LinkedIn_Scraper | Selenium based automated program | Machine Learning library

 by   tal95shah Python Version: Current License: Apache-2.0

kandi X-RAY | LinkedIn_Scraper Summary

kandi X-RAY | LinkedIn_Scraper Summary

LinkedIn_Scraper is a Python library typically used in Artificial Intelligence, Machine Learning, Selenium applications. LinkedIn_Scraper has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However LinkedIn_Scraper build file is not available. You can download it from GitHub.

An automated console gui program that scrapes information procedurally using selenium and parsel as described below.
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              LinkedIn_Scraper has a low active ecosystem.
              It has 20 star(s) with 3 fork(s). There are 3 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 1 open issues and 2 have been closed. On average issues are closed in 95 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of LinkedIn_Scraper is current.

            kandi-Quality Quality

              LinkedIn_Scraper has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              LinkedIn_Scraper is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              LinkedIn_Scraper releases are not available. You will need to build from source code and install.
              LinkedIn_Scraper has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              LinkedIn_Scraper saves you 63 person hours of effort in developing the same functionality from scratch.
              It has 164 lines of code, 3 functions and 1 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

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            LinkedIn_Scraper Key Features

            No Key Features are available at this moment for LinkedIn_Scraper.

            LinkedIn_Scraper Examples and Code Snippets

            No Code Snippets are available at this moment for LinkedIn_Scraper.

            Community Discussions

            QUESTION

            Create new variables/class instances inside for-loop? Python web scraping
            Asked 2021-Mar-29 at 17:46

            I am currently working on a web scraper that will take urls as inputs, find the page, scrape it, then return results in a CSV. The scraper works well for single URL's at a time. But unfortunately whenever it writes a new line to the scrape results CSV it also appends the previous url's scrape results in each column. I need a loop that will essentially create new class variables inside the loop so that this doesn't happen. Something like that does this: Takes list of urls, then also creates unique class instance.

            ...

            ANSWER

            Answered 2021-Mar-08 at 06:13

            Could you try instantiating a new driver each time? That should reset counters in driver for you.

            Source https://stackoverflow.com/questions/66524874

            QUESTION

            Selenium in Python How to use if else
            Asked 2020-Dec-24 at 00:12
            import os
            from selenium import webdriver
            import time
            from linkedin_scraper import actions
            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.common.exceptions import TimeoutException
            from selenium.common import exceptions  
            from selenium.common.exceptions import StaleElementReferenceException
            from selenium.webdriver.chrome.options import Options
            from credentials import email,password
            
            chrome_options = Options()
            chrome_options.add_argument("--headless")
            driver = webdriver.Chrome("driver/chromedriver", options=chrome_options)
            
            # email = os.getenv("LINKEDIN_USER")
            # password = os.getenv("LINKEDIN_PASSWORD")
            actions.login(driver, email, password) # if email and password isnt given, it'll prompt in terminal
            
            urls = open('C:/Users/reddy/AppsTek/scraping/LinkedIn Scraping/LinkedIn Scraping1/urls3.csv')
            for u in urls:
                try:
                    driver.get(u)
                    companies = []
                    element = driver.find_element_by_class_name('pv-profile-section__toggle-detail-icon')
                    
                    if element:
                        driver.execute_script("arguments[0].click();", element)
                    _ = WebDriverWait(driver, 3).until(EC.presence_of_element_located((By.ID, "experience-section")))
                    all_urls = driver.find_elements_by_css_selector("div > a")
                    for elem in all_urls:
                        text = elem.text
                        company = elem.get_property('href')
                        if "linkedin.com/company" in company:
                            z = company + 'about/'
                            companies.append(z)
                    else:
                        _ = WebDriverWait(driver, 3).until(EC.presence_of_element_located((By.ID, "experience-section")))
                        all_urls = driver.find_elements_by_css_selector("div > a")
                    
                        for elem in all_urls:
                            text = elem.text
                            company = elem.get_property('href')
                            if "linkedin.com/company" in company:
                                z = company + 'about/'
                                companies.append(z)
                    
                    print(companies)
                
                except:
                    print('Nothing found')
                        
            
            ...

            ANSWER

            Answered 2020-Dec-24 at 00:12

            Next time you use try except, try to make use of the exception error that's being thrown instead of just silently handling it. In your case you were getting a NoSuchElementException and you didn't see it.

            To handle that exception you can use find_elements_by_class_name instead of find_element_by_class_name that returns a list and check if that list includes any elements. Slight modifications fixed your code.

            Source https://stackoverflow.com/questions/65406360

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

            Vulnerabilities

            No vulnerabilities reported

            Install LinkedIn_Scraper

            You can download it from GitHub.
            You can use LinkedIn_Scraper 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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            CLONE
          • HTTPS

            https://github.com/tal95shah/LinkedIn_Scraper.git

          • CLI

            gh repo clone tal95shah/LinkedIn_Scraper

          • sshUrl

            git@github.com:tal95shah/LinkedIn_Scraper.git

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