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How to integrate YouTube Watcher with OpenClaw

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How to integrate YouTube Watcher with OpenClaw

A direct answer: Build a small, explicit integration that does three things—authenticates to Google (YouTube Data API) using either an API key for public-channel polling or OAuth2 for private/channel-scoped access, receives new-video notifications by either polling or a WebSub (PubSubHubbub) push endpoint you host, and then forwards validated events into your OpenClaw skill by invoking the skill’s runtime invocation API (the exact invocation URL and auth mechanism are provided by ClawHub/OpenClaw documentation). Keep state (last-seen video id, backoff state, refresh tokens) outside the agent runtime (database or secret store), validate webhooks, handle rate limits and retries, and debug by checking HTTP responses, logs, credential scopes, and that the skill invocation call succeeds.

 

High-level architecture

 

  • YouTube side: get API credentials (API key for public data or OAuth2 client for user-specific/publish data). Decide push (WebSub) or poll.
  • Receiver/Controller: a small external web service (webhook endpoint + scheduler) you host. This validates notifications, polls if needed, stores small state like lastSeenVideoId in a DB or cache, and calls your OpenClaw skill.
  • OpenClaw side: install/configure the skill via ClawHub and wire up the skill’s invocation method. The external service calls the skill’s invocation endpoint with the required auth (API key, JWT, or other token per OpenClaw docs).

 

Decisions you must make

 

  • Push vs Poll: Push (WebSub) is lower-latency and cheaper but requires a public HTTPS endpoint and correct verification handling. Polling is simpler to deploy behind no public endpoint but costs quota and needs careful backoff.
  • Authentication: Public data (channel uploads) can use an API key. If you need private channels or user-level scopes, use OAuth2 and store refresh tokens securely off the agent runtime.
  • State & Reliability: Keep lastSeenVideoId, retry counters, and refresh tokens in a durable store (RDS, DynamoDB, Postgres, Redis) outside the agent runtime.

 

Concrete components and their responsibilities

 

  • Google project and credentials: Create a Google Cloud project, enable YouTube Data API, create API key and/or OAuth2 client credentials. Configure redirect URLs and scopes according to OpenClaw/ClawHub OAuth documentation.
  • Webhook receiver (if using WebSub): Verify subscription requests (hub.challenge) and validate incoming posts. Accept or reject based on verify\_token or signature if available.
  • Poller (if using polling): Scheduled job (cron or cloud scheduler) that calls the YouTube Data API's search.list or activities.list endpoints, filters by channelId and order=date, compares against lastSeenVideoId and sends new video events to the skill.
  • Event forwarding to OpenClaw: The receiver/poller sends a compact JSON payload to the skill invocation URL. Authenticate the call using the mechanism ClawHub/OpenClaw requires (API key, signed JWT or other).

 

Example: polling implementation (Node.js using fetch)

 

// Usage: set env: YT_API_KEY, CHANNEL_ID, SKILL_INVOKE_URL, SKILL_API_KEY, LAST_SEEN_KEY (DB key)
// This example uses an in-memory store for simplicity; in production, use a DB.
import fetch from "node-fetch";

const YT_API_KEY = process.env.YT_API_KEY;
const CHANNEL_ID = process.env.CHANNEL_ID;
const SKILL_INVOKE_URL = process.env.SKILL_INVOKE_URL;
const SKILL_API_KEY = process.env.SKILL_API_KEY;

let lastSeenVideoId = null; // <b>//</b> persist this externally in production

async function fetchLatestVideos() {
  const url = `https://www.googleapis.com/youtube/v3/search?part=snippet&channelId=${encodeURIComponent(CHANNEL_ID)}&order=date&type=video&maxResults=5&key=${encodeURIComponent(YT_API_KEY)}`;
  const res = await fetch(url);
  if (!res.ok) throw new Error(`YouTube API error ${res.status}`);
  const body = await res.json();
  return body.items || [];
}

async function forwardToSkill(event) {
  const res = await fetch(SKILL_INVOKE_URL, {
    method: "POST",
    headers: {
      "Content-Type": "application/json",
      "Authorization": `Bearer ${SKILL_API_KEY}` // <b>//</b> replace with the auth method OpenClaw docs specify
    },
    body: JSON.stringify(event)
  });
  if (!res.ok) {
    const text = await res.text();
    throw new Error(`Skill invoke failed ${res.status}: ${text}`);
  }
  return res.status;
}

async function pollOnce() {
  const videos = await fetchLatestVideos();
  // items are in descending publishedAt order
  for (const item of videos.reverse()) {
    const videoId = item.id.videoId;
    if (!videoId) continue;
    if (lastSeenVideoId === videoId) continue;
    // build a compact event for OpenClaw skill
    const evt = {
      type: "youtube.new_video",
      channelId: CHANNEL_ID,
      videoId,
      title: item.snippet.title,
      publishedAt: item.snippet.publishedAt,
      url: `https://www.youtube.com/watch?v=${videoId}`
    };
    await forwardToSkill(evt);
    lastSeenVideoId = videoId; // <b>//</b> persist after successful forward
  }
}

