I am working on a web scraper for the first time, and I am using Beautiful Soup to parse a JSON file and return several attributes that I send to a CSV.
The status variable, in the JSON array, is a binary value (0/1). I'd like to return only arrays that have a 0 for status. Is it feasible to do that?
"""soup = BeautifulSoup(html)
table = soup.find()
print soup.prettify()"""
js_data = json.loads(html)
Attraction = []
event = []
status = []
for doc in js_data["response"]["docs"]:
Attraction.append(doc["Attraction"])
event.append(doc["PostProcessedData"]["Onsales"]["event"]["date"])
status.append(doc["PostProcessedData"]["Onsales"]["status"])
with open("out.csv","w") as f:
datas = zip(Attraction,event,status)
keys = ["Attraction","event","status"]
f.write(";".join(keys))
for data in datas:
f.write(",".join([str(k).replace(",",";").replace("<br>"," ") for k in data]))
f.write("\n")
I might be missing something, but maybe this helps:
for doc in js_data["response"]["docs"]:
if doc["PostProcessedData"]["Onsales"]["status"] == "0":
Attraction.append(doc["Attraction"])
event.append(doc["PostProcessedData"]["Onsales"]["event"]["date"])
status.append(doc["PostProcessedData"]["Onsales"]["status"])
Related
I've made a web scraper that scrapes data from pages that look like this (it scrapes the tables): https://www.techpowerup.com/gpudb/2/
The problem is that my program, for some reason, is only scraping the values, and not the subheaders. For instance, (click on the link), it only scrapes the "R420", "130nm", "160 million", etc. but not the "GPU Name", "Process Size", "Transistors" etc.
What do I add to the code to get it to scrape the subheaders? Here's my code:
import csv
import requests
import bs4
url = "https://www.techpowerup.com/gpudb/2"
#obtain HTML and parse through it
response = requests.get(url)
html = response.content
import sys
reload(sys)
sys.setdefaultencoding('utf-8')
soup = bs4.BeautifulSoup(html, "lxml")
tables = soup.findAll("table")
#reading every value in every row in each table and making a matrix
tableMatrix = []
for table in tables:
list_of_rows = []
for row in table.findAll('tr'):
list_of_cells = []
for cell in row.findAll('td'):
text = cell.text.replace(' ', '')
list_of_cells.append(text)
list_of_rows.append(list_of_cells)
tableMatrix.append((list_of_rows, list_of_cells))
#(YOU CAN PROBABLY IGNORE THIS)placeHolder used to avoid duplicate data from appearing in list
placeHolder = 0
excelTable = []
for table in tableMatrix:
for row in table:
if placeHolder == 0:
for entry in row:
excelTable.append(entry)
placeHolder = 1
else:
placeHolder = 0
excelTable.append('\n')
for value in excelTable:
print value
print '\n'
#create excel file and write the values into a csv
fl = open(str(count) + '.csv', 'w')
writer = csv.writer(fl)
for values in excelTable:
writer.writerow(values)
fl.close()
if you check the page source, those cells are header cells. So they are not using TD tags but TH tags. you may want to update your loop to include TH cells alongside TD cells.
I want to load automatically a code from website.
I have a list with some names and want to go through every item. Go through the first item, make request, open website, copy the code/number from HTML (text in span) and than save this result in dictionary and so on (for all items).
I read from csv all lines and save them into a list.
After this I make request to load HTML from a website, search the company and read the numbers from span.
My code:
with open(test_f, 'r') as file:
rows = csv.reader(file,
delimiter=',',
quotechar='"')
data = [data for data in rows]
print(data)
url_part1 = "http://www.monetas.ch/htm/651/de/Firmen-Suchresultate.htm?Firmensuche="
url_enter_company = [data for data in rows]
url_last_part = "&CompanySearchSubmit=1"
firma_noga = []
for data in firma_noga:
search_noga = url_part1 + url_enter_company + url_last_part
r = requests.get(search_noga)
soup = BeautifulSoup(r.content, 'html.parser')
lii = soup.find_all("span")
# print all numbers that are in a span
numbers = [d.text for d in lii]
print("NOGA Codes: ")
I want to get in dictionary the result, where the key should be the company name (item in a list) and the value should be the number that I read from the span:
dict = {"firma1": "620100", "firma2": "262000, 465101"}
Can some one help me, I am new at web scraping and python, and don't know what I am doing wrong.
Split your string with regex and do your stuff depending on wether it is a number or not:
import re
for partial in re.split('([0-9]+)', myString):
try:
print(int(partial))
except:
print(partial + ' is not a number')
EDIT:
Well, myString is somewhat expected to be a string.
To get the text content of your spans as a string you should be able to use .text something like this:
spans = soup.find_all('span')
for span in spans:
myString = span.text #
for partial in re.split('([0-9]+)', myString):
try:
print(int(partial))
except:
print(partial + ' is not a number')
Abstracting from my requirements in comments I think somethinfg like this should work for you:
firma_noga = ['firma1', 'firma2', 'firma3'] #NOT EMPTY as in your code!
res_dict = {}
for data in firma_noga:
search_noga = url_part1 + url_enter_company + url_last_part
r = requests.get(search_noga)
soup = BeautifulSoup(r.content, 'html.parser')
lii = soup.find_all("span")
for l in lii:
if data not in res_dict:
res_dict[data] = [l]
else:
res_dict[data].append(l)
Obviously this will work obviously if firma-noga won't be empty like in your code; and all the rest (your) parsing logic should be valid as well.
