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- Jina Reader (URL → LLM-ready)
ActionJina AIUpdated May 2026
How do I extract clean text from a URL with Jina?
Short answer: Drop the "Jina AI → Jina Reader (URL → LLM-ready)" action anywhere in your workflow, map the inputs from upstream nodes, and publish.
Inputs
The fields this action accepts.
Every field can be mapped from an upstream trigger, AI step, table row, or hard-coded literal.
| Field | Type | Required | Description |
|---|---|---|---|
URL url | string | Required | A fully qualified URL (https://...) for the url. |
Sample request
{"url": "https://example.com/article"}
Returns
{"code": 200,"data": {"url": "https://example.com","title": "Example","content": "# Example\n..."},"status": 20000}
Use these fields in downstream nodes for routing, logging, or error handling.
Triggered by
Apps that pair well as the trigger for Jina Reader (URL → LLM-ready).
Any of these apps can fire this action as part of a workflow.
FAQ
Questions about Jina Reader (URL → LLM-ready).
What does the Jina Reader (URL → LLM-ready) action do in Jina AI?
Fetches any URL and returns cleaned-text Markdown ready to drop into an LLM prompt. Handles JS-rendered pages, strips ads/nav, preserves structure. The distinctive Jina feature.
What inputs does Jina Reader (URL → LLM-ready) require?
Required: URL. Every input accepts a static value or a variable from any upstream node in your workflow.
Can I use dynamic inputs from earlier workflow nodes?
Yes. Any field on this action can pull values from upstream nodes, whether that's a form response, a trigger payload, an AI output, or a lookup result.
What happens if Jina AI returns an error?
The workflow pauses on the failed node, the error message is captured in the run log, and you can retry the run with one click. Auto-retry policies are configurable per workflow with exponential backoff up to 5 attempts.
Does Jina Reader (URL → LLM-ready) support batch operations?
Yes. Run Jina Reader (URL → LLM-ready) inside a Loop node to process arrays. Tiny Command handles Jina AI's rate limits automatically so you don't have to throttle manually.
More actions
Other Jina AI actions.
Action
Jina Embeddings
Generates embeddings using jina-embeddings-v3 — 1024d multilingual embeddings, strong on the MTEB leaderboard. For RAG vector generation in workflows that need solid retrieval accuracy across many languages.
ActionJina Rerank
Second-stage reranker for RAG — takes a query and candidate documents, returns them re-scored by relevance using the cross-encoder. Significantly improves RAG answer quality vs single-stage retrieval.
Send jina reader (url → llm-ready) from your workflows.
Triggered by anything in the catalog. Free tier available. No credit card.