Cleaner way of simplifying a webcrawler?
$begingroup$
I've been experimenting more with webcrawling and hence have started to get a better understanding compared to my previous questions. Right now, my code scraps from a car forum on each page; and iterates through every pages. What would you recommend to improve on?
import requests
from bs4 import BeautifulSoup, SoupStrainer
import pandas as pd
list_topic =
list_time =
SESSION = requests.Session()
def get_response(url): # Gets the <html> structure from the website #
response = SESSION.get(url)
soup = BeautifulSoup(response.text, 'lxml',
parse_only=SoupStrainer('ul', {'class': 'posts posts-archive'}))
return soup
def iteration(url, max_page=52):
starting_page = 1
while starting_page <= max_page:
## formats the new URL etc (https://paultan.org/topics/test-drive-reviews/page/1) ##
new_url = url + f"page/{starting_page}"
data = get_response(new_url)
get_reviews(data)
## iteration starts ##
starting_page += 1
def get_reviews(response):
for container in response('article'):
title = container.h2.a.text
time = container.time.text
list_topic.append(title)
list_time.append(time)
else:
None
def create_pdReview():
return pd.DataFrame({'Title': list_topic, 'Time': list_time})
if __name__ == '__main__':
URL = 'https://paultan.org/topics/test-drive-reviews/'
print(iteration(URL))
print(create_pdReview())
I've been wondering; would using yield
improve the efficiency and simplicity of the code? How would it be done? Because I've been trying to learn from my previous inquiries that has been answered on earlier.
Similar Question and I'm trying to put to practice what has been recommended so far.
python python-3.x beautifulsoup
New contributor
$endgroup$
add a comment |
$begingroup$
I've been experimenting more with webcrawling and hence have started to get a better understanding compared to my previous questions. Right now, my code scraps from a car forum on each page; and iterates through every pages. What would you recommend to improve on?
import requests
from bs4 import BeautifulSoup, SoupStrainer
import pandas as pd
list_topic =
list_time =
SESSION = requests.Session()
def get_response(url): # Gets the <html> structure from the website #
response = SESSION.get(url)
soup = BeautifulSoup(response.text, 'lxml',
parse_only=SoupStrainer('ul', {'class': 'posts posts-archive'}))
return soup
def iteration(url, max_page=52):
starting_page = 1
while starting_page <= max_page:
## formats the new URL etc (https://paultan.org/topics/test-drive-reviews/page/1) ##
new_url = url + f"page/{starting_page}"
data = get_response(new_url)
get_reviews(data)
## iteration starts ##
starting_page += 1
def get_reviews(response):
for container in response('article'):
title = container.h2.a.text
time = container.time.text
list_topic.append(title)
list_time.append(time)
else:
None
def create_pdReview():
return pd.DataFrame({'Title': list_topic, 'Time': list_time})
if __name__ == '__main__':
URL = 'https://paultan.org/topics/test-drive-reviews/'
print(iteration(URL))
print(create_pdReview())
I've been wondering; would using yield
improve the efficiency and simplicity of the code? How would it be done? Because I've been trying to learn from my previous inquiries that has been answered on earlier.
Similar Question and I'm trying to put to practice what has been recommended so far.
python python-3.x beautifulsoup
New contributor
$endgroup$
4
$begingroup$
Welcome to Code Review. The current question title, which states your concerns about the code, applies to too many questions on this site to be useful. The site standard is for the title to simply state the task accomplished by the code. Please see How to Ask for examples, and revise the title accordingly.
$endgroup$
– Zeta
18 hours ago
add a comment |
$begingroup$
I've been experimenting more with webcrawling and hence have started to get a better understanding compared to my previous questions. Right now, my code scraps from a car forum on each page; and iterates through every pages. What would you recommend to improve on?
import requests
from bs4 import BeautifulSoup, SoupStrainer
import pandas as pd
list_topic =
list_time =
SESSION = requests.Session()
def get_response(url): # Gets the <html> structure from the website #
response = SESSION.get(url)
soup = BeautifulSoup(response.text, 'lxml',
parse_only=SoupStrainer('ul', {'class': 'posts posts-archive'}))
return soup
def iteration(url, max_page=52):
starting_page = 1
while starting_page <= max_page:
## formats the new URL etc (https://paultan.org/topics/test-drive-reviews/page/1) ##
new_url = url + f"page/{starting_page}"
data = get_response(new_url)
get_reviews(data)
## iteration starts ##
starting_page += 1
def get_reviews(response):
for container in response('article'):
title = container.h2.a.text
time = container.time.text
list_topic.append(title)
list_time.append(time)
else:
None
def create_pdReview():
return pd.DataFrame({'Title': list_topic, 'Time': list_time})
if __name__ == '__main__':
URL = 'https://paultan.org/topics/test-drive-reviews/'
print(iteration(URL))
print(create_pdReview())
I've been wondering; would using yield
improve the efficiency and simplicity of the code? How would it be done? Because I've been trying to learn from my previous inquiries that has been answered on earlier.
