STEP 1
Connect Apify and Databricks
Save credentials in WEXTL once. We store them encrypted and reuse the authorization across every workflow [3]. No coding or API skills required.
Apify and Databricks Integration
Keep Apify and Databricks in sync by integrating their events and actions. When developer tools events happen in Apify, update the Databricks automatically - without any line of code in visual workflow builder.
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Learn about Apify and Databricks
Detailed info you need to know about Apify and Databricks integrations in WEXTL. Explore which modules apps support and how you connect them.
Apify
Run Apify Actors and tasks, manage datasets and stores, and watch for Actor run completion events. [5]
Databricks
Run Databricks jobs, clusters, SQL, files, Unity Catalog, and model serving from a workspace. [6]
How to connect Apify to Databricks
Set up your Apify and Databricks integration in 3 simple steps [2] — no coding required. Up to 10 minutes setup.
STEP 2
Build a workflow
Paste selected Apify and Databricks nodes onto the canvas [4], or describe what you want and WEXTL wires the flow together with AI Builder.
STEP 3
Map your data
Choose which fields need to sync between Apify and Databricks. Use filters or leverage a JS custom code step in between — everything is on the canvas.
How does the integration between Apify and Databricks work in WEXTL?
WEXTL exposes actions and triggers for Apify and Databricks that help you connect apps and automate repetitive tasks [1]. A trigger is an event that happens, an action — a step that performs when the event has occurred.
Apify triggersDatabricks actions
Apify modules
- Add Request to QueueCreates request to queue.
- Batch Add RequestsPerforms batch add requests.
- Build ActorBuilds actor.
- Charge Events in RunCharges events in run.
- Create ActorCreates actor.
- Create DatasetCreates dataset.
- Create Environment VariableCreates environment variable.
- Create Key-Value StoreCreates key-value store.
- Create Request QueueCreates request queue.
- Create ScheduleCreates schedule.
- Create TaskCreates task.
- Create VersionCreates version.
- Decode and Verify DataRetrieves decode and verify data.
- Delete ActorDeletes actor.
- Delete Build (Abort)Aborts build.
- Delete Build (Abort, Cross-Actor)Aborts build (cross-actor).
- Delete DatasetDeletes dataset.
- Delete Environment VariableDeletes environment variable.
- Delete Key-Value StoreDeletes key-value store.
- Delete RecordDeletes record.
- Delete RequestDeletes request.
- Delete Request QueueDeletes request queue.
- Delete Run (Abort)Aborts an Actor run (DELETE semantics).
- Delete Run (Abort, Cross-Actor)Aborts run (cross-actor).
- Delete ScheduleDeletes schedule.
- Delete TaskDeletes task.
- Delete VersionDeletes version.
- Delete WebhookDeletes webhook.
- Download Records (Batch Export)Retrieves download records (batch export).
- Encode and Sign DataEncodes and sign data.
- Get ActorReturns actor.
- Get Browser InfoReturns browser info.
- Get Browser Info (POST Variant)Returns browser info (post variant).
- Get BuildReturns build.
- Get Build (Cross-Actor)Returns build (cross-actor).
- Get Build LogReturns build log.
- Get Build Log (Cross-Actor)Returns build log (cross-actor).
- Get DatasetReturns dataset.
- Get Dataset ItemsReturns dataset items.
- Get Dataset StatisticsReturns dataset statistics.
- Get Default BuildReturns default build.
- Get Environment VariableReturns environment variable.
- Get Environment VariablesReturns environment variables.
- Get Key-Value StoreReturns key-value store.
- Get Last Task RunReturns last task run.
- Get List of ActorsReturns list of actors.
- Get List of BuildsReturns list of builds.
- Get List of DatasetsReturns list of datasets.
- Get List of KeysReturns list of keys.
- Get List of Key-Value StoresReturns list of key-value stores.
Databricks modules
- Cancel All RunsCancels all runs of a job.
- Cancel RunCancels a job run.
- Cancel SQL StatementCancels a SQL statement.
- Change Cluster OwnerChanges the owner of a cluster.
- Create CatalogCreates a catalog.
- Create ClusterCreates a new cluster.
- Create Conversation MessageSends a message in a Genie conversation.
