Connect Apify and BigML to Build Intelligent Automations
Choose a Trigger
When this happens...
Finished Actor Run
Finished Task Run
New LinkedIn Post
Choose an Action
Automatically do this!
Create Anomaly Score
Create Centroid
Create Prediction
Find Resource
List Sources
List Datasets
List Sample
List Model
List Time Series
List Evaluations
List OptiMLs
List Clusters
List Anomaly Detectors
List Predictions
List Batch Predictions
List Forecasts
List Anomaly Scores
List Batch Anomaly Scores
List Topic Distributions
List Batch Topic Distributions
List Projections
List Batch Projections
List Scripts
List Executions
Ready to use Apify and BigML automations
Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
Finished Actor Run
Triggers whenever a selected actor is run and finished.
Finished Task Run
Triggers whenever a selected task is run and finished.
New LinkedIn Post
Runs when new LinkedIn post
New Resource
Triggers when a new resource is created
Do thisActions
Action is the task that follows automatically within your Apify integrations.
Run Task
Run a selected actor task.
Set Key-Value Store Record
Creates a new or updates an existing record in a key-value store.
Run Actor
Runs a selected actor.
Find Last Actor Run
Finds the most recent actor run with a specific status.
Fetch Dataset Items
Get items from an Apify dataset into your workflow.
Search Dataset By ID
Find a dataset in Apify by searching with its ID.
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Frequently Asked Questions
To start, connect both your Apify and BigML accounts to viaSocket. Once connected, you can set up a workflow where an event in Apify triggers actions in BigML (or vice versa).
Absolutely. You can customize how Apify data is recorded in BigML. This includes choosing which data fields go into which fields of BigML, setting up custom formats, and filtering out unwanted information.
The data sync between Apify and BigML 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 BigML. 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 Apify
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 MoreAbout BigML
BigML is a leading machine learning platform that provides a wide range of tools and services for creating, deploying, and managing machine learning models. It offers an intuitive interface and powerful APIs to help businesses and developers harness the power of machine learning for predictive analytics, anomaly detection, clustering, and more.
Learn More
