SerpApi Results to BigQuery - Google Cloud Function

main.py

import base64
import pandas as pd
from serpapi import GoogleSearch
from google.cloud import bigquery
import datetime

def hello_pubsub(event, context):
    
    search_term = "data analyst"
    search_location = "United States"

    for num in range(45):

        start = num * 10
        params = {
            "api_key": "xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx", #Fill in with your API key from SerpApi
            "device": "desktop",
            "engine": "google_jobs",
            "google_domain": "google.com",
            "q": search_term,
            "hl": "en",
            "gl": "us",
            "location": search_location,
            "chips": "date_posted:today",
            "start": start,
        }

        search = GoogleSearch(params)
        results = search.get_dict()

        # check if the last search page (i.e., no results)
        try:
            if results['error'] == "Google hasn't returned any results for this query.":
                break
        except KeyError:
            print(f"Getting SerpAPI data for page: {start}")
        else:
            continue

        # create dataframe of 10 pulled results
        jobs = results['jobs_results']
        jobs = pd.DataFrame(jobs)
        jobs = pd.concat([pd.DataFrame(jobs), 
                        pd.json_normalize(jobs['detected_extensions'])], 
                        axis=1).drop('detected_extensions', 1)
        jobs['date_time'] = datetime.datetime.utcnow()

        # concat dataframe
        if start == 0:
            jobs_all = jobs
        else:
            jobs_all = pd.concat([jobs_all, jobs])

        jobs_all['search_term'] = search_term
        jobs_all['search_location'] = search_location

    # send resluts to BigQuery
    table_id = "xxxxxxxxxxxxxxxxxxxxxxxx" # BigQuery Table name
    client = bigquery.Client()
    table = client.get_table(table_id)
    errors = client.insert_rows_from_dataframe(table, jobs_all)
    if errors == []:
        print("Data loaded into table")
        return "Success"
    else:
        print(errors)
        return "Failed"

@karthickrajja unfortunately, I don't have a recommendation for a free API like this... These types of API's cost money for those providing the services in order to get the data we need; so typically it's hard to find a service that you can get large quantities of data for free

@karthickrajja unfortunately, I don't have a recommendation for a free API like this... These types of API's cost money for those providing the services in order to get the data we need; so typically it's hard to find a service that you can get large quantities of data for free

Thanks for reply luke👍👍👍.....

Hi Luke, Is there another way to use the Serp API because it costs 50$/month for more than 100 searches per month.

you can use serpstack instead..it has alomost same accuracy and it's free also.

Rohan it is also chargeable for more then 100 search per month but it's plan is much cheaper then serpapi....so I'll try it.... thanks 👍👍👍

codes are correct, function is running on GCP but in my system its data is not showing in Bigquery table..why?

Same Issue here, i rechecked the code, Serp API key is correct and Big query table_id too, data just don't shows up in Bigquery no error in the code.

codes are correct, function is running on GCP but in my system its data is not showing in Bigquery table..why?

Same Issue here, i rechecked the code, Serp API key is correct and Big query table_id too, data just don't shows up in Bigquery no error in the code.

well @thomastibouche I tried 2 times but didn't got those data into my BigQuery, then I left because of unavailability of free time to look into it again.
But if you also getting the same error then there is a problem that we aren't aware of..... @lukebarousse ..have you heard this error from anyone else?