Develop Reference

csv.writer not writing entire output to CSV file

I am attempting to scrape the artists' Spotify streaming rankings from Kworb.net into a CSV file and I've nearly succeeded except I'm running into a weird issue.
The code below successfully scrapes all 10,000 of the listed artists into the console:
import requests
from bs4 import BeautifulSoup
import csv
URL = "https://kworb.net/spotify/artists.html"
result = requests.get(URL)
src = result.content
soup = BeautifulSoup(src, 'html.parser')
table = soup.find('table', id="spotifyartistindex")
header_tags = table.find_all('th')
headers = [header.text.strip() for header in header_tags]
rows = []
data_rows = table.find_all('tr')
for row in data_rows:
value = row.find_all('td')
beautified_value = [dp.text.strip() for dp in value]
print(beautified_value)
if len(beautified_value) == 0:
continue
rows.append(beautified_value)
The issue arises when I use the following code to save the output to a CSV file:
with open('artist_rankings.csv', 'w', newline="") as output:
writer = csv.writer(output)
writer.writerow(headers)
writer.writerows(rows)
For whatever reason, only 738 of the artists are saved to the file. Does anyone know what could be causing this?
Thanks so much for any help!

As an alternative approach, you might want to make your life easier next time and use pandas.
Here's how:
import requests
import pandas as pd
source = requests.get("https://kworb.net/spotify/artists.html")
df = pd.concat(pd.read_html(source.text, flavor="bs4"))
df.to_csv("artists.csv", index=False)
This outputs a .csv file with 10,000 artists.

Iteration Url Load from CSV in Python

Please Help me
I have a data url in the CSV file, in that file there are 100 rows and 1 column,
I want to load data line 1 to line 100 from CSV using Python, how do I write the code line?
However, after running the repetition can only work once in one of the lines does not reach the end of the url in the CSV and does not continue to the next URL.
disc_information = html.find('div', class_='alert alert-info global-promo').text.strip().strip('\n')
AttributeError: 'NoneType' object has no attribute 'text'
how do I get through if an error occurs when html is not found?
the following line of code I use python, please help so that the looping scrape runs to the end of the url list
from bs4 import BeautifulSoup
import requests
import pandas as pd
import csv
import pandas
with open('Url Torch.csv','rt') as f:
data = csv.reader(f, delimiter=',')
for row in data:
URL_GO = row[2]
def variable_Scrape(url):
try:
cookies = dict(cookie="............")
request = requests.get(url, cookies=cookies)
html = BeautifulSoup(request.content, 'html.parser')
title = html.find('div', class_='title').text.strip().strip('\n')
desc = html.find('div', class_='content').text
link = html.find_all('img', class_='lazyload slide-item owl-lazy')
normal_price = html.find('div', class_='amount public').text.strip().strip('\n')
disc_information = html.find('div', class_='alert alert-info global-promo').text.strip().strip('\n')
except AttributeError as e:
print(e)
#ConnectionAbortedError
return False
else:
print(title)
#print(desc)
#print(link)
finally:
print(title)
print(desc)
print(link)
print('Finally.....')
variable_Scrape(URL_GO)

Is hard to give you the exact answer without seeing you csv file but try this:
import csv
f = open('you_file.csv')
csv_f = csv.reader(f)
for row in csv_f:
print row[0]

This is the code
import csv
data = [] #create an empty list to store rows on it
with open('emails.csv') as csv_file:
reader = csv.reader(csv_file)
for row in reader:
data.append(row) #add each row to the list
Based on your comments about passing a loop when the url is not ok:
for url in data: # data is the list where url stored
try:
# do your code here (requests, beautifulsoup) :
# r = requests.get(url) ...
except:
pass
# will go to the next loop (next url) if an error happens

How do I creat CSV file with webscraped content from several URLs?

