Created
January 4, 2025 19:55
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pytrends
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| import time, json | |
| from selenium import webdriver | |
| from selenium.webdriver.chrome.service import Service | |
| from webdriver_manager.chrome import ChromeDriverManager | |
| from selenium.webdriver.common.by import By | |
| from selenium.webdriver.support.wait import WebDriverWait | |
| from selenium.webdriver.support import expected_conditions as EC | |
| from parsel import Selector | |
| from bs4 import BeautifulSoup | |
| import pandas as pd | |
| GEO = "US" | |
| search_term= "AMC" | |
| search_term2= "stock" | |
| HL="en" | |
| URL=f"https://trends.google.com/trends/explore?q={search_term}%20{search_term2}&date=now%201-d&geo={GEO}&hl={HL}" | |
| # graph is in units of 8 minute increments | |
| timeframe=60 # set to 8 hrs | |
| def Google_Trend_Data(url,timeframe): | |
| service = Service(ChromeDriverManager().install()) | |
| options = webdriver.ChromeOptions() | |
| options.add_argument("--headless") | |
| options.add_argument("--lang=en") | |
| options.add_argument("user-agent=Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/104.0.0.0 Safari/537.36") | |
| userdatadir = 'C:/Users/jonat/AppData/Local/Google/Chrome/User Data' | |
| options.add_argument(f"--user-data-dir={userdatadir}") | |
| driver = webdriver.Chrome(service=service,options=options) | |
| driver.get(url) | |
| WebDriverWait(driver, 10000).until(EC.visibility_of_element_located((By.TAG_NAME, 'body'))) | |
| time.sleep(5) | |
| selector = driver.page_source | |
| soup=BeautifulSoup(selector,'html.parser') | |
| columns=[] | |
| df=pd.DataFrame(columns=columns) | |
| table=soup.select('td') | |
| odd_i = [] | |
| even_i = [] | |
| for i in range(0, len(table)): | |
| if i % 2: | |
| even_i.append(table[i]) | |
| else : | |
| odd_i.append(table[i]) | |
| date_table=odd_i | |
| value_table=even_i | |
| date_table=date_table[::-1] | |
| int_value_table=[] | |
| for item in value_table: | |
| item=str(item) | |
| item=item.replace("<td>","") | |
| item=item.replace("</td>","") | |
| item=int(item) | |
| int_value_table.append(item) | |
| int_value_table.reverse() | |
| df['Date']=date_table[0:timeframe] | |
| df['Interest over Time']=int_value_table[0:timeframe] | |
| mean=df['Interest over Time'].mean() | |
| print(df.to_string()) | |
| print(mean) | |
| driver.quit() | |
| return df,mean | |
| if __name__ == "__main__": | |
| frame, result = Google_Trend_Data(URL,timeframe) |
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