// <b>//</b> Example single-run; run this on a schedule (cron, cloud scheduler)
pollOnce().catch(err => {
  console.error("Poll error:", err);
  process.exit(1);
});

 

Example: WebSub (PubSubHubbub) receiver and forwarding (Express)

 

import express from "express";
import bodyParser from "body-parser";
import fetch from "node-fetch";

const app = express();
app.use(bodyParser.text({ type: "*/*" })); // WebSub posts raw XML

const SKILL_INVOKE_URL = process.env.SKILL_INVOKE_URL;
const SKILL_API_KEY = process.env.SKILL_API_KEY;
const VERIFY_TOKEN = process.env.WEBSUB_VERIFY_TOKEN; // <b>//</b> your secret for subscribe validation

app.get("/websub/callback", (req, res) => {
  const mode = req.query["hub.mode"];
  const challenge = req.query["hub.challenge"];
  const token = req.query["hub.verify_token"];
  if (mode === "subscribe" && token === VERIFY_TOKEN) {
    res.status(200).send(challenge);
  } else {
    res.status(403).send("Forbidden");
  }
});

app.post("/websub/callback", async (req, res) => {
  const rawBody = req.body; // XML notification from YouTube
  // <b>//</b> parse the XML and extract video id and publishedAt
  // For brevity, use a simple extraction — in production use a proper XML parser (xml2js, fast-xml-parser)
  const match = rawBody.match(/<yt:videoId>([^<]+)<\/yt:videoId>/);
  if (!match) {
    res.status(400).send("No video id");
    return;
  }
  const videoId = match[1];
  const evt = {
    type: "youtube.new_video",
    videoId,
    raw: rawBody
  };
  try {
    await fetch(SKILL_INVOKE_URL, {
      method: "POST",
      headers: {
        "Content-Type": "application/json",
        "Authorization": `Bearer ${SKILL_API_KEY}`
      },
      body: JSON.stringify(evt)
    });
    res.status(200).send("OK");
  } catch (err) {
    console.error("forward error", err);
    res.status(502).send("Forward failed");
  }
});

app.listen(3000, () => console.log("WebSub receiver listening on 3000"));

 

Security and credentials

 

  • API keys vs OAuth: Use API keys only for public-read operations. For user-specific private channel data or actions, use OAuth2 and store refresh tokens in a secure secret store. Never embed secrets in the agent image or ephemeral runtime.
  • Webhook validation: Implement WebSub verification and optionally verify origin using IP ranges or signatures if available. Reject invalid verification requests.
  • Skill invocation auth: Use the secure auth mechanism documented for OpenClaw/ClawHub: API key, signed JWT, or the platform’s token. Rotate keys, and store them in environment variables or a secret manager.

 

Reliability, idempotency, and rate limits

 

  • Idempotency: Include a unique event id (videoId + publishedAt) when invoking the skill so the skill can ignore duplicates. Persist lastSeenVideoId in a DB to prevent re-processing.
  • Retries and backoff: Respect YouTube rate limits. Back off on 403/429 and exponential retry on network errors. For webhook forwards to OpenClaw, implement retry with a dead-letter queue if the skill endpoint is down.
  • Scaling: Keep stateless compute for processing, and use a database/queue for state. If you expect many channels, use a worker pool and a shared job queue (e.g., Cloud Tasks, SQS) to distribute polling or forward tasks.

 

Debugging checklist

 

  • Check the Google API response for errors (quotaExceeded, dailyLimitExceeded, insufficientPermissions) and confirm scopes if OAuth.
  • Inspect webhook subscription verification flow: Google will issue a GET to your callback with hub.challenge—ensure you respond with that value and correct status code.
  • Confirm the skill invocation succeeds: check HTTP status, body, and ClawHub/OpenClaw logs (per OpenClaw docs) to ensure the skill receives and processes the event.
  • Validate stored tokens and refresh them when expired. Log and alert on repeated refresh failures.

