:
pass
img_urls.append(img_url)
prices = np.array(prices)
stats = min(prices), np.percentile(prices, 25), np.percentile(prices, 50), np.percentile(prices, 75), max(prices)
return stats
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