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Adding a scrapy spider to get the data for some financial terms from …
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…wikipedia
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hardikp committed Apr 24, 2017
1 parent 86135ab commit 6aa2e7e
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11 changes: 11 additions & 0 deletions data/textdata/scrapy.cfg
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# Automatically created by: scrapy startproject
#
# For more information about the [deploy] section see:
# https://scrapyd.readthedocs.org/en/latest/deploy.html

[settings]
default = textdata.settings

[deploy]
#url = http://localhost:6800/
project = textdata
Empty file.
14 changes: 14 additions & 0 deletions data/textdata/textdata/items.py
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# -*- coding: utf-8 -*-

# Define here the models for your scraped items
#
# See documentation in:
# http://doc.scrapy.org/en/latest/topics/items.html

import scrapy


class TextdataItem(scrapy.Item):
# define the fields for your item here like:
# name = scrapy.Field()
pass
56 changes: 56 additions & 0 deletions data/textdata/textdata/middlewares.py
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# -*- coding: utf-8 -*-

# Define here the models for your spider middleware
#
# See documentation in:
# http://doc.scrapy.org/en/latest/topics/spider-middleware.html

from scrapy import signals


class TextdataSpiderMiddleware(object):
# Not all methods need to be defined. If a method is not defined,
# scrapy acts as if the spider middleware does not modify the
# passed objects.

@classmethod
def from_crawler(cls, crawler):
# This method is used by Scrapy to create your spiders.
s = cls()
crawler.signals.connect(s.spider_opened, signal=signals.spider_opened)
return s

def process_spider_input(response, spider):
# Called for each response that goes through the spider
# middleware and into the spider.

# Should return None or raise an exception.
return None

def process_spider_output(response, result, spider):
# Called with the results returned from the Spider, after
# it has processed the response.

# Must return an iterable of Request, dict or Item objects.
for i in result:
yield i

def process_spider_exception(response, exception, spider):
# Called when a spider or process_spider_input() method
# (from other spider middleware) raises an exception.

# Should return either None or an iterable of Response, dict
# or Item objects.
pass

def process_start_requests(start_requests, spider):
# Called with the start requests of the spider, and works
# similarly to the process_spider_output() method, except
# that it doesn’t have a response associated.

# Must return only requests (not items).
for r in start_requests:
yield r

def spider_opened(self, spider):
spider.logger.info('Spider opened: %s' % spider.name)
11 changes: 11 additions & 0 deletions data/textdata/textdata/pipelines.py
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# -*- coding: utf-8 -*-

# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: http://doc.scrapy.org/en/latest/topics/item-pipeline.html


class TextdataPipeline(object):
def process_item(self, item, spider):
return item
90 changes: 90 additions & 0 deletions data/textdata/textdata/settings.py
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# -*- coding: utf-8 -*-

# Scrapy settings for textdata project
#
# For simplicity, this file contains only settings considered important or
# commonly used. You can find more settings consulting the documentation:
#
# http://doc.scrapy.org/en/latest/topics/settings.html
# http://scrapy.readthedocs.org/en/latest/topics/downloader-middleware.html
# http://scrapy.readthedocs.org/en/latest/topics/spider-middleware.html

BOT_NAME = 'textdata'

SPIDER_MODULES = ['textdata.spiders']
NEWSPIDER_MODULE = 'textdata.spiders'


# Crawl responsibly by identifying yourself (and your website) on the user-agent
#USER_AGENT = 'textdata (+http://www.yourdomain.com)'

# Obey robots.txt rules
ROBOTSTXT_OBEY = True

# Configure maximum concurrent requests performed by Scrapy (default: 16)
#CONCURRENT_REQUESTS = 32

# Configure a delay for requests for the same website (default: 0)
# See http://scrapy.readthedocs.org/en/latest/topics/settings.html#download-delay
# See also autothrottle settings and docs
#DOWNLOAD_DELAY = 3
# The download delay setting will honor only one of:
#CONCURRENT_REQUESTS_PER_DOMAIN = 16
#CONCURRENT_REQUESTS_PER_IP = 16

# Disable cookies (enabled by default)
#COOKIES_ENABLED = False

# Disable Telnet Console (enabled by default)
#TELNETCONSOLE_ENABLED = False

# Override the default request headers:
#DEFAULT_REQUEST_HEADERS = {
# 'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8',
# 'Accept-Language': 'en',
#}

# Enable or disable spider middlewares
# See http://scrapy.readthedocs.org/en/latest/topics/spider-middleware.html
#SPIDER_MIDDLEWARES = {
# 'textdata.middlewares.TextdataSpiderMiddleware': 543,
#}

