Scrapping | Mastering the art of scrapping | Scraper library
kandi X-RAY | Scrapping Summary
kandi X-RAY | Scrapping Summary
Data scraping is a technique in which a computer program extracts data from human-readable output coming from another program.
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
- Scrape search term
- Search for products
- Scrape the IMDB
- Scrape movie data from url
- Get details of a price
- Scrape the main anime page
- Get camera image from given URL
- Add anime list to a csv file
- Save the results to a csv file
- Get a page from a URL
Scrapping Key Features
Scrapping Examples and Code Snippets
Community Discussions
Trending Discussions on Scrapping
QUESTION
I hacked together the code below.
...ANSWER
Answered 2021-May-29 at 16:12You need to store all the sublists of data per ticker into it's own list. Instead of blending them all. Then you can use itertools chain.from_iterable to make one large list per ticket, take every even item as a key and odd item as as values in a dictionary, and put the final dict for each ticker into a larger list. That can turn into a dataframe.
QUESTION
import sys
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.keys import Keys
from selenium.webdriver import ActionChains
from selenium.common.exceptions import TimeoutException, NoSuchElementException
import time
def main():
driver = configuration()
motcle = sys.argv[1]
recherche(driver,motcle)
def configuration():
"""
Permet de faire la configuration nécessaire pour faire le scrapping
:return: driver
"""
path = "/usr/lib/chromium-browser/chromedriver"
driver = webdriver.Chrome(path)
driver.get("https://www.youtube.com/")
return driver
def recherche(driver,motcle):
actionChain = ActionChains(driver)
search = driver.find_element_by_id("search")
search.send_keys(motcle)
search.send_keys(Keys.RETURN)
driver.implicitly_wait(20)
content = driver.find_elements(By.CSS_SELECTOR, 'div#contents ytd-item-section-renderer>div#contents a#thumbnail')
driver.implicitly_wait(20)
links = []
for item in content:
links+= [item.get_attribute('href')]
print(links)
time.sleep(5)
if __name__ == '__main__':
main()
ANSWER
Answered 2021-May-25 at 02:12If you iterate over it directly and add an explicit wait it should pull in all the items you are looking for
QUESTION
I want to save the number of articles in each country in the form of the name of the country, the number of articles in a file for my research work from the following site. To do this, I wrote this code, which unfortunately does not work.
...ANSWER
Answered 2021-May-24 at 08:53You are using the wrong url. Try this:
QUESTION
this is my first MySQL Python program. I don't know why the script crashes, but I know it crashes when it is added to the database. The script function is designed to retrieve information from websites and add this information to the database. This feature will be used over and over again. Could someone help me? Sorry for linguistic errors "Google translate"
My code:
...ANSWER
Answered 2021-May-17 at 10:30you are trying to add to MySQL bs4 tag:
QUESTION
I am fairly new with the concept of domain driven design and just need a nudge in the right direction. I couldn't find anything on the internet for my problem that I am satisfied with. I have an application I built following the domain driven design. Now I am wondering how I can implement includes without using EFC in my application layer. I have a presentational layer (Web API), an application layer that consists of commands and queries (I am using CQRS), a domain layer which stores my models and has the core business logic and my persistence layer that implements Entity Framework Core and a generic repository that looks like this:
...ANSWER
Answered 2021-Mar-22 at 17:41As you have mentioned in the question, using Generic Repository is not recommended by most DDD practitioners, because you lose the Meaningful Contract aspect of Repository in DDD, but if you insist, you can enrich your Generic Repository to have necessary aspects of your ORM like include in Entity Framework.
Be careful of adding more functionalities in your Generic Repository because it gradually transforms to a DAO.
Your Generic Repository could be something like this:
QUESTION
How do I convert this list... list = ['1', 'hello', 'bob', '2', 'third', '3', '0']
To this list.. list = [1, 'hello', 'bob', 2, 'third', 3, 'N/A']
or
list = [1, 2, 3, 'N/A']
Basically I am scrapping data to a list and I need the number from that list & I need to convert all Zero's into N/A. I have tried looping thru the list and replacing it and I get different type errors.
