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
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)
You need to
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
.
This is what worked for me using Python3:
scrapy runspider spidername.py -o file.csv -t csv
simply crawl with -o csv
, like:
scrapy crawl <spider name> -o file.csv -t csv
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.