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72f6000365
* updating DIRECTORY.md
* fix(get-amazon-product-data): Remove whitespace in headers
* refactor(get-amazon-product-data): Don't print to_csv
---------
Co-authored-by: github-actions <${GITHUB_ACTOR}@users.noreply.github.com>
103 lines
3.5 KiB
Python
103 lines
3.5 KiB
Python
"""
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This file provides a function which will take a product name as input from the user,
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and fetch from Amazon information about products of this name or category. The product
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information will include title, URL, price, ratings, and the discount available.
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"""
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from itertools import zip_longest
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import requests
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from bs4 import BeautifulSoup
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from pandas import DataFrame
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def get_amazon_product_data(product: str = "laptop") -> DataFrame:
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"""
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Take a product name or category as input and return product information from Amazon
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including title, URL, price, ratings, and the discount available.
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"""
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url = f"https://www.amazon.in/laptop/s?k={product}"
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header = {
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"User-Agent": (
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"Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36"
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"(KHTML, like Gecko)Chrome/44.0.2403.157 Safari/537.36"
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),
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"Accept-Language": "en-US, en;q=0.5",
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}
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soup = BeautifulSoup(requests.get(url, headers=header).text, features="lxml")
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# Initialize a Pandas dataframe with the column titles
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data_frame = DataFrame(
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columns=[
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"Product Title",
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"Product Link",
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"Current Price of the product",
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"Product Rating",
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"MRP of the product",
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"Discount",
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]
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)
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# Loop through each entry and store them in the dataframe
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for item, _ in zip_longest(
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soup.find_all(
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"div",
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attrs={"class": "s-result-item", "data-component-type": "s-search-result"},
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),
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soup.find_all("div", attrs={"class": "a-row a-size-base a-color-base"}),
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):
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try:
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product_title = item.h2.text
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product_link = "https://www.amazon.in/" + item.h2.a["href"]
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product_price = item.find("span", attrs={"class": "a-offscreen"}).text
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try:
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product_rating = item.find("span", attrs={"class": "a-icon-alt"}).text
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except AttributeError:
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product_rating = "Not available"
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try:
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product_mrp = (
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"₹"
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+ item.find(
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"span", attrs={"class": "a-price a-text-price"}
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).text.split("₹")[1]
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)
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except AttributeError:
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product_mrp = ""
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try:
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discount = float(
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(
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(
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float(product_mrp.strip("₹").replace(",", ""))
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- float(product_price.strip("₹").replace(",", ""))
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)
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/ float(product_mrp.strip("₹").replace(",", ""))
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)
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* 100
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)
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except ValueError:
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discount = float("nan")
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except AttributeError:
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continue
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data_frame.loc[str(len(data_frame.index))] = [
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product_title,
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product_link,
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product_price,
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product_rating,
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product_mrp,
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discount,
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]
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data_frame.loc[
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data_frame["Current Price of the product"] > data_frame["MRP of the product"],
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"MRP of the product",
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] = " "
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data_frame.loc[
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data_frame["Current Price of the product"] > data_frame["MRP of the product"],
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"Discount",
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] = " "
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data_frame.index += 1
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return data_frame
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if __name__ == "__main__":
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product = "headphones"
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get_amazon_product_data(product).to_csv(f"Amazon Product Data for {product}.csv")
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