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scraper.py
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scraper.py
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# -*- coding: utf-8 -*-
"""
Scrapes the website of the SEC for meetings related to the
implementation of Dodd-Frank. It outputs data in a format that is more
easily consumable for our Dodd-Frank Tracker[1]. The data provided here
is still pretty raw, but easily consumable by other tools.
[1] http://reporting.sunlightfoundation.com/doddfrank/
"""
import re
import sys
import datetime
import hashlib
from pprint import pprint
import lxml.html
import requests
from dateutil.parser import parse as dateparse
try:
import scraperwiki
except ImportError:
pass
BaseUrl = 'http://sec.gov'
def log_error(url, exception):
print >>sys.stderr, str(exception)
scraperwiki.sqlite.save(table_name='errors',
unique_keys=['url'],
data={'url': url,
'description': str(exception),
'context': str(getattr(exception, 'context', '')),
'timestamp': datetime.datetime.now()
})
def get_homepage():
url = 'http://sec.gov/spotlight/regreformcomments.shtml'
return requests.get(url).content
def get_comment_urls(page):
return [BaseUrl + x for x in re.findall(r'<a href="(.*?)">are available', page)]
def scrape():
page = get_homepage()
comment_urls = get_comment_urls(page)
meetings = []
for url in comment_urls:
for data in parse_comment_page(url):
meetings.append(data)
return meetings
def get_category(page):
try:
category = lxml.html.fromstring(page).cssselect('h1')[0].text_content().split('\n')[1].strip()
except IndexError:
try:
category = lxml.html.fromstring(page).cssselect('h1')[0].text_content().split(':')[1].strip()
except IndexError:
category = re.search(r'Comments on (.*)$', lxml.html.fromstring(page).cssselect('h1')[0].text_content()).groups()[0]
return category
def parse_comment_page(url):
page = requests.get(url).content
category = get_category(page)
meeting_section = re.search(r'<a name="meetings" id="meetings">.*', page, re.S)
if not meeting_section:
return
doc = lxml.html.fromstring(meeting_section.group())
rows = doc.cssselect('tr')
for row in rows:
cells = row.cssselect('td')
try:
date = dateparse(cells[0].text_content())
except ValueError:
continue
meeting = cells[1].cssselect('a')[0]
pdf_url = BaseUrl + meeting.attrib['href']
meeting_title = meeting.text_content()
try:
meeting = parse_meeting_description(meeting_title)
meeting.update({'url': url,
'pdf_url': pdf_url,
'meeting_time': date.isoformat(),
'category': category, })
yield meeting
except Exception as e:
log_error(url, e)
#def parse_meeting_description(text):
# regex = re.compile(r'''^Memorandum (?:from )?(?:the )?(?P<from>.*?)(?:[Rr]egarding|re:)(?: an )? (?P<meeting_time>(?:January|February|March|April|May|June|July|August|September|October|November|December) \d\d?, \d{4})?,? ?(?P<type>.+?)(?:with )?(?:(?:a representative|representatives) (?:of|from) )?(?P<remainder>.*)''')
# m = regex.search(text)
# if not m:
# raise Exception('Unparseable: {0}'.format(text))
# data = m.groupdict()
# data['description'] = text
# #data['visitors'] = re.sub(r'(r|R)epresentatives? (of|from) ', '', data['attendees'])
# data['organizations'] = parse_attendees(data['remainder'])
# return data
def parse_meeting_description(text):
(sender, date, commtype, remainder) = parse_meeting_description_stage1(text)
organizations = parse_attendees(remainder)
return {
'description': text,
'from': sender or '',
'meeting_time': date,
'type': commtype or '',
'organizations': organizations
}
def parse_meeting_description_stage1(text):
class Sentence(object):
def __init__(self, _text):
self.text = _text
def __str__(self):
return s.text
s = Sentence(text)
def eat(*args):
for w in args:
if s.text.lower().startswith(w.lower()):
t = s.text[:len(w)]
s.text = s.text[len(w):].strip()
return t
return None
def eat_pattern(p):
m = re.match(u'^({0}).*'.format(p), s.text)
if m:
t = m.group(1)
s.text = s.text[len(t):].strip()
return t
else:
return None
def until(*args):
for w in args:
offset = s.text.lower().find(w.lower())
if offset >= 0:
t = s.text[:offset].strip()
s.text = s.text[offset+len(w):].strip()
return t
return None
eat('Memorandum')
eat('from')
eat('the')
sender = until('regarding', 're:')
eat('an ')
eat('a ')
date = eat_pattern('(?:January|February|March|April|May|June|July|August|September|October|November|December) \d\d?, \d{4}?')