I want to create a CSV file from webscraped content. The content is from FinViz.com
I want to scrape the table from this website 20 times for 20 different stocks and input all the content into a CSV file. Within my code, I generate a list of stocks from a scrape of twitter content. The list of stocks that is generated is the same list that I want to get information on from the FinViz.com tables.
Here is my code:
import csv
import urllib.request
from bs4 import BeautifulSoup
twiturl = "https://twitter.com/ACInvestorBlog"
twitpage = urllib.request.urlopen(twiturl)
soup = BeautifulSoup(twitpage,"html.parser")
print(soup.title.text)
tweets = [i.text for i in soup.select('a.twitter-cashtag.pretty-link.js-nav b')]
print(tweets)
url_base = "https://finviz.com/quote.ashx?t="
url_list = [url_base + tckr for tckr in tweets]
for url in url_list:
fpage = urllib.request.urlopen(url)
fsoup = BeautifulSoup(fpage, 'html.parser')
# scrape single page and add data to list
# write datalist
with open('today.csv', 'a') as file:
writer = csv.writer(file)
# write header row
writer.writerow(map(lambda e : e.text, fsoup.find_all('td', {'class':'snapshot-td2-cp'})))
# write body row
writer.writerow(map(lambda e : e.text, fsoup.find_all('td', {'class':'snapshot-td2'})))
The trouble that I am running into is that my CSV file only has the webscraped data from the last item in the list. Instead I want the entire list in a sequence of rows.
Here is what my CSV file looks like:
Index,P/E,EPS (ttm),Insider Own,Shs Outstand,Perf Week,Market Cap,Forward P/E,EPS next Y,Insider Trans,Shs Float,Perf Month,Income,PEG,EPS next Q,Inst Own,Short Float,Perf Quarter,Sales,P/S,EPS this Y,Inst Trans,Short Ratio,Perf Half Y,Book/sh,P/B,EPS next Y,ROA,Target Price,Perf Year,Cash/sh,P/C,EPS next 5Y,ROE,52W Range,Perf YTD,Dividend,P/FCF,EPS past 5Y,ROI,52W High,Beta,Dividend %,Quick Ratio,Sales past 5Y,Gross Margin,52W Low,ATR,Employees,Current Ratio,Sales Q/Q,Oper. Margin,RSI (14),Volatility,Optionable,Debt/Eq,EPS Q/Q,Profit Margin,Rel Volume,Prev Close,Shortable,LT Debt/Eq,Earnings,Payout,Avg Volume,Price,Recom,SMA20,SMA50,SMA200,Volume,Change
-,-,-1.75,7.94%,79.06M,-22.52%,296.48M,-,-1.74,-4.61%,72.41M,-23.16%,-85.70M,-,-0.36,62.00%,3.21%,1.63%,15.10M,19.63,-197.00%,18.05%,2.57,66.67%,-0.65,-,-8.10%,-127.70%,12.17,-6.25%,0.93,4.03,-,146.70%,2.05 - 5.86,3.59%,-,-,-,385.80%,-36.01%,-,-,1.30,-,76.50%,82.93%,0.41,100,1.30,-59.60%,-,36.98,16.13% 9.32%,Yes,-,90.00%,-,0.82,3.63,Yes,-,Nov 08,-,902.43K,3.75,2.30,-22.08%,-10.43%,11.96%,"742,414",3.31%

