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Amazon Product Scraper | Python Project

At the time of online shopping it is very hard to find good product i.e. it is hard to compare between product in same category. So to solve this problem we can use this amazon product scrapper.


Features

Scrape the details of a product from Amazon using Python and Beautiful Soup. The details include:

  • Product Name

  • Product Price

  • Product Rating

  • Product Image

  • Customer Reviews


python project , nsp, python project for beginner , amazon , amazon product scrapper , 20204, 2025

Installation

We will setup the environment and install the required packages and libraries . Run the following command in the terminal to install the required packages and libraries.

pip install beautifulsoup4==4.9.1 bs4==0.0.1 lxml==4.9.1 parse==1.18.0 pyquery==1.4.1 requests==2.31.0 requests-html==0.10.0

Project code:

create a python file with name: product_scrapper.py , and copy paste the following code:

import requests
from bs4 import BeautifulSoup


class Product:
    def __init__(self, product_name: str):
        self.product_name = product_name

    def get_product(self):
        try:
            product_name = self.product_name
            product_name = product_name.replace(" ", "+")
            url = f"https://www.amazon.in/s?k={product_name}"
            headers = {
                "User-Agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 \
                    (KHTML, like Gecko) Chrome/88.0.4324.96 Safari/537.36"
            }
            r = requests.get(url, headers=headers)
            soup = BeautifulSoup(r.content, "html.parser")
            product = soup.find("div", {"class": "s-product-image-container"})
            product_link = product.find(
                "a", {"class": "a-link-normal"})["href"]
            product_link = "https://www.amazon.in" + product_link
            return {
                "data": product_link,
                "message": f"Product data has been fetched",
            }
        except:
            return {
                "data": None,
                "message": f"Unable to fetch product's data",
            }

    # Get product details
    def get_product_details(self):
        """
        Class - `Product`\n
        Example -\n
        ```python
        product = Product(product_name="watch")
        product.get_product_details()
        ```
        Return\n
        ```python
        return
        {
            "data": product_details,
            "message": f"Product detail has been fetched",
        }
        ```
        """
        try:
            product_link = self.get_product()["data"]
            headers = {
                "User-Agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 \
                    (KHTML, like Gecko) Chrome/88.0.4324.96 Safari/537.36"
            }
            r = requests.get(product_link, headers=headers)
            soup = BeautifulSoup(r.content, "html.parser")
            product_name = soup.find(
                "span", {"id": "productTitle"}).text.strip()
            product_price = soup.find(
                "span", {"class": "a-price-whole"}).text.strip()
            product_rating = soup.find(
                "span", {"class": "a-size-base a-color-base"}
            ).text.strip()
            product_details = {
                "product_name": product_name,
                "product_price": product_price,
                "product_rating": product_rating,
                "product_link": product_link,
            }
            return {
                "data": product_details,
                "message": f"Product detail has been fetched",
            }
        except:
            return {
                "data": None,
                "message": f"Unable to fetch product detail",
            }

    # Get product image
    def get_product_image(self):
        """
        Class - `Product`\n
        Example -\n
        ```python
        product = Product(product_name="watch")
        product.get_product_image()
        ```
        Return\n
        ```python
        return
        {
            "data": product_image,
            "message": f"Product image has been fetched",
        }
        ```
        """
        try:
            product_link = self.get_product()["data"]
            headers = {
                "User-Agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 \
                    (KHTML, like Gecko) Chrome/88.0.4324.96 Safari/537.36"
            }
            r = requests.get(product_link, headers=headers)
            soup = BeautifulSoup(r.content, "html.parser")
            product_image = soup.find(
                "img", {"class": "a-dynamic-image a-stretch-horizontal"}
            )["src"]

            return {
                "data": product_image,
                "message": f"Product image has been fetched",
            }
        except:
            return {
                "data": None,
                "message": f"Unable to fetch product image",
            }

    # Get customer reviews
    def customer_review(self):
        """
        Class - `Product`\n
        Example -\n
        ```python
        product = Product(product_name="watch")
        product.customer_review()
        ```
        Return\n
        ```python
        return
        {
            "data": review,
            "message": f"Product review has been fetched",
        }
        ```
        """
        try:
            product_link = self.get_product()["data"]
            headers = {
                "User-Agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 \
                    (KHTML, like Gecko) Chrome/88.0.4324.96 Safari/537.36"
            }
            r = requests.get(product_link, headers=headers)
            soup = BeautifulSoup(r.content, "html.parser")

            review_elements = soup.find_all("div", {"data-hook": "review"})

            for review_element in review_elements:
                reviewer_name = review_element.find(
                    "span", {"class": "a-profile-name"}
                ).text
                rating = (
                    review_element.find("i", {"class": "a-icon-star"})
                    .find("span", {"class": "a-icon-alt"})
                    .text
                )
                review_title = review_element.find(
                    "a", {"data-hook": "review-title"}
                ).text.strip()
                review_date = review_element.find(
                    "span", {"data-hook": "review-date"}
                ).text
                review_text = review_element.find(
                    "span", {"data-hook": "review-body"}
                ).text.strip()
                review = [reviewer_name, rating,
                          review_title, review_date, review_text]
            return {
                "data": review,
                "message": f"Product review has been fetched",
            }
        except:
            return {
                "data": None,
                "message": f"Unable to fetch product review",
            }


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