Connect ScraperAPI and Google Bigquery to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for ScraperAPI
Choose an Action
Automatically do this!
Run a Query
Find Row
Create a Table
Enable Integrations or automations with these events of ScraperAPI and Google Bigquery
Enable Integrations or automations with these events of ScraperAPI and Google Bigquery
Actions
Scrape Webpage
Fetches the HTML content of a specified URL using ScraperAPI.
Run a Query
run a sql query against a table in bigquery.
Find Row
Find row(s) by specifying a table, a WHERE clause, an optional ORDER BY, and a LIMIT.
Create a Table
Creates a new, empty table in the dataset.
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Frequently Asked Questions
To start, connect both your ScraperAPI and Google Bigquery accounts to viaSocket. Once connected, you can set up a workflow where an event in ScraperAPI triggers actions in Google Bigquery (or vice versa).
Absolutely. You can customize how ScraperAPI data is recorded in Google Bigquery. This includes choosing which data fields go into which fields of Google Bigquery, setting up custom formats, and filtering out unwanted information.
The data sync between ScraperAPI and Google Bigquery typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between ScraperAPI and Google Bigquery. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
About ScraperAPI
ScraperAPI is a powerful tool designed to simplify the process of web scraping by handling proxies, browsers, and CAPTCHAs for you. It allows developers to easily extract data from websites without worrying about the complexities of web scraping infrastructure.
Learn MoreAbout Google Bigquery
BigQuery is Google's serverless and highly scalable enterprise data warehouse, designed to make all your data analysts productive.
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