It would be better to open your output file first, rather than keep on opening/closing it for each URL that you fetch. Exception handling is needed to catch cases where the URL does not exist.
Also on your output, you should open the file with newline='' to avoid extra empty lines being written to the file:
import csv
import urllib.request
from bs4 import BeautifulSoup
write_header = True
twiturl = "https://twitter.com/ACInvestorBlog"
twitpage = urllib.request.urlopen(twiturl)
soup = BeautifulSoup(twitpage,"html.parser")
print(soup.title.text)
tweets = [i.text for i in soup.select('a.twitter-cashtag.pretty-link.js-nav b')]
print(tweets)
url_base = "https://finviz.com/quote.ashx?t="
url_list = [url_base + tckr for tckr in tweets]
with open('today.csv', 'w', newline='') as file:
writer = csv.writer(file)
for url in url_list:
try:
fpage = urllib.request.urlopen(url)
fsoup = BeautifulSoup(fpage, 'html.parser')
# write header row (once)
if write_header:
writer.writerow(map(lambda e : e.text, fsoup.find_all('td', {'class':'snapshot-td2-cp'})))
write_header = False
# write body row
writer.writerow(map(lambda e : e.text, fsoup.find_all('td', {'class':'snapshot-td2'})))
except urllib.error.HTTPError:
print("{} - not found".format(url))
So today.csv would start like:
Index,P/E,EPS (ttm),Insider Own,Shs Outstand,Perf Week,Market Cap,Forward P/E,EPS next Y,Insider Trans,Shs Float,Perf Month,Income,PEG,EPS next Q,Inst Own,Short Float,Perf Quarter,Sales,P/S,EPS this Y,Inst Trans,Short Ratio,Perf Half Y,Book/sh,P/B,EPS next Y,ROA,Target Price,Perf Year,Cash/sh,P/C,EPS next 5Y,ROE,52W Range,Perf YTD,Dividend,P/FCF,EPS past 5Y,ROI,52W High,Beta,Dividend %,Quick Ratio,Sales past 5Y,Gross Margin,52W Low,ATR,Employees,Current Ratio,Sales Q/Q,Oper. Margin,RSI (14),Volatility,Optionable,Debt/Eq,EPS Q/Q,Profit Margin,Rel Volume,Prev Close,Shortable,LT Debt/Eq,Earnings,Payout,Avg Volume,Price,Recom,SMA20,SMA50,SMA200,Volume,Change
-,-,-10.85,4.60%,2.36M,11.00%,8.09M,-,-,-62.38%,1.95M,-16.14%,-14.90M,-,-,2.30%,10.00%,-44.42%,0.00M,-,21.80%,-5.24%,3.10,-38.16%,1.46,2.35,-,-155.10%,65.00,-50.47%,-,-,-,-238.40%,2.91 - 11.20,-38.29%,-,-,54.50%,-,-69.37%,1.63,-,2.20,-,-,17.87%,0.36,15,2.20,-,-,39.83,11.38% 10.28%,No,0.00,68.70%,-,1.48,3.30,Yes,0.00,Feb 28 AMC,-,62.76K,3.43,1.00,-5.21%,-25.44%,-37.33%,"93,166",3.94%
-,-,-0.26,1.50%,268.98M,3.72%,2.25B,38.05,0.22,-0.64%,263.68M,-9.12%,-55.50M,-,0.05,-,9.96%,-12.26%,1.06B,2.12,-328.10%,25.95%,2.32,17.72%,12.61,0.66,650.00%,-0.90%,12.64,-38.73%,0.03,264.87,-,-1.90%,6.69 - 15.27,-0.48%,-,-,-28.70%,0.00%,-45.17%,2.20,-,0.70,16.40%,67.80%,25.11%,0.41,477,0.80,71.90%,5.30%,52.71,4.83% 5.00%,Yes,0.80,7.80%,-5.20%,0.96,7.78,Yes,0.80,Feb 27 AMC,-,11.31M,8.37,2.20,0.99%,-1.63%,-4.72%,"10,843,026",7.58%
If you only want your file to contain data from one run of the script, you do not need a to append, just use w instead.

How do I write web-scraped text into csv using python?

I've been working on a practice web-scraper that gets written reviews and writes them to a csv file, with each review given its own row. I've been having trouble with it as:
I can't seem to strip out the html and get only the text (i.e. the written review and nothing else)
There are a lot of weird spaces between and within even my review text (i.e. a row of space between lines etc.)
Thanks for your help!
Code below:
#! python3
import bs4, os, requests, csv
# Get URL of the page
URL = ('https://www.tripadvisor.com/Attraction_Review-g294265-d2149128-Reviews-Gardens_by_the_Bay-Singapore.html')
# Looping until the 5th page of reviews
pagecounter = 0
while pagecounter != 5:
# Request get the first page
res = requests.get(URL)
res.raise_for_status
# Download the html of the first page
soup = bs4.BeautifulSoup(res.text, "html.parser")
reviewElems = soup.select('.partial_entry')
if reviewElems == []:
print('Could not find clue.')
else:
#for i in range(len(reviewElems)):
#print(reviewElems[i].getText())
with open('GardensbytheBay.csv', 'a', newline='') as csvfile:
for row in reviewElems:
writer = csv.writer(csvfile, delimiter=' ', quoting=csv.QUOTE_ALL)
writer.writerow(row)
print('Writing page')
# Find URL of next page and update URL
if pagecounter == 0:
nextLink = soup.select('a[data-offset]')[0]
elif pagecounter != 0:
nextLink = soup.select('a[data-offset]')[1]
URL = 'http://www.tripadvisor.com' + nextLink.get('href')
pagecounter += 1
print('Download complete')
csvfile.close()

