tradersber.blogg.se - Webscraper out of selenium

Webscraper out of selenium driver#
Webscraper out of selenium code#

"deviceMetrics": "] = "PinDominant"Ĭheck_row_match= check_Ĭheck_row_country= check_Ĭheck_row_league= check_row.League. Return WebDriverWait(self.driver, 5).until(EC.presence_of_all_elements_located((type, string)))

Return mobject.find_element_by_css_selector(css).get_attribute(attribute) It provides a convenient way to access Selenium webdrivers such as ChromeDriver, Firefox geckodriver, etc. Through Selenium Python API, you can access all functionalities of Selenium WebDriver intuitively. With open("Config/scraped.json", "w+") as newfile:ĭef FindB圜SSAndAttribute(self,mobject, css, attribute): Selenium is a framework designed to automate tests for your web application. # with open("Modules/Config/scraped.json", "w+") as newfile: With open("Config/scraped.json") as oldfile: # with open("Modules/Config/scraped.json") as oldfile: With open("Config/scraped.json") as file: #with open("Modules/Config/scraped.json") as file: In this specific scenario that's 90 faster, which is a huge improvement. TYPE_ODDS = 'OPENING' # you can change to 'OPENING' if you want to collect opening odds, any other value will make the program collect CLOSING odds With a small amount of variation from the original code, we were able to execute the web scraper concurrently to take the script's run time from around 385 seconds to just over 35 seconds. 'Portugal', 'Netherlands','Cyprus','Mexico','Brazil','Uruguay','Serbia','Slovenia','Slovakia','Sweden', 'Norway','USA','Estonia'] O_u_types= Ĭountries=['England','Japan','France','Germany', 'India', 'Chile', 'Italy','Turkey', 'Czech Republic', 'Spain', 'Colombia','Poland','Belgium','Romania','Paraguay', ''' #!/Library/Frameworks/amework/Versions/3.8/bin/python3įrom import Optionsįrom webdriver_manager.chrome import ChromeDriverManagerįrom import Byįrom import Keysįrom import WebDriverWaitįrom import NoSuchElementExceptionįrom import expected_conditions as EC How can I make selenium check if there is already an instance running and wait for that one to finish?

At times when there are many matches running simultaneously, the script cannot scrape all matches before a cronjob starts up the next script and they clash.

How can this be achieved faster/more efficiently?

Performance: Currently it takes 1-2m per game to scrape and analyse it.

Webscraper out of selenium code#

My code still has the following issues, that I am hoping this review may help with: Save scraped links in JSON file, so that they do not become scraped again.Send a telegram message if a pattern was identified.

Evaluate data frame for two odd providers (Asianodds, Pinnacle) and compare actual data against pre-defined patterns.

Regularly scrape all live matches on the betting site.

In this case, we could use contains() function.I have written the following code to achieve the following: Which would equal a value of “Text 1” Containsīut what if we can’t filter ids based on how they start? In the second example, both ids start with “custom_number_1234_” but suppose only want to capture the next page link. For example, if we wanted to get the text inside the span tags, we would use: my_list.text

Webscraper out of selenium driver#

The data will now be stored in a list called my_list and can be manipulated similar to other web driver elements. To find all of these in the document, we would use the find_elements_by_xpath() method. Starts Withįor the first example, we wanted to interact only with the span elements with an id starting with “Content_” so our Xpath would look like this: 'Content_')] Read more on working with XPath in Selenium for Python. Similar to how regular expressions work, we can further use starts-with() and contains() functions with our XPath to isolate the exact elements we are interested in. XPaths allow us to easily select elements we are interested in. We know the id contains “next” but the starting values will change.

If we only wanted to capture information related to the first link, we couldn’t capture all a elements. Or suppose you needed to needed to interact with a link element but part of the id is loaded dynamically and changes each time the page loads. However, the span id changes in each instance. In this case, we don’t want to capture all span elements because we’re only interested in the first three. Occasionally when you’re testing or scraping a web page with Selenium, you may need to select an element or group of elements where you may only know a portion of an attribute.įor instance, suppose we needed to gather the text of multiple elements where the id changes or we may only know a portion of the id. Requirements: Python Anaconda distribution, Basic knowledge of HTML structure and Chrome Inspector tool.What this is for: Isolating elements you want to scrape with Selenium.