...ANSWER
Answered 2021-Mar-21 at 20:37I suspect your main issue here is that you don't know that str.isdigit() exists, which tests whether a string represents a number (i.e. you can convert it to a number without hitting a ValueError.
Also, if you want to iterate over the indices in a list, you have to do for i in range(len(your_list)), instead of for element in your_list. Python uses for-each loops, unlike languages like C, and the built-in function range() will just produce a list of numbers from 0 to whatever its argument is (in this case, len(your_list)) which you can iterate over and use as indices.
QUESTION
I'm writing an Android app that makes frequent requests to a REST API service. This service has a hard request limit of 2 requests per second, after which it will return HTTP 503 with no other information. I'd like to be a good developer and rate limit my app to stay in compliance with the service's requirements (i.e, not retry-spamming the service until my requests succeed) but it's proving difficult to do.
I'm trying to rate limit OkHttpClient specifically, because I can cleanly slot an instance of a client into both Coil and Retrofit so that all my network requests are limited without me having to do any extra work at the callsites for either of them: I can just call enqueue() without thinking about it. And then it's important that I be able to call cancel() or dispose() on the enqueue()ed requests so that I can avoid doing unnecessary network requests when the user changes the page, for example.
I started by following an answer to this question that uses a Guava RateLimiter inside of an OkHttp Interceptor, and it worked perfectly! Up until I realized that I needed to be able to cancel pending requests, and you can't do that with Guava's RateLimiter, because it blocks the current thread when it acquire()s, which then prevents the request from being cancelled immediately.
I then tried following this suggestion, where you call Thread.interrupt() to get the blocked interceptor to resume, but it won't work because Guava RateLimiters block uninterruptibly for some reason. (Note: doing tryAcquire() instead of acquire() and then interruptibly Thread.sleep()ing isn't a great solution, because you can't know how long to sleep for.)
So then I started thinking about scrapping the Guava solution and implementing a custom ExecutorService that would hold the requests in a queue that would be periodically dispatched by a timer, but it seems like a lot of complicated work for something that may or may not work and I'm way off into the weeds now. Is there a better or simpler way to do what I want?
...ANSWER
Answered 2021-Mar-20 at 02:50Ultimately I decided on not configuring OkHttpClient to be ratelimited at all. For my specific use case, 99% of my requests are through Coil, and the remaining handful are infrequent and done through Retrofit, so I decided on:
- Not using an
Interceptorat all, instead allowing any request that goes through the client to proceed as usual. Retrofit requests are assumed to happen infrequently enough that I don't care about limiting them. - Making a class that contains a
Queueand aTimerthat periodically pops and runs tasks. It's not smart, but it works surprisingly well enough. My Coil image requests are placed into the queue so that they'll callimageLoader.enqueue()when they reach the front, but they can also be cleared from the queue if I need to cancel a request. - If, after all that, I somehow exceed the rate limit by mistake (technically possible, but unlikely,) I'm okay with OkHttp occasionally having to retry the request rather than worrying about never hitting the limit.
Here's the (very simple) queue I came up with:
QUESTION
I am trying to apply a function that extracts a table from a list of scraped links. I am at the final stage where I am applying the get_injury_data function to the links - I have been having issues with successfully executing this. I get the following error:
ANSWER
Answered 2021-Mar-11 at 19:53Solution
So the issue that I was having was that some of the links that I was scraping did not have any data.
To overcome this issue used, I used the possibly function from purrr package. This helped me create a new, error-free function.
The line code that was giving me trouble is as follows:
QUESTION
I'm trying to scrape data from the URL and print out them 1 by 1. Below is my code :
...ANSWER
Answered 2021-Feb-03 at 07:39I assumed that you wish to extract all the numbers from the table, then the line print(listnumber.get_text()) isn't what you are looking for?
i.e. you could store the result into array:
QUESTION
I'm trying to access the data in a without success I tried all the documentation that I found without success hope for help from a genius ...
...ANSWER
Answered 2021-Jan-01 at 00:56Just use regex on the whole response:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Scrapping
You can use Scrapping 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.
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page