Similar Question and I'm trying to put to practice what has been recommended so far.
python python-3.x beautifulsoup
New contributor
$endgroup$
I've been experimenting more with webcrawling and hence have started to get a better understanding compared to my previous questions. Right now, my code scraps from a car forum on each page; and iterates through every pages. What would you recommend to improve on?
import requests
from bs4 import BeautifulSoup, SoupStrainer
import pandas as pd
list_topic =
list_time =
SESSION = requests.Session()
def get_response(url): # Gets the <html> structure from the website #
response = SESSION.get(url)
soup = BeautifulSoup(response.text, 'lxml',
parse_only=SoupStrainer('ul', {'class': 'posts posts-archive'}))
return soup
def iteration(url, max_page=52):
starting_page = 1
while starting_page <= max_page:
## formats the new URL etc (https://paultan.org/topics/test-drive-reviews/page/1) ##
new_url = url + f"page/{starting_page}"
data = get_response(new_url)
get_reviews(data)
## iteration starts ##
starting_page += 1
def get_reviews(response):
for container in response('article'):
title = container.h2.a.text
time = container.time.text
list_topic.append(title)
list_time.append(time)
else:
None
def create_pdReview():
return pd.DataFrame({'Title': list_topic, 'Time': list_time})
if __name__ == '__main__':
URL = 'https://paultan.org/topics/test-drive-reviews/'
print(iteration(URL))
print(create_pdReview())
I've been wondering; would using yield
improve the efficiency and simplicity of the code? How would it be done? Because I've been trying to learn from my previous inquiries that has been answered on earlier.
Similar Question and I'm trying to put to practice what has been recommended so far.
python python-3.x beautifulsoup
python python-3.x beautifulsoup
New contributor
New contributor
edited 7 mins ago
Minial
New contributor
asked 19 hours ago
MinialMinial
475
475
New contributor
New contributor
4
$begingroup$
Welcome to Code Review. The current question title, which states your concerns about the code, applies to too many questions on this site to be useful. The site standard is for the title to simply state the task accomplished by the code. Please see How to Ask for examples, and revise the title accordingly.
$endgroup$
– Zeta
18 hours ago
add a comment |
4
$begingroup$
Welcome to Code Review. The current question title, which states your concerns about the code, applies to too many questions on this site to be useful. The site standard is for the title to simply state the task accomplished by the code. Please see How to Ask for examples, and revise the title accordingly.
$endgroup$
– Zeta
18 hours ago
4
4
$begingroup$
Welcome to Code Review. The current question title, which states your concerns about the code, applies to too many questions on this site to be useful. The site standard is for the title to simply state the task accomplished by the code. Please see How to Ask for examples, and revise the title accordingly.
$endgroup$
– Zeta
18 hours ago
$begingroup$
Welcome to Code Review. The current question title, which states your concerns about the code, applies to too many questions on this site to be useful. The site standard is for the title to simply state the task accomplished by the code. Please see How to Ask for examples, and revise the title accordingly.
$endgroup$
– Zeta
18 hours ago
add a comment |
1 Answer
1
active
oldest
votes
$begingroup$
When we are discussing performance of a particular piece of code, it's important to recognize bottlenecks and major contributors to the runtime of the program.
In your particular case, even though you've applied some optimizations like SoupStrainer
speed-up for HTML parsing, the synchronous nature of the script is the biggest problem by far. The script is processing pages one by one, not getting to the next page until the processing for the current page is finished.
Switching to an asynchronous approach would be the natural next step in your optimizations. Look into using third-party frameworks like Scrapy
or, if you are adventurous, things like asyncio
or grequests
.
You could apply one more optimization to your current script which should help you optimize the "crawling/scraping" part - instead of using requests.get()
, initialize session = requests.Session()
and use session.get()
to make requests (documentation). This would allow the underlying TCP connection to be re-used for subsequent requests resulting in a performance increase.
$endgroup$
$begingroup$
I've changed the way of iteration; but it looks like an honest mess at the moment. I've used Session as you've recommended ~ but at the moment I'm trying to think how to simplify and get it to work with my previous version =l.
$endgroup$
– Minial
23 mins ago
add a comment |
Your Answer
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1 Answer
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1 Answer
1
active
oldest
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oldest
votes
active
oldest
votes
$begingroup$
When we are discussing performance of a particular piece of code, it's important to recognize bottlenecks and major contributors to the runtime of the program.
In your particular case, even though you've applied some optimizations like SoupStrainer
speed-up for HTML parsing, the synchronous nature of the script is the biggest problem by far. The script is processing pages one by one, not getting to the next page until the processing for the current page is finished.
Switching to an asynchronous approach would be the natural next step in your optimizations. Look into using third-party frameworks like Scrapy
or, if you are adventurous, things like asyncio
or grequests
.