You can use row.get_text(strip=True) to get the text from your selected p.partial_entry. Try the following:
import bs4, os, requests, csv
# Get URL of the page
URL = ('https://www.tripadvisor.com/Attraction_Review-g294265-d2149128-Reviews-Gardens_by_the_Bay-Singapore.html')
with open('GardensbytheBay.csv', 'w', newline='') as csvfile:
writer = csv.writer(csvfile, delimiter=' ')
# Looping until the 5th page of reviews
for pagecounter in range(6):
# Request get the first page
res = requests.get(URL)
res.raise_for_status
# Download the html of the first page
soup = bs4.BeautifulSoup(res.text, "html.parser")
reviewElems = soup.select('p.partial_entry')
if reviewElems:
for row in reviewElems:
review_text = row.get_text(strip=True).encode('utf8', 'ignore').decode('latin-1')
writer.writerow([review_text])
print('Writing page', pagecounter + 1)
else:
print('Could not find clue.')
# Find URL of next page and update URL
if pagecounter == 0:
nextLink = soup.select('a[data-offset]')[0]
elif pagecounter != 0:
nextLink = soup.select('a[data-offset]')[1]
URL = 'http://www.tripadvisor.com' + nextLink.get('href')
print('Download complete')

Loop in python script with xpath. Why do I only get results form last url?

Why do I only get the results form the last url?
The idea is that I get a list of results of both urls.
Also, with the printing in csv I get eacht time an empty row. How do I remove this row?
import csv
import requests
from lxml import html
import urllib
TV_category = ["_108-tot-127-cm-43-tot-50-,98952,501090","_128-tot-150-cm-51-tot-59-,98952,501091"]
url_pattern = 'http://www.mediamarkt.be/mcs/productlist/{}.html?langId=-17'
for item in TV_category:
url = url_pattern.format(item)
page = requests.get(url)
tree = html.fromstring(page.content)
outfile = open("./tv_test1.csv", "wb")
writer = csv.writer(outfile)
rows = tree.xpath('//*[#id="category"]/ul[2]/li')
for row in rows:
price = row.xpath('normalize-space(div/aside[2]/div[1]/div[1]/div/text())')
product_ref = row.xpath('normalize-space(div/div/h2/a/text())')
writer.writerow([product_ref,price])

As I explained in the question's comments, you need to put the second for loop inside (at the end) the first one. Otherwise, only the last rows results will be saved/written to the CSV-format file.
You don't need to open the file in each loop (a with statement will close it automagically). It is, as well, important to highlight that if you open a file with write flags it will overwrite, and if it's inside a loop it will overwrite each time it's opened.
I'd refactor your code as follows:
import csv
import requests
from lxml import html
import urllib
TV_category = ["_108-tot-127-cm-43-tot-50-,98952,501090","_128-tot-150-cm-51-tot-59-,98952,501091"]
url_pattern = 'http://www.mediamarkt.be/mcs/productlist/{}.html?langId=-17'
with open("./tv_test1.csv", "wb") as outfile:
writer = csv.writer(outfile)
for item in TV_category:
url = url_pattern.format(item)
page = requests.get(url)
tree = html.fromstring(page.content)
rows = tree.xpath('//*[#id="category"]/ul[2]/li')
for row in rows:
price = row.xpath('normalize-space(div/aside[2]/div[1]/div[1]/div/text())')
product_ref = row.xpath('normalize-space(div/div/h2/a/text())')
writer.writerow([product_ref,price])