kandi X-RAY | scraping-with-python Summary
kandi X-RAY | scraping-with-python Summary
scraping-with-python
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QUESTION
I am trying to extract an information with beautifulsoap, however when I do it it extracts it with very rare symbols. But when I enter directly to the page everything looks good and the page has the label
my code is:
...ANSWER
Answered 2020-Aug-25 at 20:10import requests
from bs4 import BeautifulSoup
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:79.0) Gecko/20100101 Firefox/79.0'
}
def main(url):
r = requests.get(url, headers=headers)
soup = BeautifulSoup(r.content, 'html.parser')
print(soup.prettify())
main("https://www.jcchouinard.com/web-scraping-with-python-and-requests-html/")
QUESTION
I'm looking for help with two main things: (1) scraping a web page and (2) turning the scraped data into a pandas dataframe (mostly so I can output as .csv, but just creating a pandas df is enough for now). Here is what I have done so far for both:
(1) Scraping the web site:
- I am trying to scrape this page: https://www.osha.gov/pls/imis/establishment.inspection_detail?id=1285328.015&id=1284178.015&id=1283809.015&id=1283549.015&id=1282631.015. My end goal is to create a dataframe that would ideally contain only the information I am looking for (i.e. I'd be able to select only the parts of the site that I am interested in for my df); it's OK if I have to pull in all the data for now.
- As you can see from the URL as well as the ID hyperlinks underneath "Quick Link Reference" at the top of the page, there are five distinct records on this page. I would like each of these IDs/records to be treated as an individual row in my pandas df.
EDIT: Thanks to a helpful comment, I'm including an example of what I would ultimately want in the table below. The first row represents column headers/names and the second row represents the first inspection.
...ANSWER
Answered 2020-Jan-24 at 17:59For this type of page you don't really need beautifulsoup; pandas is enough.
QUESTION
I cant seem to "inspect" the right function for beautiful soup to function. I am trying to follow these guides but I cant seem to get past this point.
https://www.youtube.com/watch?v=XQgXKtPSzUI&t=119s Web scraping with Python
I am trying to webscrape a website to compare four vehicles by Safety features, Maintenance cost, and Price point. I am using spyder (python 3.6)
...ANSWER
Answered 2019-May-28 at 09:12from urllib.request urlopen as uReq
QUESTION
Followed this tutorial about Web Scraping with Python and BeautifulSoup to learn the ropes - However Pycharm returns an error which I do not understand
Hi there!
Tried the above mentioned tutorial with an adjusted link as the actual link the tutorial expired (New link I used) However, when I click Run i get several errors Tried the type hint of PyCharm to no avail.
...ANSWER
Answered 2019-Apr-06 at 20:51You need to wrap /pycon
in "" or escape it with \
QUESTION
I am writing a Python web scraper that grabs the price of a certain stock. At the end of my program, there are a few print statements to correctly parse the html data so I can grab the stock's price info within a certain HTML span tag. My question is: How do I do this? I have gotten so far as to get the correct HTML span tag. I thought you could simply do a string splice, however the price of the stock is subject to incessant change and I figure this solution would not be conducive for this problem. I recently started using BeautifulSoup, so a little advice would be much appreciated.
...ANSWER
Answered 2018-Jul-09 at 05:26You can use .find
with .text
function to get your required value.
Ex:
QUESTION
A common pattern with asyncio, like the one shown here, is to add a collection of coroutines to a list, and then asyncio.gather
them.
For instance:
...ANSWER
Answered 2018-Jun-26 at 16:38However, because my
generate_tasks
never usesawait
, execution is never passed back to the event loop
You can use await asyncio.sleep(0)
to force yielding to the event loop inside for
. But that is unlikely to make a difference, creating a task/coroutine pair is really efficient.
Before optimizing this, measure (with something as simple as time.time
if need be) how much time it takes to execute the [some_task(i) for i in range(100)]
list comprehension. Then consider whether dispersing that time (possibly making it take longer to finish due to increased scheduling overhead) will make any difference for your application. The results might surprise you.
QUESTION
I would like to automatically save the data of cities from this website:
I used beautifulsoup
library to get data from a webpage
ANSWER
Answered 2018-Jan-19 at 02:34You can scrape data from web site using Python, Beautifulsoup library help to clean up the html code and extract. Thare are other libraries also. Even NodeJs alsocan do the same this.
Main thing is your logic. Python and Beautifulsoup will gives you data. You have to analysis and save themin db.
Other Requests, lxml, Selenium, Scrapy
Example
QUESTION
I used beautifulsoup
library to get data from a webpage
ANSWER
Answered 2018-Jan-18 at 16:02The table in your html has no 'metrics' class, so your expression ('table.metrics'
) returns an empty list, which gives you an IndexError
when you try to select the first item.
Since there is only one table on the page, and it has no attributes, you can get all the rows with this expression: 'table tr'
QUESTION
I am painfully new to coding... I just learned how to use the terminal approximately one week ago if that gives you any idea of how n00bish I am. I need to learn how to scrape data from websites so I am practicing on websites that I am familiar with, and I'm trying to create a csv file that shows the data from this url: http://phish.net/song. I essentially modified code from this site (https://chihacknight.org/blog/2014/11/26/an-intro-to-web-scraping-with-python.html) and I'm trying to use it.
...ANSWER
Answered 2018-Jan-11 at 17:14pd.read_html
seems to do what you want.
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Install scraping-with-python
You can use scraping-with-python like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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