Connect BigML and Apify
Integrate BigML with Apify to automate workflows, sync data between apps, and eliminate repetitive tasks with AI-powered automation.
Popular BigML + Apify flows
Start from a real workflow other teams are already running.
Choose a trigger
BigML
When this happens...
New Resource
Choose an action
Apify
Automatically do this!
Run Actor Task
Create or Update Key-Value Record
Run Actor
Find Latest Actor Run
Get Dataset Items
Get Dataset By ID
Run Actor Task on Apify when New Resource in Bigml
Use this flowCreate or Update Key-Value Record in Apify when New Resource in Bigml
Use this flowRun Actor on Apify when New Resource in Bigml
Use this flowFind Latest Actor Run in Apify when New Resource in Bigml
Use this flowGet Dataset Items from Apify when New Resource in Bigml
Use this flowGet Dataset By ID from Apify when New Resource in Bigml
Use this flowCreate Anomaly Score in Bigml when When a selected actor completes a run in Apify
Use this flowCreate Centroid using BigML when When a selected actor completes a run in Apify
Use this flowCreate Prediction in BigML when When a selected actor completes a run in Apify
Use this flowFind Resource in Bigml when When a selected actor completes a run in Apify
Use this flowSupported Triggers & Actions
Everything you can automate between BigML and Apify.
When this happensTriggers
A trigger is an event that starts a workflow.
New Resource
Triggers when a new resource is created
When a selected actor completes a run
Runs the workflow automatically whenever the selected actor completes a run.
When a run of the selected task finishes
Runs the workflow automatically whenever a run of the selected task finishes.
New LinkedIn Post
Runs when new LinkedIn post
Do thisActions
Action is the task that follows automatically within your BigML integrations.
Create Anomaly Score
Calculates the anomaly score of a data instance.
Create Centroid
Find out the closest cluster to your data instance
Create Prediction
Predict using a model , logistic regression or deepnets
Find Resource
Finds a resource
List Sources
Get all the sources.
List Datasets
Get all the dataset.
Learn how to build your first workflow
Follow a simple walkthrough to create, test, and launch your first automation.
- 1
Connect your apps
Link the apps you want to automate.
- 2
Configure your workflow
Set up triggers, actions, and map your data.
- 3
Test & publish
Test your workflow and publish it.
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AI will build it for you
Just describe the task in plain English. viaSocket AI selects the right apps, builds the workflow, maps the fields, and prepares everything for review before you publish.
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About 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.
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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 moreSimilar apps
Frequently Asked Questions
Sign up for a free viaSocket account, then authorize both your BigML and Apify accounts. From there, pick a trigger in one app and an action in the other. Your first workflow can be live in under five minutes.
Yes. viaSocket uses instant triggers where available, so data moves between BigML and Apify as soon as the event happens. Scheduled polling triggers run at a maximum interval of 15 minutes.
Yes. You can map specific fields, apply filters to skip records that do not match your conditions, and transform values before they reach Apify. No coding required.
Yes. You can set up a workflow where BigML triggers actions in Apify, and a separate workflow where Apify triggers actions in BigML. Both run independently and in real time.
viaSocket logs every run so you can see exactly what succeeded and what failed. Failed tasks can be retried from the dashboard without re-configuring the workflow.
Yes, there is a free plan that covers basic workflows between BigML and Apify. Paid plans unlock higher task limits, faster polling, and advanced features like multi-step workflows and conditional logic.
No. The entire BigML and Apify integration is built through a visual, point-and-click interface. Code blocks are available if you want them, but they are never required.
