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Adding a scrapy spider to get the data for some financial terms from …
…wikipedia
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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 | ||
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[settings] | ||
default = textdata.settings | ||
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[deploy] | ||
#url = http://localhost:6800/ | ||
project = textdata |
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# -*- coding: utf-8 -*- | ||
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# Define here the models for your scraped items | ||
# | ||
# See documentation in: | ||
# http://doc.scrapy.org/en/latest/topics/items.html | ||
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import scrapy | ||
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class TextdataItem(scrapy.Item): | ||
# define the fields for your item here like: | ||
# name = scrapy.Field() | ||
pass |
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# -*- coding: utf-8 -*- | ||
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# Define here the models for your spider middleware | ||
# | ||
# See documentation in: | ||
# http://doc.scrapy.org/en/latest/topics/spider-middleware.html | ||
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from scrapy import signals | ||
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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. | ||
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@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 | ||
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def process_spider_input(response, spider): | ||
# Called for each response that goes through the spider | ||
# middleware and into the spider. | ||
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# Should return None or raise an exception. | ||
return None | ||
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def process_spider_output(response, result, spider): | ||
# Called with the results returned from the Spider, after | ||
# it has processed the response. | ||
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# Must return an iterable of Request, dict or Item objects. | ||
for i in result: | ||
yield i | ||
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def process_spider_exception(response, exception, spider): | ||
# Called when a spider or process_spider_input() method | ||
# (from other spider middleware) raises an exception. | ||
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# Should return either None or an iterable of Response, dict | ||
# or Item objects. | ||
pass | ||
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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. | ||
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# Must return only requests (not items). | ||
for r in start_requests: | ||
yield r | ||
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def spider_opened(self, spider): | ||
spider.logger.info('Spider opened: %s' % spider.name) |
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# -*- coding: utf-8 -*- | ||
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# 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 | ||
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class TextdataPipeline(object): | ||
def process_item(self, item, spider): | ||
return item |
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# -*- coding: utf-8 -*- | ||
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# 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 | ||
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BOT_NAME = 'textdata' | ||
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SPIDER_MODULES = ['textdata.spiders'] | ||
NEWSPIDER_MODULE = 'textdata.spiders' | ||
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# Crawl responsibly by identifying yourself (and your website) on the user-agent | ||
#USER_AGENT = 'textdata (+http://www.yourdomain.com)' | ||
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# Obey robots.txt rules | ||
ROBOTSTXT_OBEY = True | ||
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# Configure maximum concurrent requests performed by Scrapy (default: 16) | ||
#CONCURRENT_REQUESTS = 32 | ||
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# 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 | ||
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# Disable cookies (enabled by default) | ||
#COOKIES_ENABLED = False | ||
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# Disable Telnet Console (enabled by default) | ||
#TELNETCONSOLE_ENABLED = False | ||
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# 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', | ||
#} | ||
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# Enable or disable spider middlewares | ||
# See http://scrapy.readthedocs.org/en/latest/topics/spider-middleware.html | ||
#SPIDER_MIDDLEWARES = { | ||
# 'textdata.middlewares.TextdataSpiderMiddleware': 543, | ||
#} | ||
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# Enable or disable downloader middlewares | ||
# See http://scrapy.readthedocs.org/en/latest/topics/downloader-middleware.html | ||
#DOWNLOADER_MIDDLEWARES = { | ||
# 'textdata.middlewares.MyCustomDownloaderMiddleware': 543, | ||
#} | ||
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# Enable or disable extensions | ||
# See http://scrapy.readthedocs.org/en/latest/topics/extensions.html | ||
#EXTENSIONS = { | ||
# 'scrapy.extensions.telnet.TelnetConsole': None, | ||
#} | ||
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# Configure item pipelines | ||
# See http://scrapy.readthedocs.org/en/latest/topics/item-pipeline.html | ||
#ITEM_PIPELINES = { | ||
# 'textdata.pipelines.TextdataPipeline': 300, | ||
#} | ||
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# 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 | ||
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# 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' |
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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. |
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import scrapy | ||
from scrapy.spiders import CrawlSpider | ||
from w3lib.html import remove_tags, remove_tags_with_content | ||
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class WikipediaSpider(CrawlSpider): | ||
name = 'wikipedia' | ||
start_urls = ['https://en.wikipedia.org/wiki/Outline_of_finance'] | ||
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def parse(self, response): | ||
""" | ||
Parse the response page | ||
""" | ||
url = response.url | ||
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if url in WikipediaSpider.start_urls: | ||
return self._parse_topic_list(response) | ||
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else: | ||
return self._parse_topic_response(response) | ||
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def _parse_topic_response(self, response): | ||
""" | ||
Parse the content | ||
""" | ||
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# Get the title first | ||
title = response.css('title::text').extract_first() | ||
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# Replace / with a space - creates issues with writing to file | ||
title = title.replace('/', ' ') | ||
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content = response.css('div#mw-content-text') | ||
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# Just extract all the '<p></p>' children from this | ||
text = '' | ||
for child in content.xpath('//p'): | ||
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# Get the text from this child <p></p> tag | ||
paragraph = child.extract() | ||
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# 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) | ||
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# Replace '&' with '&' | ||
paragraph = paragraph.replace('&', '&') | ||
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# Replace 'U.S.' with 'US': | ||
paragraph = paragraph.replace('U.S.', 'US') | ||
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# Some more replacements to improve the default tokenization | ||
for c in '();.,[]"\'-:/%$+nnn': | ||
paragraph = paragraph.replace(c, ' {} '.format(c)) | ||
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# Add to the file | ||
text += paragraph + '\n' | ||
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filename = 'wiki_data.txt' | ||
f = open(filename, 'a') | ||
f.write(text) | ||
f.close() | ||
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def _parse_topic_list(self, response): | ||
""" | ||
Parse various topics from the list of topics | ||
""" | ||
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# 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') | ||
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# Iterate through each list | ||
for ul in lists: | ||
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# Iterate through each list item | ||
for l in ul.css('li'): | ||
# Extract the URL | ||
url = l.css('a::attr(href)').extract_first() | ||
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# 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 | ||
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next_page = response.urljoin(url) | ||
yield scrapy.Request(next_page, callback=self.parse) |