web-scraping | More than 50 web scraping examples using : Requests | Scraper library
kandi X-RAY | web-scraping Summary
kandi X-RAY | web-scraping Summary
[ README IN CONSTRUCTION ]. En este repositorio van a poder encontrar el código actualizado de las clases del curso maestro de Web Scraping. Conforme vayan cambiando las estructuras de las páginas este repositorio en lo posible se mantendrá actualizado. Adicional a esto, también se iran agregando los ejemplos adicionales propuestos por otros estudiantes en las preguntas del curso.
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Top functions reviewed by kandi - BETA
- Parse a paginated item .
- Extra los datos
- Parse an ununcio .
- Parse pagos de infos
- Parse the horario response
- Parse an opinion response
- Parse a list of items
- Parse farmata .
- Convenience function to convert a fecha string to a forma
- Parse the products response
web-scraping Key Features
web-scraping Examples and Code Snippets
Community Discussions
Trending Discussions on web-scraping
QUESTION
I am currently working on a side project to scrape the results of a web form that returns a table that is rendered with JavaScript.
I've managed to get this working fairly easily with Selenium. However, I am querying this form approximately 5,000 times based on a CSV file, which leads to a large processing time (approximately 9 hours).
I would like to know if there is a way I can access the response data directly through Python using the generated request URL instead of rendering the JavaScript.
The website form in question: https://probatesearch.service.gov.uk/
An example of the captured Network Request URL once both parts of the form are completed (entering a year before 1996 will output a different response, these responses can be ignored):
...ANSWER
Answered 2022-Mar-03 at 15:26The general answer is that it seems the UK goverment (or maybe just the court system) is implmetning an API to access the type of data you're looking for - you should definitely read up on that and on APIs generally.
More specifically in your case, the data is availbe through an API call which can be viewed using the developer tab in your browser. See more here, for one of many examples.
So in this case, I assume you know some (but not all) info (in the example below, you know last name, year of death and year of probate) about the case and send an API request containing that info. The call retrieves 7 entries.
QUESTION
With the following code I try to scrape data from a website (reference: https://towardsdatascience.com/web-scraping-scraping-table-data-1665b6b2271c):
...ANSWER
Answered 2022-Feb-13 at 16:47This is not the best strategy to append to a dataframe. Use instead a python data structure like list or dict then at the end of the loop, concat them to get your dataframe:
QUESTION
I am trying to scrap the job information from this website and have been stuck for a few days. When I print the soup.text output I get a short javascript text which is not what I want as I want the html element. I have seen similar solutions to implement 'Header less browsing' but when I implemented that I just received several errors. I am new to web-scraping and have looked at various tutorials, videos and simply am not getting the output I want and have no idea what I am doing wrong.
...ANSWER
Answered 2022-Feb-22 at 01:15Try to change User-Agent HTTP header when making request to the server:
QUESTION
I've been web-scraping a website that has information on many chemical compounds. The problem is that despite all the pages having some information that is the same, it's not consistent. So that means I'll have different amount of columns with each extraction. I want to organize everything in an Excel file so that it's easier for me to filter the information that I want but I've been having a lot of trouble with it.
Examples (there's way more than only 3 dataframes being extracted though): DF 1 - From web-scraping the first page
Compound Name Study Type Cas Number EC Name Remarks Conclusions Aspirin Specific 3439-73-9 Aspirin Repeat ApprovedDF 2 - From web-scraping
Compound Name Study Type Cas Number EC Name Remarks Conclusions Summary EGFR Specific 738-9-8 EGFR Repeat Not Approved None ConclusiveDF 3 - From web-scraping
Compound Name Study Type Cas Number Remarks Conclusions Benzaldehyde Specific 384-92-2 Repeat Not ApprovedWhat I want is something like this:
FINAL DF (image)
I've tried so many things with pd.concat but all attempts were unsucessful.
