[Selenium] Go to the next page without pressing Next

1. Background / Purpose

Teratail that is often taken care of (https://teratail.com) Occasionally there is a guy who has been left playing for years without being answered at all. I wonder what there are many in terms of categories (tags) I'm thinking of doing good scraping.

What I noticed there is that the last page always ends with 500. The same 500th page is displayed even if you click the "Next" button. It's an endless loop. So I'm going to scrape in a way to avoid it.

2. Premise

This time I will use selenium with Python 3.7.

3. Flow

--Access the unanswered URL "https://teratail.com/feed/not-answered/" --Collect all a tags on each page --Add "/ tag" in href to the list --Pull out the contents of the list and register the tag name as the key in the dictionary. If you have already registered, add it to item. --As long as there is a next button, +1 to the number of pages and crawling. --Exit when page error occurs

4. Whole script

No_answered_Tags.py

def main():

    import pandas as pd
    from selenium import webdriver
    from selenium.webdriver.chrome.options import Options
    from selenium.webdriver.support.ui import WebDriverWait
    from selenium.webdriver.support import expected_conditions as EC
    from selenium.common.exceptions import TimeoutException
    

    options = Options()
    options.add_argument('--headless')
    browser = webdriver.Chrome(executable_path='/Users/anatanonamae/Desktop/Tool/chromedriver', chrome_options=options)

    browser.implicitly_wait(3)

    #Access the first page
    PAGE = 1
    InitURL= "https://teratail.com/search?tab=active&page=" + str(PAGE) + "&q=is%3Anot-answered"
    browser.get(InitURL)
    print("I accessed the first page")

    #Information gathering on each page
    TAG_DIC={}    
    while True:
        A_TAG = browser.find_elements_by_tag_name("a")#collect a tag
        
        taglist=[]
        for TAG in A_TAG :
            HREF = TAG.get_attribute('href') #Collect href
              
            if "tags" in str(HREF):#Collect hrefs containing tags
                if not TAG.text:
                    continue                        
                else:
                     taglist.append(TAG.text)

        for tag in taglist:
            if tag in TAG_DIC:
                 TAG_DIC[tag] += 1
            else:
                TAG_DIC[tag] = 1
            
        NEXT_XPATH = browser.find_elements_by_xpath("//*[@id=\"mainContainer\"]/div[4]/div/p/a/span[contains(text(),\'Following page\')]")

        if NEXT_XPATH:#Add PAGE if there is next
            PAGE += 1

        else:
            print("Got tags at last page.")#If not, it's over
            break

        browser.get(URL)#Go to next page
        WebDriverWait(browser, 2).until(EC.presence_of_all_elements_located)
        print(browser.current_url)
        if browser.title == "Page Not Found":
            print("Got tags at last page.")#If an error occurs on the next page, the process ends.
            break
 
    #Post-processing: Creating a Dataframe
    df = pd.DataFrame([TAG_DIC.keys(),TAG_DIC.values()],index=None).T#Convert to Dataframe
    df.rename(columns={0:"Tag",1:"Count"},inplace =True)#Rename column
    df.sort_values(by=['Count'],ascending=False,inplace =True)#Sort in descending order
    df.reset_index(drop=True,inplace=True)#Reassign index
        
    print(df)

if __name__ == "__main__":
    main()

5. Explanation of each place

1. First, make the basic settings for Selenium.

selenium.py

    options = Options()#Selenium option settings
    options.add_argument('--headless')#Don't open the window
    browser = webdriver.Chrome(executable_path='/Users/anatanonamae/Desktop/Tool/chromedriver', chrome_options=options)#Call driver and set options

    browser.implicitly_wait(3)#Wait time setting

2. Access the first page

access.py

    #Access the first page
    PAGE = 1
    InitURL= "https://teratail.com/search?tab=active&page=" + str(PAGE) + "&q=is%3Anot-answered"
    browser.get(InitURL)#Access with get
    print("I accessed the first page")#browser.current_You can also view the current page with a url.

3. Loop processing We will collect tags on each page. --A Collect all tags with find_elements_by_tag_name --Select the ones that contain "tag" in the href.

• Text cannot be called from href. (NG: HREF.text) --A Extract the text inside the tag and add it to tag_list --Register the listed tag list in the dictionary. If Key exists, add 1 to item.

WebDriverWait (browser, 2) .until (EC.presence_of_all_elements_located) is the same usage as sleep but more powerful. You can instruct to wait until the page is acquired properly. For more information: https://qiita.com/uguisuheiankyo/items/cec03891a86dfda12c9a

loop.py

    #Information gathering on each page
    TAG_DIC={}    
    while True:
        A_TAG = browser.find_elements_by_tag_name("a")#collect a tag
        
        taglist=[]
        for TAG in A_TAG :
            HREF = TAG.get_attribute('href') #Collect href
              
            if "tags" in str(HREF):#Collect hrefs containing tags
                if not TAG.text:#Skip if blank
                    continue                        
                else:
                     taglist.append(TAG.text)

        for tag in taglist:
            if tag in TAG_DIC:
                 TAG_DIC[tag] += 1#Add if the tag exists
            else:
                TAG_DIC[tag] = 1#If not, register a new one and set the initial value to 1.
            
        NEXT_XPATH = browser.find_elements_by_xpath("//*[@id=\"mainContainer\"]/div[4]/div/p/a/span[contains(text(),\'Following page\')]")#「Following page」が含まれるelementを検索

        if NEXT_XPATH:#Add PAGE if there is next
            PAGE += 1

        else:
            print("Got tags at last page.")#If not, it's over
            break

        URL= "https://teratail.com/search?tab=active&page=" + str(PAGE) + "&q=is%3Anot-answered"
        browser.get(URL)#Go to next page
        WebDriverWait(browser, 2).until(EC.presence_of_all_elements_located)
        print(browser.current_url)

4. break processing The reason why this loop ends is when the "Next" button cannot be found. I am making a double saucer when a page error occurs. If it becomes a "page error", there is no "next button", but I want to avoid collecting extra tags on the error page.

break.py

        if browser.title == "Page Not Found":
            print("Got tags at last page.")#If an error occurs on the next page, the process ends.
            break

6. Post-processing We will convert the dictionary to Dataframe. You can swap rows and columns with .T in pd.DataFrame ([TAG_DIC.keys (), TAG_DIC.values ()], index = None) .T. Convenient Convenient.

pandas.py

    #Post-processing: Creating a Dataframe
    df = pd.DataFrame([TAG_DIC.keys(),TAG_DIC.values()],index=None).T#Convert to Dataframe
    df.rename(columns={0:"Tag",1:"Count"},inplace =True)#Rename column
    df.sort_values(by=['Count'],ascending=False,inplace =True)#Sort in descending order
    df.reset_index(drop=True,inplace=True)#Reassign index
        
    print(df)

With that feeling, the result is ...

result.py

Got tags at last page.
                        Tag Count
0                       PHP  3139
1                    Python  2623
2                JavaScript  2428
3                      Ruby  1974
4                Python 3.x  1762
5                 WordPress  1563
・
・
[1369 rows x 2 columns]
・
・

A whopping 1369 lines came out. "Tag list 501" or the one with a count of 1 or picking up trash The cause was that there were quite a lot. It was okay to delete lines with a count of 100 or less in post-processing. If you want to make it more beautiful, do not register excluded words in the dictionary I think it's okay to make a conditional branch.

That's all for this time.