CODEWITHSUNDEEP
pythoncsvscrapy
blackmamba
blackmamba

Reputation: 2002

Write to a csv file scrapy

I want to write to csv file in scrapy

 for rss in rsslinks:
  item = AppleItem()
  item['reference_link'] = response.url
  base_url = get_base_url(response)
  item['rss_link'] = urljoin_rfc(base_url,rss)
  #item['rss_link'] = rss
  items.append(item)
  #items.append("\n")
 f = open(filename,'a+')    #filename is apple.com.csv
 for item in items:
    f.write("%s\n" % item)

My output is this:

{'reference_link': 'http://www.apple.com/'
 'rss_link': 'http://www.apple.com/rss '
{'reference_link': 'http://www.apple.com/rss/'
 'rss_link':   'http://ax.itunes.apple.com/WebObjects/MZStore.woa/wpa/MRSS/newreleases/limit=10/rss.xml'}
{'reference_link': 'http://www.apple.com/rss/'
 'rss_link':  'http://ax.itunes.apple.com/WebObjects/MZStore.woa/wpa/MRSS/newreleases/limit=25/rss.xml'}

What I want is this format: 

reference_link               rss_link  
http://www.apple.com/     http://www.apple.com/rss/

Upvotes: 20

Views: 50239

Answers (6)

Vinayak
Vinayak

Reputation: 315

custom_settings = {
        'FEED_URI' : 'Quotes.csv'
    }

Upvotes: 1

jwalman
jwalman

Reputation: 265

This is what worked for me using Python3:

scrapy runspider spidername.py -o file.csv -t csv

Upvotes: 21

Anurag Misra
Anurag Misra

Reputation: 1554

Best approach to solve this problem is to use python in-build csv package.

import csv

file_name = open('Output_file.csv', 'w') #Output_file.csv is name of output file

fieldnames = ['reference_link', 'rss_link'] #adding header to file
writer = csv.DictWriter(file_name, fieldnames=fieldnames)
writer.writeheader()
for rss in rsslinks:
    base_url = get_base_url(response)
    writer.writerow({'reference_link': response.url, 'rss_link': urljoin_rfc(base_url, rss)}) #writing data into file.

Upvotes: 2

uhbif19
uhbif19

Reputation: 3244

Try tablib.

dataset = tablib.Dataset()
dataset.headers = ["reference_link", "rss_link"]

def add_item(item):    
   dataset.append([item.get(field) for fields in dataset.headers])

for item in items:
    add_item(item)

f.write(dataset.csv)

Upvotes: 0

jonrsharpe
jonrsharpe

Reputation: 122154

You need to

  1. Write your header row; then
  2. Write the entry rows for each object.

You could approach it like:

fields = ["reference_link", "rss_link"] # define fields to use
with open(filename,'a+') as f: # handle the source file
    f.write("{}\n".format('\t'.join(str(field) 
                              for field in fields))) # write header 
    for item in items:
        f.write("{}\n".format('\t'.join(str(item[field]) 
                              for field in fields))) # write items

Note that "{}\n".format(s) gives the same result as "%s\n" % s.

Upvotes: 1

Guy Gavriely
Guy Gavriely

Reputation: 11396

simply crawl with -o csv, like:

scrapy crawl <spider name> -o file.csv -t csv

Upvotes: 106

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