eat(',')
commtype = until('with ', 'between ')
eat('a ')
eat('members ')
eat('and ')
eat('representatives', 'representative')
eat('from ', 'of ')
eat('the ')
party = s.text.strip()
return (sender, date, commtype, party)
def parse_attendees(descr):
company_suffixes = re.compile(r", (Inc|LLC|LLP)[.]?")
company_suffixes = re.compile(r', (LLC|LLP|MLP|Corp|Corporation|Inc)[.]?', re.IGNORECASE)
separators = re.compile(ur"(?:\band the\b|\band\b|;|,)", re.IGNORECASE)
#separators = re.compile(r",(?: (?:and )?(?:the)?)? ", re.IGNORECASE)
parts = separators.split(company_suffixes.sub(r" \1", descr))
return [strip_words(p, u'representatives', u'representative', u'members', u'office', u'staff', u'of', u'from', u'the', u'organized', u'by', u'meeting', u'conference call')
for p in (p.strip() for p in parts)
if len(p) > 0]
def strip_words(s, *words):
modified = True
while modified:
modified = False
for w in words:
prefixw = w + ' '
if s.startswith(prefixw):
s = s[len(prefixw):].strip()
modified = True
suffixw = ' ' + s
if s.endswith(suffixw):
s = s[:-len(suffixw)].strip()
modified = True
return s
def dict_hash(d, hashfunc=hashlib.md5):
if isinstance(d, dict) == False:
import ipdb; ipdb.set_trace()
d_hash = hashfunc()
for (k, v) in sorted(d.items()):
d_hash.update(k.encode('utf-8', 'replace'))
if v:
d_hash.update(v.encode('utf-8', 'replace'))
return d_hash.hexdigest()
class DictSlicer(object):
def __init__(self, *ks):
self.ks = ks
def __call__(self, d):
return dict(((k, v) for (k, v) in d.iteritems() if k in self.ks))
def save_meetings(meetings):
# The same meetings are listed on multiple pages. The important info comes
# the description so we just make a dict keyed by the description.
slicer = DictSlicer('category', 'meeting_time', 'from', 'url', 'pdf_url', 'type')
meetings_index = dict(((dict_hash(slicer(m)), m) for m in meetings))
meetings = meetings_index.values()
all_keys = ['category',
'description',
'from',
'meeting_time',
'pdf_url',
'type',
'url',
'visitors']
meeting_records = []
organization_records = []
for m in meetings:
r = dict.fromkeys(all_keys, '')
for key in all_keys:
r[key] = m.get(key, '')
meeting_records.append(r)
for org_name in m['organizations']:
if not org_name:
print org_name
sys.exit(1)
organization_records.append({
'url': m['url'],
'pdf_url': m['pdf_url'],
'org_name': org_name
})
scraperwiki.sqlite.save(table_name='meetings',
unique_keys=['pdf_url'],
data=meeting_records)
scraperwiki.sqlite.save(table_name='organizations',
unique_keys=['pdf_url',
'org_name'],
data=organization_records)
if __name__ == '__main__':
meetings = scrape()
save_meetings(meetings)
pprint(meetings, indent=4, width=8, stream=sys.stdout)
if __name__ == 'scraper':
meetings = scrape()
save_meetings(meetings)