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Fix get amazon product data erroring due to whitespace in headers #8971

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Fix get amazon product data erroring due to whitespace in headers #8971

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190afd4
updating DIRECTORY.md
Aug 7, 2023
c1d7692
Merge branch 'master' of https://github.com/caedenph/python
CaedenPH Aug 16, 2023
8bfdd14
fix(get-amazon-product-data): Remove whitespace in headers
CaedenPH Aug 16, 2023
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1 change: 1 addition & 0 deletions Amazon Product Data for headphones.csv
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Original file line number Diff line number Diff line change
@@ -0,0 +1 @@
,Product Title,Product Link,Current Price of the product,Product Rating,MRP of the product,Discount
18 changes: 12 additions & 6 deletions web_programming/get_amazon_product_data.py
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Original file line number Diff line number Diff line change
Expand Up @@ -19,11 +19,13 @@ def get_amazon_product_data(product: str = "laptop") -> DataFrame:
"""
url = f"https://www.amazon.in/laptop/s?k={product}"
header = {
"User-Agent": """Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36
(KHTML, like Gecko)Chrome/44.0.2403.157 Safari/537.36""",
"User-Agent": (
"Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36"
"(KHTML, like Gecko)Chrome/44.0.2403.157 Safari/537.36"
),
"Accept-Language": "en-US, en;q=0.5",
}
soup = BeautifulSoup(requests.get(url, headers=header).text)
soup = BeautifulSoup(requests.get(url, headers=header).text, features="lxml")
# Initialize a Pandas dataframe with the column titles
data_frame = DataFrame(
columns=[
Expand Down Expand Up @@ -74,8 +76,8 @@ def get_amazon_product_data(product: str = "laptop") -> DataFrame:
except ValueError:
discount = float("nan")
except AttributeError:
pass
data_frame.loc[len(data_frame.index)] = [
continue
data_frame.loc[str(len(data_frame.index))] = [
product_title,
product_link,
product_price,
Expand All @@ -97,4 +99,8 @@ def get_amazon_product_data(product: str = "laptop") -> DataFrame:

if __name__ == "__main__":
product = "headphones"
get_amazon_product_data(product).to_csv(f"Amazon Product Data for {product}.csv")
print(
get_amazon_product_data(product).to_csv(
f"Amazon Product Data for {product}.csv"
)
)