Integrations
Pipedream
Run Thunderbit from a Pipedream Code step — Node.js or Python, your call
Pipedream is the developer-friendly cousin of Zapier — every workflow is a real script you can edit. Use a Code step for full control or the HTTP / Webhook action for the no-code path.
Code step (Node.js)
import { defineComponent } from '@pipedream/core';
export default defineComponent({
props: {
thunderbit: { type: 'app', app: 'thunderbit' }, // or use an env var
url: { type: 'string' },
},
async run({ steps, $ }) {
const res = await fetch(
'https://openapi.thunderbit.com/openapi/v1/distill',
{
method: 'POST',
headers: {
Authorization: `Bearer ${process.env.THUNDERBIT_API_KEY}`,
'Content-Type': 'application/json',
},
body: JSON.stringify({ url: this.url, renderMode: 'basic' }),
},
);
const json = await res.json();
return json.data.markdown;
},
});Code step (Python)
import os, httpx
def handler(pd: "pipedream"):
res = httpx.post(
"https://openapi.thunderbit.com/openapi/v1/distill",
headers={"Authorization": f"Bearer {os.environ['THUNDERBIT_API_KEY']}"},
json={"url": pd.steps["trigger"]["event"]["url"], "renderMode": "basic"},
timeout=60.0,
)
return res.json()["data"]["markdown"]Batch with HTTP source
For /batch/distill, add an HTTP / Webhook source as the trigger of a second workflow, then point Thunderbit's callback.url at the source URL Pipedream gives you. The trigger fires when the batch finishes — your downstream steps see the full results array.
Tips
- Store the API key as a Pipedream Env Var (per-workspace or per-workflow), not in code
- Pipedream's free tier limits compute per step — keep the Markdown trim before downstream LLM calls