 

Operational notes and recommended minimal deployment

 

  • Run the webhook receiver or poller as a small, durable service (managed container, Cloud Run, ECS, or VM). The agent runtime itself should not be relied on for persistent webhooks.
  • Persist credentials and lastSeen state in a secret manager and database respectively.
  • Record structured logs (request id, videoId, timestamps) and expose basic metrics (events forwarded, errors, retries) for monitoring.

 

Mapping these steps to OpenClaw/ClawHub actions

 

  • Install/configure the YouTube Watcher skill through ClawHub per the platform’s installation flow.
  • Provide the skill with the event contract (the JSON shape you will send) and the invocation authentication details (API key or token) as required by ClawHub configuration screens or documentation.
  • Host the webhook receiver or poller externally and make it call the skill invocation endpoint provided by ClawHub/OpenClaw when new-video events are detected. Use the exact invocation URL/auth method documented by OpenClaw—do not assume any endpoint names; follow ClawHub docs for the runtime invocation API.

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Troubleshooting YouTube Watcher and OpenClaw Integration

1

How to register the YouTube Watcher as an OpenClaw watcher in claw-config.yaml?

Add a watcher entry under the watchers section of claw-config.yaml that references your installed YouTube watcher skill, provides required environment variables (like YOUTUBE_API_KEY and CHANNEL_ID), and configures the trigger (poll or webhook). Below is a practical example pattern — adjust exact keys to match your OpenClaw version and installed skill name.

 

Registering the YouTube Watcher

 

Typical requirements: supply secrets via env vars, choose trigger (poll/webhook), and enable the watcher.

  • Env: store API keys as environment variables or secret store.
  • Permissions: ensure the runtime can access network and secrets.
watchers:
  - id: youtube-watcher
    skill: youtube-watcher
    enabled: true
    trigger:
      type: poll
      interval_seconds: 300
    env:
      YOUTUBE_API_KEY: ${YOUTUBE_API_KEY}
      CHANNEL_ID: ${CHANNEL_ID}

2

Why does clawd refuse to load the YouTube Watcher plugin with "unsupported plugin API version" error?

 

Direct answer

 

The runtime rejects the YouTube Watcher plugin because the plugin declares a plugin API version that the OpenClaw agent runtime doesn’t support — a mismatch between the plugin’s expected SDK/manifest API and the installed runtime/ClawHub policy.

 

Why it happens and how to fix it

 
  • Cause: major-version incompatibility — runtime enforces exact or compatible plugin API versions.
  • Check the plugin manifest/metadata and the agent runtime/ClawHub supported API list.
  • Fix by rebuilding the plugin against the runtime SDK, updating the runtime/ClawHub, or changing the plugin manifest to a supported API (preserve major-version semantics).
  • Debug with runtime logs and ClawHub compatibility reports to see the rejected version and required range.

3

How to map YouTube Watcher event payloads to the OpenClaw event-sink schema to avoid parse errors?

 

Direct answer

 

Map YouTube watcher payloads into the OpenClaw event-sink schema by validating and normalizing fields, converting timestamps to ISO8601, providing a stable id, a clear event_type, and a top-level payload object. Reject or transform unknown fields to avoid parse errors.

 

How to map

 
  • Validate incoming JSON and required keys (videoId, channelId, publishedAt).
  • Normalize types: strings for ids, ISO timestamps.
  • Envelope event: {id,event_type,source,timestamp,payload}.
  • Strip large nested objects or move to external storage and include reference URL.

4

How to resolve OpenClaw rate-limit and quota errors when YouTube Watcher exceeds YouTube Data API limits?

Reduce polling, batch and cache results, and implement exponential backoff + jitter in the YouTube Watcher skill. Move state (last-checked timestamps) outside the agent runtime, monitor real YouTube quota in Google Cloud Console, and request quota increases or switch to webhook-like flows to avoid polling.

 

Immediate fixes

 
  • Throttle inside the skill (limit requests/sec).
  • Cache and dedupe using external store (DB) accessed by the agent.
  • Backoff + jitter on 429/403, log to ClawHub logs, expose metrics.
  • Ask Google for quota and reduce per-request parts/fields.

 

Example backoff

  ```js // minimal exponential backoff with jitter async function fetchYouTube(url, apiKey){ for(let i=0;i<6;i++){ const res = await fetch(url+`&key=${apiKey}`); if(res.status===200) return res.json(); if(res.status===429 || res.status===403){ const wait = Math.pow(2,i)*1000 + Math.random()*500; await new Promise(r=>setTimeout(r,wait)); continue; } throw new Error(await res.text()); } } ```
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