Is it possible to use the eBay API to see the historical prices of a particular product?

[erick.i-374]

Hi, I have been using the Finding API to perform some searches on the eBay site, so far I have this code:

import json

import pandas as pd

from ebaysdk.finding import Connection as finding

from bs4 import BeautifulSoup

from config import app_id

Keywords = input('Enter your keyword/s Ex: Thinkpad t470:''\n')

api = finding(appid = app_id, siteid='EBAY-US', config_file=None)

api_request = { 'keywords': Keywords, 'outputSelector' : 'SellerInfo' }

response = api.execute('findItemsByKeywords', api_request)

soup = BeautifulSoup(response.content, 'lxml')

totalentries = int(soup.find('totalentries').text)

items = soup.find_all('item')

# Create a list to store data

data = []

def res_print():

    for item in items:

        title = item.title.string.lower().strip()

        price = int(round(float(item.currentprice.string)))

        url = item.viewitemurl.string.lower()

        seller = item.sellerusername.text.lower()

        listingtype = item.listingtype.string.lower()

       # Check if the listing type is fixed price

        if listingtype == 'fixedprice':

            # Add data to the list as dictionaries

            data.append({

                'Title': title,

                'Price': price,

                'URL': url,

                'Seller': seller,

                'Listing Type': listingtype

            })

# Sort the items by price from lowest to highest

items.sort(key=lambda x: float(x.currentprice.string))

res_print()

# Create a DataFrame from the dictionary list

df = pd.DataFrame(data)

# Export the DataFrame as a CSV file

df.to_csv('ebay_results.csv', index=False)

dfStyler = df.style.set_properties(**{'text-align': 'left'})

dfStyler.set_table_styles([dict(selector='th', props=[('text-align', 'left')])])

However now I need to see the historical prices of each product listed once I run the code. Can someone tell me if it is possible to do it?

Thank you very much.