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1. #Install selenium for java on mac install#
2. #Install selenium for java on mac drivers#
3. #Install selenium for java on mac download#
4. #Install selenium for java on mac mac#
5. #Install selenium for java on mac windows#

This was useful to me because there were a small, finite number of URLs I needed to scrape. You use urlArray.append(“”) to manually add URLs to scrape. The script I’ve provided is good for a starting point, but you need your own MySQL database details and you need to be targeting the data you want to collect using the CSS selectors that the site uses.

Print("Added %s to the database!" % result_title) Mycursor.execute(sql, val) #execute the querry Print("Title: %s - Cost: %s - Image: %s - PartNo: %s -" % (result_title, result_cost, result_img, result_partno )) Val = (str(result_title), str(result_partno).replace("Part Number:",""), str(result_brand), str(result_img), str(result_cost).replace("$","")) #values in query go here Result_partno_pre = searchResults.find_element_by_css_selector("td.PD-number strong") Result_img = result_img_pre.get_attribute("src") Result_img_pre = searchResults.find_element_by_css_selector('.product-image a img') Str(result_cost_pre).replace("Your Price:","") Result_cost_pre = searchResults.find_element_by_css_selector("span.PC-price") #get the price Print("This item is no longer available") Result_title_pre = searchResults.find_element_by_css_selector("td.PD-name h2 a") #find the title SearchResulted = i = 0: #Pause on the first one for 15 seconds so we can log in Select = Select(browser.find_element_by_id('MainContent_DDLPageSize')) #here we are trying to select 100 from the drop down If i != 0: #Don't do this on the first one Result_partno = "" # Inside a TR, in a TD with class "PD-number" Result_img = "" # Inside TR in TD with class "product-image" in an A tag, in an IMG tag in the SRC Result_cost = "0.00" # Inside a table class name "product-cart" in a span with class "PC-Price" Result_title = "" # Inside of an A tag, inside of an H2, inside a TR inside a TD with class name "PD-name" inside table with class name "product-details" inside another table with class "product" /// Actually inside the IMAGE the ALT tag has a better title! # The main stuff we're looking to extract for each product: UrlArray.append("") #log in to partner website first Result_brand = "BrandName" #fill out this before running per brand UrlArray = # Make an array for all our pages Chrome(), or with the browser of your choice Mycursor = mydb.cursor() #Use this for messing around with database resultsīrowser = webdriver.Firefox() #replace with. Import nnector #We need MySQL for this projectįrom bs4 import BeautifulSoup #This make HTML parsing much easierįrom import Select

#Install selenium for java on mac drivers#

You can always find the latest official drivers at this URL: įrom selenium import webdriver # Selenium for opening browsers There are also drivers for Safari and Edge.

#Install selenium for java on mac windows#

#Install selenium for java on mac mac#

#Install selenium for java on mac download#

Because of this requirement, I recommend disabling auto-updates on Chrome or use Firefox so that you don’t constantly need to download new webdrivers everytime Chrome releases an update.

You must select the Chrome webdriver that corresponds to the version of the web browser you are using. This makes Firefox more desirable to use… except there is a known bug with the Firefox webdriver on MacOS, which makes it a little trickier to set up initially. The Chrome webdriver needs to be updated everytime Chrome updates, but the Firefox webdriver does not. The webdrivers allow Selenium through Python to control the web browser as if they were a user.

#Install selenium for java on mac install#

Next, we need to pick Firefox and/or Chrome and install their webdrivers.