You could apply one more optimization to your current script which should help you optimize the "crawling/scraping" part - instead of using requests.get()
, initialize session = requests.Session()
and use session.get()
to make requests (documentation). This would allow the underlying TCP connection to be re-used for subsequent requests resulting in a performance increase.
$endgroup$
$begingroup$
I've changed the way of iteration; but it looks like an honest mess at the moment. I've used Session as you've recommended ~ but at the moment I'm trying to think how to simplify and get it to work with my previous version =l.
$endgroup$
– Minial
23 mins ago
add a comment |
$begingroup$
When we are discussing performance of a particular piece of code, it's important to recognize bottlenecks and major contributors to the runtime of the program.
In your particular case, even though you've applied some optimizations like SoupStrainer
speed-up for HTML parsing, the synchronous nature of the script is the biggest problem by far. The script is processing pages one by one, not getting to the next page until the processing for the current page is finished.
Switching to an asynchronous approach would be the natural next step in your optimizations. Look into using third-party frameworks like Scrapy
or, if you are adventurous, things like asyncio
or grequests
.
You could apply one more optimization to your current script which should help you optimize the "crawling/scraping" part - instead of using requests.get()
, initialize session = requests.Session()
and use session.get()
to make requests (documentation). This would allow the underlying TCP connection to be re-used for subsequent requests resulting in a performance increase.
$endgroup$
$begingroup$
I've changed the way of iteration; but it looks like an honest mess at the moment. I've used Session as you've recommended ~ but at the moment I'm trying to think how to simplify and get it to work with my previous version =l.
$endgroup$
– Minial
23 mins ago
add a comment |
$begingroup$
When we are discussing performance of a particular piece of code, it's important to recognize bottlenecks and major contributors to the runtime of the program.
In your particular case, even though you've applied some optimizations like SoupStrainer
speed-up for HTML parsing, the synchronous nature of the script is the biggest problem by far. The script is processing pages one by one, not getting to the next page until the processing for the current page is finished.
Switching to an asynchronous approach would be the natural next step in your optimizations. Look into using third-party frameworks like Scrapy
or, if you are adventurous, things like asyncio
or grequests
.
You could apply one more optimization to your current script which should help you optimize the "crawling/scraping" part - instead of using requests.get()
, initialize session = requests.Session()
and use session.get()
to make requests (documentation). This would allow the underlying TCP connection to be re-used for subsequent requests resulting in a performance increase.
$endgroup$
When we are discussing performance of a particular piece of code, it's important to recognize bottlenecks and major contributors to the runtime of the program.
In your particular case, even though you've applied some optimizations like SoupStrainer
speed-up for HTML parsing, the synchronous nature of the script is the biggest problem by far. The script is processing pages one by one, not getting to the next page until the processing for the current page is finished.
Switching to an asynchronous approach would be the natural next step in your optimizations. Look into using third-party frameworks like Scrapy
or, if you are adventurous, things like asyncio
or grequests
.
You could apply one more optimization to your current script which should help you optimize the "crawling/scraping" part - instead of using requests.get()
, initialize session = requests.Session()
and use session.get()
to make requests (documentation). This would allow the underlying TCP connection to be re-used for subsequent requests resulting in a performance increase.
edited 10 hours ago
answered 10 hours ago
alecxealecxe
15.1k53478
15.1k53478
$begingroup$
I've changed the way of iteration; but it looks like an honest mess at the moment. I've used Session as you've recommended ~ but at the moment I'm trying to think how to simplify and get it to work with my previous version =l.
$endgroup$
– Minial
23 mins ago
add a comment |
$begingroup$
I've changed the way of iteration; but it looks like an honest mess at the moment. I've used Session as you've recommended ~ but at the moment I'm trying to think how to simplify and get it to work with my previous version =l.
$endgroup$
– Minial
23 mins ago
$begingroup$
I've changed the way of iteration; but it looks like an honest mess at the moment. I've used Session as you've recommended ~ but at the moment I'm trying to think how to simplify and get it to work with my previous version =l.
$endgroup$
– Minial
23 mins ago
$begingroup$
I've changed the way of iteration; but it looks like an honest mess at the moment. I've used Session as you've recommended ~ but at the moment I'm trying to think how to simplify and get it to work with my previous version =l.
$endgroup$
– Minial
23 mins ago
add a comment |
Minial is a new contributor. Be nice, and check out our Code of Conduct.
Minial is a new contributor. Be nice, and check out our Code of Conduct.
Minial is a new contributor. Be nice, and check out our Code of Conduct.
Minial is a new contributor. Be nice, and check out our Code of Conduct.
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$begingroup$
Welcome to Code Review. The current question title, which states your concerns about the code, applies to too many questions on this site to be useful. The site standard is for the title to simply state the task accomplished by the code. Please see How to Ask for examples, and revise the title accordingly.
$endgroup$
– Zeta
18 hours ago