I am trying to extract tables from an HTML document using the xpath module in Python. If I print the downloaded HTML, I see the full DOM as it should be. However, when I use xpath.get, it give me a tbody section, but not the one I want and certainly not the only one that should be there. Here is the script.
import requests
from webscraping import download, xpath
D = download.Download()
url = 'http://labs.mementoweb.org/timemap/json/http://www.awebsiteimscraping.com'
r = requests.get(url)
data = []
mementos = r.json()['mementos']['list']
for memento in mementos:
data.append(D.get(memento['uri']))
# print xpath.get(data[10], '//table')
print type(data[0])
# print data[10]
print len(data)
I'm new to this, so idk if it matters, but the type of each element in 'data' is str.
Convert type of data to dict using json.loads()
Try this,
import requests
import json
from webscraping import download, xpath
D = download.Download()
url = 'http://labs.mementoweb.org/timemap/json/http://www.awebsiteimscraping.com'
r = requests.get(url)
data = []
mementos = r.json()['mementos']['list']
for memento in mementos:
data.append(D.get(memento['uri']))
# print xpath.get(data[10], '//table')
print type(data[0])
# print data[10]
print len(data)
json_data = json.loads(data)
print type(json_data[0])
This script is generating a csv with the data from only one of the urls fed into it. There are meant to be 98 sets of results, however the for loop isn't getting past the first url.
I've been working on this for 12hrs+ today, what am I missing in order get the correct results?
import requests
import re
from bs4 import BeautifulSoup
import csv
#Read csv
csvfile = open("gyms4.csv")
csvfilelist = csvfile.read()
def get_page_data(urls):
for url in urls:
r = requests.get(url.strip())
soup = BeautifulSoup(r.text, 'html.parser')
yield soup # N.B. use yield instead of return
print r.text
with open("gyms4.csv") as url_file:
for page in get_page_data(url_file):
name = page.find("span",{"class":"wlt_shortcode_TITLE"}).text
address = page.find("span",{"class":"wlt_shortcode_map_location"}).text
phoneNum = page.find("span",{"class":"wlt_shortcode_phoneNum"}).text
email = page.find("span",{"class":"wlt_shortcode_EMAIL"}).text
th = pages.find('b',text="Category")
td = th.findNext()
for link in td.findAll('a',href=True):
match = re.search(r'http://(\w+).(\w+).(\w+)', link.text)
if match:
web_address = link.text
gyms = [name,address,phoneNum,email,web_address]
gyms.append(gyms)
#Saving specific listing data to csv
with open ("xgyms.csv", "w") as file:
writer = csv.writer(file)
for row in gyms:
writer.writerow([row])
You have 3 for-loops in your code and do not specifiy which one causes problem. I assume it is the one in get_page_date() function.
You leave the looop exactly in the first run with the return assignemt. That is why you never get to the second url.
There are at least two possible solutions:
Append every parsed line of url to a list and return that list.
Move you processing code in the loops and append the parsed data to gyms in the loop.
As Alex.S said, get_page_data() returns on the first iteration, hence subsequent URLs are never accessed. Furthermore, the code that extracts data from the page needs to be executed for each page downloaded, so it needs to be in a loop too. You could turn get_page_data() into a generator and then iterate over the pages like this:
def get_page_data(urls):
for url in urls:
r = requests.get(url.strip())
soup = BeautifulSoup(r.text, 'html.parser')
yield soup # N.B. use yield instead of return
with open("gyms4.csv") as url_file:
for page in get_page_data(url_file):
name = page.find("span",{"class":"wlt_shortcode_TITLE"}).text
address = page.find("span",{"class":"wlt_shortcode_map_location"}).text
phoneNum = page.find("span",{"class":"wlt_shortcode_phoneNum"}).text
email = page.find("span",{"class":"wlt_shortcode_EMAIL"}).text
# etc. etc.
You can write the data to the CSV file as each page is downloaded and processed, or you can accumulate the data into a list and write it in one for with csv.writer.writerows().
Also you should pass the URL list to get_page_data() rather than accessing it from a global variable.
This may end up being a really novice question, because i'm a novice, but here goes.
i have a set of .html pages obtained using wget. i want to iterate through them and extract certain info, putting it in a .csv file.
using the code below, all the names print when my program runs, but only the info from the next to last page (i.e., page 29.html here) prints to the .csv file. i'm trying this with only a handful of files at first, there are about 1,200 that i'd like to get into this format.
the files are based on those here: https://www.cfis.state.nm.us/media/ReportLobbyist.aspx?id=25&el=2014 where page numbers are the id
thanks for any help!
from bs4 import BeautifulSoup
import urllib2
import csv
for i in xrange(22, 30):
try:
page = urllib2.urlopen('file:{}.html'.format(i))
except:
continue
else:
soup = BeautifulSoup(page.read())
n = soup.find(id='ctl00_ContentPlaceHolder1_lnkBCLobbyist')
name = n.string
print name
table = soup.find('table', 'reportTbl')
#get the rows
list_of_rows = []
for row in table.findAll('tr')[1:]:
col = row.findAll('td')
filing = col[0].string
status = col[1].string
cont = col[2].string
exp = col[3].string
record = (name, filing, status, cont, exp)
list_of_rows.append(record)
#write to file
writer = csv.writer(open('lob.csv', 'wb'))
writer.writerows(list_of_rows)
You need to append each time not overwrite, use a, open('lob.csv', 'wb') is overwriting each time through your outer loop:
writer = csv.writer(open('lob.csv', 'ab'))
writer.writerows(list_of_rows)
You could also declare list_of_rows = [] outside the for loops and write to the file once at the very end.
If you are wanting page 30 also you need to loop in range(22,31).