I have been using the below code to fetch the Google Trends data but constantly getting errors is there any way to do this and get the trends data which I want?

I tried using it with some third party apis its working fine the issue arises with google API trying to time out and I am running the code from collab.

# Install pytrends library if not already installed
# !pip install pytrends

import pandas as pd
import matplotlib.pyplot as plt
import time
from pytrends.request import TrendReq

# Initialize pytrends
pytrends = TrendReq(hl='en-US', tz=360)

# List of search terms
search_terms = [
    "GBTC ETF", "GBTC price",
    "Bitcoin ETF", "Ethereum ETF"
]

# Function to fetch and plot Google Trends data
def fetch_and_plot_trends(search_terms, time_frame='2010-01-01 2024-01-01', frequency='weekly'):
    all_data = pd.DataFrame()
    
    for term in search_terms:
        try:
            pytrends.build_payload([term], timeframe=time_frame)
            data = pytrends.interest_over_time()
            
            if 'isPartial' in data.columns:
                data = data.drop(columns=['isPartial'])
            
            data.rename(columns={term: 'search_score'}, inplace=True)
            data['search_term'] = term
            all_data = pd.concat([all_data, data])
            
            # Adding a delay to avoid hitting rate limits
            time.sleep(10)
        except Exception as e:
            print(f"An error occurred for term '{term}': {e}")
    
    # Plot the data
    plt.figure(figsize=(14, 8))
    for term in search_terms:
        term_data = all_data[all_data['search_term'] == term]
        plt.plot(term_data.index, term_data['search_score'], label=term)
    
    plt.title('Google Search Scores for Specified Terms')
    plt.xlabel('Date')
    plt.ylabel('Search Score')
    plt.legend()
    plt.grid(True)
    plt.show()

# Fetch and plot the trends data
fetch_and_plot_trends(search_terms, time_frame='2010-01-01 2024-01-01', frequency='weekly')