Big Query
Pricing
Pay per usage
Big Query
Append a CSV file to a Google bigQuery table. Create a "Service credentials" at the https://console.cloud.google.com/, copy & paste the JSON file into the variable value for 'CREDENTIALS' and set it as a secret.
0.0 (0)
Pricing
Pay per usage
3
Total users
23
Monthly users
2
Last modified
3 years ago
You can access the Big Query programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {}
9
10# Run the Actor and wait for it to finish
11run = client.actor("juansgaitan/big-query").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
15for item in client.dataset(run["defaultDatasetId"]).iterate_items():
16 print(item)
17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startBig Query API in Python
The Apify API client for Python is the official library that allows you to use Big Query API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
