Use Gluedly with LlamaIndex

Gluedly turns target pages into structured records first, so LlamaIndex ingests the text you want rather than whole DOM trees.

Why teams use this integration

• Chunk cleaner content with less boilerplate and fewer navigation artifacts.
• Attach page metadata consistently for filtering and traceability.
• Re-index faster because source data is already normalized.

Recommended setup

1. Map the fields you need in Gluedly and verify the structured output.
2. Pull the latest rows from the Gluedly API.
3. Create LlamaIndex documents using Markdown or key text fields.
4. Index documents on every webhook event or scheduled sync.

Example code

Use the latest structured data from Gluedly as the input layer for your AI stack.

# pip install llama-index-readers-gluedly
from llama_index_readers_gluedly import GluedlyReader

reader = GluedlyReader(
    api_key="YOUR_WORKSPACE_KEY",
    base_url="https://gluedly.com/api/v1",
)
documents = reader.load_data(page_id=123)

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