STEP 1
Select Jina AI in workflow
Pick Jina AI app in the workflow builder [4] - just one click to select the app.
Jina AI Integration
Create embeddings and read webpages into LLM-friendly content with Jina AI. Use Jina AI inside visual AI workflows to move from generated results to real actions. Combine Download Batch Output with Get Batch Job or Get Model to keep repetitive work moving automatically.
3-day trialCancel anytimeUp to 10 minutes quick set up
- GDPR
- Data Encryption
- 2FA
- Local Data Region
Supported triggers and actions for Jina AI integration
Triggers can detect changes in Jina AI and run actions that can create, search or modify data inside Jina AI automatically [3] — exactly how you set them.
- Download Batch ErrorsDownloads the error JSONL file of a batch embeddings job.
- Download Batch OutputDownloads the output JSONL file of a completed batch embeddings job.
- Get Batch JobRetrieves the status and details of a batch embeddings job.
- Get ModelRetrieves details about a specific Jina AI embedding model.
- List Batch JobsRetrieves a list of batch embeddings jobs.
- List ModelsRetrieves the list of available Jina AI embedding models.
- Read URLFetches a URL and returns its content as LLM-friendly text or markdown using the Jina Reader.
- Cancel Batch JobCancels a pending or in-progress batch embeddings job.
- Create EmbeddingsCreates embeddings for the given input using the specified model.
- Make an API CallPerforms an arbitrary authorized API call against the Jina AI API.
- Submit Batch EmbeddingsSubmits an asynchronous batch embeddings job.
How to integrate Jina AI in automation workflow?
3 simple steps to make your Jina AI connected with other apps in automation workflows on WEXTL. Up to 10 minutes integration set up.
STEP 2
Connect Jina AI
When prompted, authorize access to Jina AI in WEXTL once. Jina AI credentials are encrypted and never shared with WEXTL. Authorization will be reused in any future API calls [3].
WEXTL wants to integrate with your Jina AI account. Approve?
STEP 3
Build a workflow
Build your workflow with Jina AI yourself or with WEXTL® AI Builder. Connect Jina AI to any available integrations [5], or use HTTP node to go beyond them.
Jina AI
How Jina AI connects and integrates with WEXTL
Save and approve your credentials once — WEXTL® stores authorization information encrypted and reuses the authentication whenever Jina AI app is called in workflows. That allows your ai automations to run without your attention, per defined schedule [7]. Explore documentation [6] for a detailed list of fields that Jina AI supports.
The following table illustrates what fields Jina AI integration require during authorization flow inside our workflow builder [4].
Connect Jina AI
API Key*Text
••••••••
Reader Region*Text
••••••••
Demonstration of Jina AI connection step inside WEXTL Workflow Builder [4].
| Field | Type | Help |
|---|---|---|
API KeyRequired | password | API key from jina.ai (jina.ai/?sui=apikey). Sent as a Bearer token on every request. |
Reader RegionRequired | select | Reader host used by the Read URL module. Global: https://r.jina.ai — EU: https://eu.r.jina.ai. Does not affect embeddings or batch endpoints. |
Connect Jina AI to popular apps on WEXTL
Enter a name of the other app you want to sync with Jina AI below. Click on selected app to explore integration options with Jina AI. If the app you search for is not available in WEXTL yet, you can use HTTP node [10] instead to integrate it directly.
Example automation with Jina AI integration
Select Download Batch Errors action from Jina AI - this will be a starting point in your automation. Whenever event happens in Jina AI, workflow will start [7] from Download Batch Errors node.
Search for Cancel Batch Job, connect it as the next step of integration sequence. You can use filters between Download Batch Errors and Cancel Batch Job, so only important data pass from Download Batch Errors to the next step. WEXTL gives you full control over the process of Jina AI automation. All parts of workflow are visible on the canvas [4].
Jina AI on WEXTL has 11 modules for combining ai automations. Explore Jina AI documentation for more.
Jina AI
Download Batch Errors
AWS Rekognition
Performs action
OR
AWS Rekognition
Triggers
Jina AI
Cancel Batch Job
Demonstration of how visual Jina AI automation [6] looks in WEXTL.
Frequently asked questions
Common questions about automating Jina AI in your workflows.
Jina AI has no triggers, but it provides 11 actions including "Download Batch Errors", "Download Batch Output", and "Get Batch Job". Pair them with triggers from other apps to automate Jina AI tasks.
Integration has 11 actions, including "Download Batch Errors", "Download Batch Output", and "Get Batch Job", and more. Refer to our Jina AI Documentation for detailed inputs and outputs.
No. Most automations are built visually on the canvas by picking triggers, actions, and mapping fields. You can add custom JavaScript with Functions when advanced logic is needed — but our customers do that in rare cases [4].
Yes. Connections are authenticated per account, credentials are encrypted at rest, and you can enforce approvals and team-level access controls on any automation.
The Jina AI integration on WEXTL runs directly on its vendor public API — every field name, authentication method, and rate limit is controlled by Jina AI official API and covered in documentation [3]. WEXTL handles the request signing and pagination for you.
Absolutely. Where Jina AI provides native webhooks, you can use instant triggers to eliminate polling delay. For custom webhooks, WEXTL offers Custom Webhook node, so you can start automation whenever Jina AI or any other service sends event to webhook URL.
WEXTL is an AI-first visual canvas. The platform allows you to describe automation in plain text — and AI will wire nodes for Jina AI inside the workflow builder [4]. You can also use built-in workflow nodes (AI Agent, Human in the Loop, Condition, Aggregate Results) in pair with Jina AI modules to craft complex integration flows with branches, filtering, and conditional logic. There are absolutely no limits of what you can build.
References
List of sources used to gather information about the Jina AI integration.
- Jina AI integration source code, module specs and credentials implementation.
- Internal Jina AI integration documentation, structured input and output parameters, scopes, and authentication methods.
- Official Jina AI vendor API documentation — 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.
- WEXTL® Apps Library
- WEXTL® Jina AI App Documentation
- WEXTL® Workflow Scheduler
- WEXTL® HTTP node documentation