Scrapy - Extract items from table

Question

Trying to get my head around Scrapy but hitting a few dead ends.

I have a 2 Tables on a page and would like to extract the data from each one then move along to the next page.

Tables look like this (First one is called Y1, 2nd is Y2) and structures are the same.

<div id="Y1" style="margin-bottom: 0px; margin-top: 15px;">
                                <h2>First information</h2><hr style="margin-top: 5px; margin-bottom: 10px;">                    

                <table class="table table-striped table-hover table-curved">
                    <thead>
                        <tr>
                            <th class="tCol1" style="padding: 10px;">First Col Head</th>
                            <th class="tCol2" style="padding: 10px;">Second Col Head</th>
                            <th class="tCol3" style="padding: 10px;">Third Col Head</th>
                        </tr>
                    </thead>
                    <tbody>

                        <tr>
                            <td>Info 1</td>
                            <td>Monday 5 September, 2016</td>
                            <td>Friday 21 October, 2016</td>
                        </tr>
                        <tr class="vevent">
                            <td class="summary"><b>Info 2</b></td>
                            <td class="dtstart" timestamp="1477094400"><b></b></td>
                            <td class="dtend" timestamp="1477785600">
                            <b>Sunday 30 October, 2016</b></td>
                        </tr>
                        <tr>
                            <td>Info 3</td>
                            <td>Monday 31 October, 2016</td>
                            <td>Tuesday 20 December, 2016</td>
                        </tr>


                    <tr class="vevent">
                        <td class="summary"><b>Info 4</b></td>                      
                        <td class="dtstart" timestamp="1482278400"><b>Wednesday 21 December, 2016</b></td>
                        <td class="dtend" timestamp="1483315200">
                        <b>Monday 2 January, 2017</b></td>
                    </tr>



                </tbody>
            </table>

As you can see, the structure is a little inconsistent but as long as I can get each td and output to csv then I'll be a happy guy.

I tried using xPath but this only confused me more.

My last attempt:

import scrapy

class myScraperSpider(scrapy.Spider):
name = "myScraper"

allowed_domains = ["mysite.co.uk"]
start_urls =    (
                'https://mysite.co.uk/page1/',
                )

def parse_products(self, response):
    products = response.xpath('//*[@id="Y1"]/table')
    # ignore the table header row
    for product in products[1:]  
       item = Schooldates1Item()
       item['hol'] = product.xpath('//*[@id="Y1"]/table/tbody/tr[1]/td[1]').extract()[0]
       item['first'] = product.xpath('//*[@id="Y1"]/table/tbody/tr[1]/td[2]').extract()[0]
       item['last'] = product.xpath('//*[@id="Y1"]/table/tbody/tr[1]/td[3]').extract()[0]
       yield item

No errors here but it just fires back lots of information about the crawl but no actual results.

Update:

  import scrapy

       class SchoolSpider(scrapy.Spider):
name = "school"

allowed_domains = ["termdates.co.uk"]
start_urls =    (
                'https://termdates.co.uk/school-holidays-16-19-abingdon/',
                )

  def parse_products(self, response):
  products = sel.xpath('//*[@id="Year1"]/table//tr')
 for p in products[1:]:
  item = dict()
  item['hol'] = p.xpath('td[1]/text()').extract_first()
  item['first'] = p.xpath('td[1]/text()').extract_first()
  item['last'] = p.xpath('td[1]/text()').extract_first()
  yield item

This give me: IndentationError: unexpected indent

if I run the amended script below (thanks to @Granitosaurus) to output to CSV (-o schoolDates.csv) I get an empty file:

import scrapy

class SchoolSpider(scrapy.Spider):
name = "school"
allowed_domains = ["termdates.co.uk"]
start_urls = ('https://termdates.co.uk/school-holidays-16-19-abingdon/',)

def parse_products(self, response):
    products = sel.xpath('//*[@id="Year1"]/table//tr')
    for p in products[1:]:
        item = dict()
        item['hol'] = p.xpath('td[1]/text()').extract_first()
        item['first'] = p.xpath('td[1]/text()').extract_first()
        item['last'] = p.xpath('td[1]/text()').extract_first()
        yield item

This is the log:

• 2017-03-23 12:04:08 [scrapy.core.engine] INFO: Spider opened 2017-03-23 12:04:08 [scrapy.extensions.logstats] INFO: Crawled 0 pages (at 0 pages/min), scraped 0 items (at 0 items/min) 2017-03-23 12:04:08 [scrapy.extensions.telnet] DEBUG: Telnet console listening on ... 2017-03-23 12:04:08 [scrapy.core.engine] DEBUG: Crawled (200) https://termdates.co.uk/robots.txt> (referer: None) 2017-03-23 12:04:08 [scrapy.core.engine] DEBUG: Crawled (200) https://termdates.co.uk/school-holidays-16-19-abingdon/> (referer: None) 2017-03-23 12:04:08 [scrapy.core.scraper] ERROR: Spider error processing https://termdates.co.uk/school-holidays-16-19-abingdon/> (referer: None) Traceback (most recent call last): File "c:\python27\lib\site-packages\twisted\internet\defer.py", line 653, in _ runCallbacks current.result = callback(current.result, *args, **kw) File "c:\python27\lib\site-packages\scrapy-1.3.3-py2.7.egg\scrapy\spiders__init__.py", line 76, in parse raise NotImplementedError NotImplementedError 2017-03-23 12:04:08 [scrapy.core.engine] INFO: Closing spider (finished) 2017-03-23 12:04:08 [scrapy.statscollectors] INFO: Dumping Scrapy stats: {'downloader/request_bytes': 467, 'downloader/request_count': 2, 'downloader/request_method_count/GET': 2, 'downloader/response_bytes': 11311, 'downloader/response_count': 2, 'downloader/response_status_count/200': 2, 'finish_reason': 'finished', 'finish_time': datetime.datetime(2017, 3, 23, 12, 4, 8, 845000), 'log_count/DEBUG': 3, 'log_count/ERROR': 1, 'log_count/INFO': 7, 'response_received_count': 2, 'scheduler/dequeued': 1, 'scheduler/dequeued/memory': 1, 'scheduler/enqueued': 1, 'scheduler/enqueued/memory': 1, 'spider_exceptions/NotImplementedError': 1, 'start_time': datetime.datetime(2017, 3, 23, 12, 4, 8, 356000)} 2017-03-23 12:04:08 [scrapy.core.engine] INFO: Spider closed (finished)

Update 2: (Skips row) This pushes result to csv file but skips every other row.

The Shell shows {'hol': None, 'last': u'\r\n\t\t\t\t\t\t\t\t', 'first': None}

import scrapy

class SchoolSpider(scrapy.Spider):
name = "school"
allowed_domains = ["termdates.co.uk"]
start_urls = ('https://termdates.co.uk/school-holidays-16-19-abingdon/',)

def parse(self, response):
    products = response.xpath('//*[@id="Year1"]/table//tr')
    for p in products[1:]:
        item = dict()
        item['hol'] = p.xpath('td[1]/text()').extract_first()
        item['first'] = p.xpath('td[2]/text()').extract_first()
        item['last'] = p.xpath('td[3]/text()').extract_first()
        yield item

Solution: Thanks to @vold This crawls all pages in start_urls and deals with the inconsistent table layout

# -*- coding: utf-8 -*-
import scrapy
from SchoolDates_1.items import Schooldates1Item

class SchoolSpider(scrapy.Spider):
name = "school"
allowed_domains = ["termdates.co.uk"]
start_urls = ('https://termdates.co.uk/school-holidays-16-19-abingdon/',
              'https://termdates.co.uk/school-holidays-3-dimensions',)

def parse(self, response):
    products = response.xpath('//*[@id="Year1"]/table//tr')
    # ignore the table header row
    for product in products[1:]:
        item = Schooldates1Item()
        item['hol'] = product.xpath('td[1]//text()').extract_first()
        item['first'] = product.xpath('td[2]//text()').extract_first()
        item['last'] = ''.join(product.xpath('td[3]//text()').extract()).strip()
        item['url'] = response.url
        yield item

Answer 1

You can use CSS Selectors instead of xPaths, I always find CSS Selectors easy.

def parse_products(self, response):

    for table in response.css("#Y1 table")[1:]:
       item = Schooldates1Item()
       item['hol'] = product.css('td:nth-child(1)::text').extract_first()
       item['first'] = product.css('td:nth-child(2)::text').extract_first()
       item['last'] = product.css('td:nth-child(3)::text').extract_first()
       yield item

Also do not use tbody tag in selectors. Source:

Firefox, in particular, is known for adding elements to tables. Scrapy, on the other hand, does not modify the original page HTML, so you won’t be able to extract any data if you use in your XPath expressions.

Answer 2

You need to slightly correct your code. Since you already select all elements within the table you don't need to point again to a table. Thus you can shorten your xpath to something like thistd[1]//text().

def parse_products(self, response):
    products = response.xpath('//*[@id="Year1"]/table//tr')
    # ignore the table header row
    for product in products[1:]  
       item = Schooldates1Item()
       item['hol'] = product.xpath('td[1]//text()').extract_first()
       item['first'] = product.xpath('td[2]//text()').extract_first()
       item['last'] = product.xpath('td[3]//text()').extract_first()
       yield item

Edited my answer since @stutray provide the link to a site.