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scraper.py
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# 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
import urlparse
import scraperwiki
import urllib2
import lxml.etree
import mechanize
#next_link = 0
def scrape_table(root):
#create a record to hold the data
record = {}
#grab all table rows <tr> in table class="tblSearchResults"
rows = root.cssselect("table.caseStyle tr")
#for each row, loop through this
for row in rows:
#create a list of all cells <td> in that row
table_cells = row.cssselect("td")
if table_cells:
#if there is a cell, record the contents in our dataset, the first cell [0] in 'recipient' and so on
record['Case Style'] = table_cells[0].text_content()
record['Date Filed and Judge'] = table_cells[1].text_content()
#record['Case Number'] = table_cells[0].strong.text_content()
#this line adds 1 to the ID no. we set at 0 earlier
#idno=idno+1
#record['ID'] = idno
print record, '------------'
counts = root.cssselect("div.CountsContainer")
countstotal = len(counts)
print "total number of counts:", countstotal
#countsrange = range(0, countstotal+1)
#for count in countsrange:
id=0
for count in counts:
id+=1
if counts:
record['Count'+str(id)] = count.text_content()
'''rows = count.cssselect('div.CountsContainer tr')
if rows:
id = 0
#rowstotal = len(rows)
#rowsrange = range(0,rowstotal+1)
#create a record to hold the data
#record = {}
#for each row, loop through this
#for rownum in rowsrange:
for row in rows:
id + 1
record["'Count'+str(id)"] = row[1].text_content()
#record['Count'+str(id)+'as disposed:'] = row[2].text_content()
#print "scraping row", rownum
#create a list of all cells <td> in that row
table_cells = row.cssselect("td")
if table_cells:
#print table_cells
record['Charges'] = table_cells[0].text_content()
record['Count Description:'] = table_cells[1].text_content()
record['Outcome:'] = table_cells[-1].text_content()
print record, '------------'
# Save the record to the datastore - 'ID' is our unique key - '''
print 'ALL DATA:', record
scraperwiki.sqlite.save(['Date Filed and Judge'], record)
'''br = mechanize.Browser()
br.set_handle_robots( False )
br.open("http://www.oscn.net/dockets/Search.aspx")
for f in br.forms():
print f
formcount=0
for frm in br.forms():
if frm.attrs[class] == "search-form":
break
formcount=formcount+1
br.select_form(nr=formcount)
#br.select_form('form')
br.form[ 'db' ] = ['garfield',]
#Get the search results
br.submit()
br.select_form(nr=0)
print br.form
br['db'] = ['garfield']
br['dcct'] = ['31']
br['FiledDateL'] = str('01/01/2011')
print br
response = br.submit()
print response
html = response.read()
print html
root = lxml.html.fromstring(html)
scrape_table(root)'''
'''case_numbers =['5237521','5244439','5237629','5237823','5234026']
55 #go through the schoolIDs list above, and for each ID...
56 for item in schoolIDs:
57 #show it in the console
58 print item
59 #create a URL called 'next_link' which adds that ID to the end of the base_url variable
60 next_link = base_url+item+'.html'
61 #pass that new concatenated URL to a function, 'scrape_page', which is scripted above
62 scrape_page(next_link)'''
'''def addNumbers(num)
sum=0
for i in range(0,num+1)
sum=sum+i
return sum'''
'''def Add_Case_No():
for i in range(1,744):
global next_link
nextlink = 0
next_link= next_link + i
return next_link
print next_link'''
def scrape_and_look_for_next_link(url):
html = scraperwiki.scrape(url)
#print html
root = lxml.html.fromstring(html)
scrape_table(root)
global i
i = (i + 1)
if i < 10:
next_url = base_url+'GetCaseInformation.aspx?db=garfield&number=CF-2011-'+str(i)
print next_url
scrape_and_look_for_next_link(next_url)
# ---------------------------------------------------------------------------
# START HERE: define your starting URL - then
# call a function to scrape the first page in the series.
# ---------------------------------------------------------------------------
base_url = 'http://www.oscn.net/dockets/'
starting_url = urlparse.urljoin(base_url, 'GetCaseInformation.aspx?db=garfield&number=CF-2011-1')
print starting_url
global i
for i in range(0,1):
#There are 743 cases but 468 appears to be the server request limit
scrape_and_look_for_next_link(starting_url)
# # 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".