- Create DirectoryCreates a volume directory.
- Create FunctionCreates a function.
- Create JobCreates a new job.
- Create RepoCreates a new repo.
- Create SchemaCreates a schema.
- Create Secret ScopeCreates a secret scope.
- Create Serving EndpointCreates a serving endpoint.
- Create SQL WarehouseCreates a SQL warehouse.
- Create Vector Search IndexCreates a vector search index.
- Create VolumeCreates a volume.
- Create Workspace DirectoryCreates a workspace directory.
- Delete CatalogDeletes a catalog.
- Delete Cluster PermanentlyPermanently deletes a cluster.
- Delete DirectoryDeletes an empty volume directory.
- Delete FileDeletes a file from a Unity Catalog volume.
- Delete FunctionDeletes a function.
- Delete JobDeletes a job.
- Delete RepoDeletes a repo.
- Delete RunDeletes a job run.
- Delete SchemaDeletes a schema.
- Delete SecretDeletes a secret.
- Delete Secret ACLDeletes a secret ACL.
- Delete Secret ScopeDeletes a secret scope.
- Delete Serving EndpointDeletes a serving endpoint.
- Delete SQL WarehouseDeletes a SQL warehouse.
- Delete VolumeDeletes a volume.
- Delete Workspace ObjectDeletes a workspace object.
- Download FileDownloads a file from a Unity Catalog volume.
- Edit ClusterEdits an existing cluster.
- Edit SQL WarehouseEdits a SQL warehouse.
- Execute Message SQL QueryExecutes the SQL query on a Genie message attachment.
- Execute SQL StatementExecutes a SQL statement on a warehouse.
- Export RunExports a job run.
- Export Workspace ObjectExports a workspace object.
- Get CatalogReturns a catalog.
- Get ClusterReturns a single cluster.
- Get Conversation MessageReturns a Genie conversation message.
- Get File MetadataReturns metadata for a volume file.
- Get FunctionReturns a function.
- Get Genie SpaceReturns a Genie space.
- Get JobReturns a single job.
- Get Job RunReturns a single job run.
- Get Job Run OutputReturns output for a job run.
Explore alternative integrations
There are other apps [9] supported by WEXTL that can be paired with Apify and Databricks integrations. Pick any from the list below if the current combination isn't the one you need.
Frequently asked questions
Common questions about connecting Apify and Databricks.
Connect your Apify and Databricks accounts once, pick a trigger in one app and an action in the other, then map the fields so data flows automatically between them. [3]
Example: when Apify's "Watch Run Aborted" fires, WEXTL can "Cancel All Runs" in Databricks. Apify has 4 triggers (including Watch Run Aborted, Watch Run Failed, and Watch Run Succeeded); Databricks has 113 actions (including Cancel All Runs, Cancel Run, and Cancel SQL Statement). Add filters and transforms between steps when you need them. [1]
Yes — the integration works in both directions. Use each app's triggers to start a workflow and the other app's actions to update it. [2]
No. Apify-to-Databricks automations are built visually on the canvas. You can optionally add custom JavaScript with Functions when you need advanced logic. [4]
Yes. Trigger-based automations start the moment Apify (or Databricks) fires a new event — webhook-backed apps run within seconds, and polling-only apps re-check on a schedule you control. [7]
A first automation typically takes 5–10 minutes: connect each app's credential once, drop a trigger + action onto the canvas, map the fields, and turn the workflow on.
You can build your Apify + Databricks automation on a 3-day trial with every feature unlocked. Cancel anytime. For your protection, a small deposit is charged to your card when your trial starts. It counts toward your first payment and is non-refundable. [8]
References
List of sources used to gather information about the Apify and Databricks integration.
- Apify and Databricks integration source code, module specs and credentials implementation.
- Our Apify and Databricks integration documentation, structured input and output parameters, scopes, and authentication methods.
- Official vendor API documentation for Apify and Databricks — used to verify field meanings, authentication flows, and anything our own specs don't fully capture.
- WEXTL® visual workflow builder, anonymized data from our technical support team.
- Apify integration information
- Databricks integration information
- WEXTL® Scheduling
- WEXTL® Pricing and Trial
- WEXTL® Apps Library