The closest I've gotten was something similar to this, repeating the columns:
Compound Name Study Type Cas Number EC Name Remarks Conclusions Aspirin Specific 3439-73-9 Aspirin Repeat Approved Compound Name Study Type Cas Number Remarks Conclusions Benzaldehyde Specific 384-92-2 Repeat Not Approved Compound Name Study Type Cas Number EC Name Remarks Conclusions EGFR Specific 738-9-8 EGFR Repeat Not ApprovedHere's a little bit of the current code I'm trying to write:
...ANSWER
Answered 2022-Feb-20 at 00:18pd.concat should do the job. The reason for that error is that one of the dataframes in concat, which is very likely to be data_transposed, has two columns sharing the same name. To see this, you can replace your last line with
QUESTION
Im having a problem with scraping the table of this website, I should be getting the heading but instead am getting
...ANSWER
Answered 2021-Dec-29 at 16:04QUESTION
I'm working on a web-scraping project , I encounter a problem that I couldn't locate the element(1H) by using find_element_by_xpath/id/css-selector/class_name and perform click()on it. Does anyone have any ideas how to make it work ? Thanks in advance!
Here's the part of my code
...ANSWER
Answered 2022-Jan-27 at 08:21If you are just looking to click on 1H web element, you can do it by using the below code. We have to induce explicit wait to get the job done.
QUESTION
I'm practicing web-scraping and trying to grab the reviews from the following page: https://www.yelp.com/biz/jajaja-plantas-mexicana-new-york-2?osq=Vegetarian+Food
This is what I have so far after inspecting the name element on the webpage:
...ANSWER
Answered 2022-Jan-20 at 23:40You could use json module to parse content of script tags, which is accessible by .text field
Here is the example of parsing all script jsons and printing name:
QUESTION
I'm trying to build a simple Discord bot which finds information about a specific stock when its name or symbol is inputted by the user. I included my code which web-scraped all the data into another document, but it's included in my bot.py file. I have it set up so that when I type viewall, a list of all the stocks should appear. However, when typing that command in my Discord server, I get nothing. However, the output on my terminal is:
ANSWER
Answered 2021-Dec-31 at 04:09This is just my guess, but maybe variable response is not detected as a string. What you may want to try:
QUESTION
I web-scraped some information about S&P 500 stocks from this website: https://www.slickcharts.com/sp500. The actual web-scraping bit works fine, as if I add a print statement after the for loop included, all data is displayed. In other words, the code:
...ANSWER
Answered 2021-Dec-25 at 03:07Because you keep reassigning company, symbol, weight, etc. on each iteration, these variables only hold the values from the last row you parsed.
You can use pd.read_html instead. It returns a list of data frames, one for each
soup.findQUESTION
I would like to retrieve information from Google Arts & Culture using BeautifulSoup.
I have checked many of the stackoverflow posts ([1],
[2],
[3],
[4],
[5]), and still couldn't retrieve the information.
I would like each tile (picture)'s (li) information such as href, however, find_all and select one return empty list or None.
Could you help me get the below href value of anchor tag of class "e0WtYb HpzMff PJLMUc" ?
href="/entity/claude-monet/m01xnj?categoryId=artist"
Below are what I had tried.
...ANSWER
Answered 2021-Dec-05 at 17:51Unfortunately, the problem is not that you're using BeautifulSoup wrong. The webpage that you're requesting appears to be missing its content! I saved html.text to a file for inspection:
Why does this happen? Because the webpage actually loads its content using JavaScript. When you open the site in your browser, the browser executes the JavaScript, which adds all of the artist squares to the webpage. (You may even notice the brief moment during which the squares aren't there when you first load the site.) On the other hand, requests does NOT execute JavaScript—it just downloads the contents of the webpage and saves them to a string.
What can you do about it? Unfortunately, this means that scraping the website will be really tough. In such cases, I would suggest looking for an alternative source of information or using an API provided by the website.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install web-scraping
You can use web-scraping 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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