scraper.py

# This is a template for a Python scraper on morph.io (https://morph.io)
# including some code snippets below that you should find helpful

# import scraperwiki
# import lxml.html
#
# # Read in a page
# html = scraperwiki.scrape("http://foo.com")
#
# # Find something on the page using css selectors
# root = lxml.html.fromstring(html)
# root.cssselect("div[align='left']")
#
# # Write out to the sqlite database using scraperwiki library
# scraperwiki.sqlite.save(unique_keys=['name'], data={"name": "susan", "occupation": "software developer"})
#
# # An arbitrary query against the database
# scraperwiki.sql.select("* from data where 'name'='peter'")

# You don't have to do things with the ScraperWiki and lxml libraries.
# You can use whatever libraries you want: https://morph.io/documentation/python
# All that matters is that your final data is written to an SQLite database
# called "data.sqlite" in the current working directory which has at least a table
# called "data".
import scraperwiki         
import lxml.html 
import uuid
import datetime

# Blank Python

ASINS = ["B00OS5MTCA","B082VZWBRK","B010TQY7A8","B07RT2XQMY","B013WC0P2A"]
summary = ""

for asin in ASINS:
    url = "http://www.amazon.com/dp/"+asin
    print(url)
    html = scraperwiki.scrape(url)
    print(html)
    root = lxml.html.fromstring(html)
    print(root)
    for title in root.cssselect("span[id='btAsinTitle']"):  
        print(title)
        summary += title.text +":  "
        break
    for price in root.cssselect("span[id='actualPriceValue'] b"):
        summary += price .text +"<br>"
        break
    summary += url + "<br>"

now = datetime.datetime.now()
data = {
    'link': "http://www.amazon.com/"+"&uuid="+str(uuid.uuid1()),
    'title': "Price Monitoring " + str(now),
    'description': summary,
    'pubDate': str(now) ,
}
scraperwiki.sqlite.save(unique_keys=['link'],data=data)