When this happens...
Finished Actor Run
Finished Task Run
Automatically do this!
Enable Integrations or automations with these events of Apify and Coursera: Data Science Specialization
Triggers whenever a selected actor is run and finished.
Triggers whenever a selected task is run and finished.
Run a selected actor task.
Creates a new or updates an existing record in a key-value store.
Runs a selected actor.
Finds the most recent actor run with a specific status.
Find a dataset in Apify by searching with its ID.
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To start, connect both your Apify and Coursera: Data Science Specialization accounts to viaSocket. Once connected, you can set up a workflow where an event in Apify triggers actions in Coursera: Data Science Specialization (or vice versa).
Absolutely. You can customize how Apify data is recorded in Coursera: Data Science Specialization. This includes choosing which data fields go into which fields of Coursera: Data Science Specialization, setting up custom formats, and filtering out unwanted information.
The data sync between Apify and Coursera: Data Science Specialization 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 Apify and Coursera: Data Science Specialization. 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.
Apify is a powerful, scalable platform designed to automate web scraping, data extraction, and web automation tasks effortlessly. Whether you need to collect data from websites, automate repetitive browser actions, or build complex workflows, Apify provides a robust, developer-friendly environment to make it happen—without sacrificing flexibility or control.
Learn MoreMaster the art of data science with Coursera’s Data Science Specialization, created by Johns Hopkins University. This program guides you through the full data science pipeline—from data wrangling and statistical analysis to machine learning and data visualization—using R and real-world projects.
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