# Enable or disable downloader middlewares
# See http://scrapy.readthedocs.org/en/latest/topics/downloader-middleware.html
#DOWNLOADER_MIDDLEWARES = {
# 'textdata.middlewares.MyCustomDownloaderMiddleware': 543,
#}

# Enable or disable extensions
# See http://scrapy.readthedocs.org/en/latest/topics/extensions.html
#EXTENSIONS = {
# 'scrapy.extensions.telnet.TelnetConsole': None,
#}

# Configure item pipelines
# See http://scrapy.readthedocs.org/en/latest/topics/item-pipeline.html
#ITEM_PIPELINES = {
# 'textdata.pipelines.TextdataPipeline': 300,
#}

# Enable and configure the AutoThrottle extension (disabled by default)
# See http://doc.scrapy.org/en/latest/topics/autothrottle.html
#AUTOTHROTTLE_ENABLED = True
# The initial download delay
#AUTOTHROTTLE_START_DELAY = 5
# The maximum download delay to be set in case of high latencies
#AUTOTHROTTLE_MAX_DELAY = 60
# The average number of requests Scrapy should be sending in parallel to
# each remote server
#AUTOTHROTTLE_TARGET_CONCURRENCY = 1.0
# Enable showing throttling stats for every response received:
#AUTOTHROTTLE_DEBUG = False

# Enable and configure HTTP caching (disabled by default)
# See http://scrapy.readthedocs.org/en/latest/topics/downloader-middleware.html#httpcache-middleware-settings
#HTTPCACHE_ENABLED = True
#HTTPCACHE_EXPIRATION_SECS = 0
#HTTPCACHE_DIR = 'httpcache'
#HTTPCACHE_IGNORE_HTTP_CODES = []
#HTTPCACHE_STORAGE = 'scrapy.extensions.httpcache.FilesystemCacheStorage'
4 changes: 4 additions & 0 deletions data/textdata/textdata/spiders/__init__.py
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# This package will contain the spiders of your Scrapy project
#
# Please refer to the documentation for information on how to create and manage
# your spiders.
88 changes: 88 additions & 0 deletions data/textdata/textdata/spiders/wikipedia.py
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import scrapy
from scrapy.spiders import CrawlSpider
from w3lib.html import remove_tags, remove_tags_with_content


class WikipediaSpider(CrawlSpider):
name = 'wikipedia'
start_urls = ['https://en.wikipedia.org/wiki/Outline_of_finance']

def parse(self, response):
"""
Parse the response page
"""
url = response.url

if url in WikipediaSpider.start_urls:
return self._parse_topic_list(response)

else:
return self._parse_topic_response(response)

def _parse_topic_response(self, response):
"""
Parse the content
"""

# Get the title first
title = response.css('title::text').extract_first()

# Replace / with a space - creates issues with writing to file
title = title.replace('/', ' ')

content = response.css('div#mw-content-text')

# Just extract all the '<p></p>' children from this
text = ''
for child in content.xpath('//p'):

# Get the text from this child <p></p> tag
paragraph = child.extract()

# Remove <script>, <sup>, <math> tags with the content
paragraph = remove_tags_with_content(paragraph, which_ones=('script', 'sup', 'math'))
# Remove the rest of the tags without removing the content
paragraph = remove_tags(paragraph)

# Replace '&amp;' with '&'
paragraph = paragraph.replace('&amp;', '&')

# Replace 'U.S.' with 'US':
paragraph = paragraph.replace('U.S.', 'US')

# Some more replacements to improve the default tokenization
for c in '();.,[]"\'-:/%$+nnn':
paragraph = paragraph.replace(c, ' {} '.format(c))

# Add to the file
text += paragraph + '\n'

filename = 'wiki_data.txt'
f = open(filename, 'a')
f.write(text)
f.close()

def _parse_topic_list(self, response):
"""
Parse various topics from the list of topics
"""

# All of the links on this pages are in the bullet points
# Therefore, extract the 'ul' tags to get the list
content = response.css('div#mw-content-text')
lists = content.css('ul')

# Iterate through each list
for ul in lists:

# Iterate through each list item
for l in ul.css('li'):
# Extract the URL
url = l.css('a::attr(href)').extract_first()

# Skip external links as well as the links to the same page (e.g. TOC)
if url is None or 'wiki' not in url:
continue

next_page = response.urljoin(url)
yield scrapy.Request(next_page, callback=self.parse)

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