Web-Scraping | Some useful web scrapings

 by   TheNavyInfantry Python Version: Current License: No License

kandi X-RAY | Web-Scraping Summary

kandi X-RAY | Web-Scraping Summary

Web-Scraping is a Python library. Web-Scraping has no bugs, it has no vulnerabilities and it has low support. However Web-Scraping build file is not available. You can download it from GitHub.

Some useful web scrapings
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            kandi-support Support

              Web-Scraping has a low active ecosystem.
              It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              Web-Scraping has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of Web-Scraping is current.

            kandi-Quality Quality

              Web-Scraping has 0 bugs and 0 code smells.

            kandi-Security Security

              Web-Scraping has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              Web-Scraping code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              Web-Scraping does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              Web-Scraping releases are not available. You will need to build from source code and install.
              Web-Scraping has no build file. You will be need to create the build yourself to build the component from source.
              It has 38 lines of code, 1 functions and 2 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed Web-Scraping and discovered the below as its top functions. This is intended to give you an instant insight into Web-Scraping implemented functionality, and help decide if they suit your requirements.
            • check price
            Get all kandi verified functions for this library.

            Web-Scraping Key Features

            No Key Features are available at this moment for Web-Scraping.

            Web-Scraping Examples and Code Snippets

            No Code Snippets are available at this moment for Web-Scraping.

            Community Discussions

            QUESTION

            Is there a more efficient way of accessing a JavaScript Table without Selenium?
            Asked 2022-Mar-03 at 15:26

            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 15:26

            The 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.

            Source https://stackoverflow.com/questions/71337397

            QUESTION

            Scrape data from webpage with BeautifulSoup - How to append data to existing dataframe?
            Asked 2022-Feb-23 at 20:38

            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 16:47

            This 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:

            Source https://stackoverflow.com/questions/71102770

            QUESTION

            Web scraping with python, javascript output
            Asked 2022-Feb-22 at 01:15

            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 01:15

            Try to change User-Agent HTTP header when making request to the server:

            Source https://stackoverflow.com/questions/71214224

            QUESTION

            Concatenating various dfs with different columns but removing repeats
            Asked 2022-Feb-20 at 00:18

            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 Approved

            DF 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 Conclusive

            DF 3 - From web-scraping

            Compound Name Study Type Cas Number Remarks Conclusions Benzaldehyde Specific 384-92-2 Repeat Not Approved

            What 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 Approved

            Here's a little bit of the current code I'm trying to write:

            ...

            ANSWER

            Answered 2022-Feb-20 at 00:18

            pd.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

            Source https://stackoverflow.com/questions/71190176

            QUESTION

            Tablescraping from a website with ID using beautifulsoup
            Asked 2022-Feb-03 at 23:04

            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 16:04

            If you look at page.content, you will see that "Your IP address has been blocked".

            You should add some headers to your request because the website is blocking your request. In your specific case, it will be enough to add a User-Agent:

            Source https://stackoverflow.com/questions/70521500

            QUESTION

            How to perform click on element that inside flexbox
            Asked 2022-Jan-27 at 08:33

            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 08:21

            If 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.

            Source https://stackoverflow.com/questions/70874796

            QUESTION

            Scraping Yelp review content displaying different tags using Beautiful Soup
            Asked 2022-Jan-20 at 23:40

            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 23:40

            You 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:

            Source https://stackoverflow.com/questions/70794641

            QUESTION

            Discord error code 50006: Cannot send an empty message (Although message is displayed on terminal)
            Asked 2021-Dec-31 at 04:16

            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 04:09

            This is just my guess, but maybe variable response is not detected as a string. What you may want to try:

            Source https://stackoverflow.com/questions/70538332

            QUESTION

            DataFrame not showing complete table data
            Asked 2021-Dec-25 at 04:08

            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 03:07

            Because 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.find

            Source https://stackoverflow.com/questions/70477687

            QUESTION

            Beautiful Soup select google image returns empty list
            Asked 2021-Dec-05 at 17:51

            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 17:51

            Unfortunately, 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.

            Source https://stackoverflow.com/questions/70235264

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install Web-Scraping

            You can download it from GitHub.
            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.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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