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def googletrends_queries(keywords, geo, loops=3, wait=10, csv='trends.csv'): | |
# Perform searches | |
print('Number of queries to do: ', len(keywords) * len(geo)) | |
# Prepare containers | |
trends = dict.fromkeys(geo) | |
errors_list = [] | |
cnt = 1 | |
# Start loops | |
for g in geo: | |
trends[g] = {} | |
for k in keywords: | |
try: | |
time.sleep(wait) | |
pytrends.build_payload([k], timeframe='all', geo=g, gprop='') | |
trends[g][k] = pytrends.interest_over_time()[k] | |
#print(cnt, 'Success: ', g, k) | |
except: | |
print(cnt, ') Error: ', g, ' & ', k) | |
errors_list.append([g,k]) | |
cnt+=1 | |
### Redo searches with errors | |
if len(errors_list) > 0: | |
print('\nStart errors:') | |
for t in range(1,loops+1): | |
if len(errors_list) > 0: | |
print('Loop ', t, ': ', len(errors_list), 'errors') | |
for i in errors_list: | |
g = i[0] # 1st element geo | |
k = i[1] # 2nd element keyword | |
try: | |
time.sleep(wait) | |
pytrends.build_payload([k], timeframe='all', | |
geo=g, gprop='') | |
trends[g][k] = pytrends.interest_over_time()[k] | |
errors_list.remove([g,k]) # remove from list of errors | |
#print('Success: ', g, k) | |
except: | |
#print('*** Error: ', g, ' & ', k) | |
pass | |
print('\nDone -', len(errors_list), 'errors left') | |
### Save dataframe | |
dict_of_trends = {g: pd.DataFrame(k) for g,k in trends.items()} | |
data_df = pd.concat(dict_of_trends, axis=1) | |
data_df.to_csv(csv,index=False) | |
display(data_df.head()) # Check data | |
return data_df |
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