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from lxml import html | |
import csv | |
import os | |
import requests | |
from exceptions import ValueError | |
from time import sleep | |
from random import randint | |
def parse(url): | |
headers = { | |
'User-Agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/42.0.2311.90 Safari/537.36' | |
} | |
try: | |
# Retrying for failed requests | |
for i in range(20): | |
# Generating random delays | |
sleep(randint(1,3)) | |
# Adding verify=False to avold ssl related issues | |
response = requests.get(url, headers=headers, verify=False) | |
if response.status_code == 200: | |
doc = html.fromstring(response.content) | |
XPATH_NAME = '//h1[@id="title"]//text()' | |
XPATH_SALE_PRICE = '//span[contains(@id,"ourprice") or contains(@id,"saleprice")]/text()' | |
XPATH_ORIGINAL_PRICE = '//td[contains(text(),"List Price") or contains(text(),"M.R.P") or contains(text(),"Price")]/following-sibling::td/text()' | |
XPATH_CATEGORY = '//a[@class="a-link-normal a-color-tertiary"]//text()' | |
XPATH_AVAILABILITY = '//div[@id="availability"]//text()' | |
RAW_NAME = doc.xpath(XPATH_NAME) | |
RAW_SALE_PRICE = doc.xpath(XPATH_SALE_PRICE) | |
RAW_CATEGORY = doc.xpath(XPATH_CATEGORY) | |
RAW_ORIGINAL_PRICE = doc.xpath(XPATH_ORIGINAL_PRICE) | |
RAw_AVAILABILITY = doc.xpath(XPATH_AVAILABILITY) | |
NAME = ' '.join(''.join(RAW_NAME).split()) if RAW_NAME else None | |
SALE_PRICE = ' '.join(''.join(RAW_SALE_PRICE).split()).strip() if RAW_SALE_PRICE else None | |
CATEGORY = ' > '.join([i.strip() for i in RAW_CATEGORY]) if RAW_CATEGORY else None | |
ORIGINAL_PRICE = ''.join(RAW_ORIGINAL_PRICE).strip() if RAW_ORIGINAL_PRICE else None | |
AVAILABILITY = ''.join(RAw_AVAILABILITY).strip() if RAw_AVAILABILITY else None | |
if not ORIGINAL_PRICE: | |
ORIGINAL_PRICE = SALE_PRICE | |
# retrying in case of captcha | |
if not NAME: | |
raise ValueError('captcha') | |
data = { | |
'NAME': NAME, | |
'SALE_PRICE': SALE_PRICE, | |
'CATEGORY': CATEGORY, | |
'ORIGINAL_PRICE': ORIGINAL_PRICE, | |
'AVAILABILITY': AVAILABILITY, | |
'URL': url, | |
} | |
return data | |
elif response.status_code==404: | |
break | |
except Exception as e: | |
print e | |
def ReadAsin(): | |
# AsinList = csv.DictReader(open(os.path.join(os.path.dirname(__file__),"Asinfeed.csv"))) | |
AsinList = ['B075QLRSPK', | |
'B0731KJVGG', | |
'B075KQ622T', | |
'B071YC3G5V', | |
'B01MDMJGYT', | |
'B071VZKDDP', | |
'B075FLG6MV', | |
'B075TZQRHN', | |
'B01MQUB0QN', | |
'B075XKFMQC' ] | |
extracted_data = [] | |
for i in AsinList: | |
url = "http://www.amazon.com/dp/" + i | |
print "Processing: " + url | |
# Calling the parser | |
parsed_data = parse(url) | |
if parsed_data: | |
extracted_data.append(parsed_data) | |
# Writing scraped data to csv file | |
with open('scraped_data.csv', 'w') as csvfile: | |
fieldnames = ['NAME','SALE_PRICE','CATEGORY','ORIGINAL_PRICE','AVAILABILITY','URL'] | |
writer = csv.DictWriter(csvfile, fieldnames=fieldnames, quoting=csv.QUOTE_ALL) | |
writer.writeheader() | |
for data in extracted_data: | |
writer.writerow(data) | |
if __name__ == "__main__": | |
ReadAsin() |
``
C:\WINDOWS\system32>C:\Users\snyde\Documents\amazonscraper\Amazon_Scraper\amazon_product.py
File "C:\Users\snyde\Documents\amazonscraper\Amazon_Scraper\amazon_product.py", line 52
AsinList = [''B077XM396G',
^
SyntaxError: invalid syntax
C:\WINDOWS\system32>"
The error is with one of the ASINs for a product.... Anyone have any tips to correct this?
If I were smarter I'd actually error check my code.... I see what I did now. Whoops.
Thank you for the code! Hopefully this makes my job a little bit easier.
How can I change this script to work for amazon.in site.
Thanks in advance.
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Thanks for sharing the code. I used your code above to write a simple Python script, which saves the scraped data in an JSON (or CSV) output file, reads and compares wish prices from an JSON (or CSV) input file to that file and sends an email alert if the scraped price drops to (or below) the given wish price. Here is the link to it on GitHub.