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Integrate Deep Scraper with OpenClaw by building a small external adapter service that holds the Deep Scraper credentials, exposes a stable HTTPS endpoint that OpenClaw (via ClawHub skill configuration) will invoke, and implements two paths: a synchronous path that proxies requests/responses for quick scrapes, and an asynchronous path that accepts job callbacks/webhooks from Deep Scraper and persists state externally (DB/queue) for later retrieval. Configure credentials as secure secrets in ClawHub, validate all incoming webhooks, keep state and retries outside the agent runtime, and debug by inspecting adapter logs, API responses, credential scopes, and webhook signatures.
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//<b>//</b> simple Node/Express adapter example
const express = require('express');
const fetch = require('node-fetch');
const app = express();
app.use(express.json());
app.post('/skill/run', async (req, res) => {
//<b>//</b> Validate and normalize input from OpenClaw invocation
const { url, options } = req.body;
if (!url) return res.status(400).json({ error: 'missing url' });
try {
//<b>//</b> Call Deep Scraper API (replace with actual endpoint)
const dsResp = await fetch(process.env.DEEPSCRAPER_API + '/scrape', {
method: 'POST',
headers: {
'Authorization': `Bearer ${process.env.DEEPSCRAPER_KEY}`,
'Content-Type': 'application/json'
},
body: JSON.stringify({ url, options })
});
const dsJson = await dsResp.json();
//<b>//</b> If Deep Scraper returns result immediately, forward it
if (dsResp.ok && dsJson.result) {
return res.status(200).json({ result: dsJson.result });
}
//<b>//</b> If Deep Scraper returns a job id for async processing, persist and return job handle
if (dsJson.jobId) {
//<b>//</b> Persist jobId and initial state in your DB/queue here
return res.status(202).json({ jobId: dsJson.jobId, status: 'pending' });
}
return res.status(502).json({ error: 'unexpected response from Deep Scraper', body: dsJson });
} catch (err) {
return res.status(500).json({ error: 'adapter error', detail: String(err) });
}
});
app.listen(process.env.PORT || 3000);
//<b>//</b> webhook verification example
const crypto = require('crypto');
app.post('/webhooks/deep-scraper', express.raw({ type: 'application/json' }), (req, res) => {
const raw = req.body; // Buffer
const signature = req.headers['x-deepscraper-signature']; // placeholder header name
const expected = crypto.createHmac('sha256', process.env.DEEPSCRAPER_WEBHOOK_SECRET).update(raw).digest('hex');
//<b>//</b> use timingSafeEqual to avoid timing attacks
if (!signature || !crypto.timingSafeEqual(Buffer.from(signature), Buffer.from(expected))) {
return res.status(401).end();
}
const payload = JSON.parse(raw.toString('utf8'));
//<b>//</b> persist payload.jobId and results in DB; notify any waiting OpenClaw flow if needed
res.status(200).end();
});
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1
Most often Deep Scraper gets a 401 because the token it sends is incorrect, expired, scoped improperly, or sent to the wrong endpoint/header. Verify you’re using a valid OpenClaw API token, placing it in the Authorization: Bearer <token> header, calling the correct API base URL, and that the token hasn’t been rotated or truncated in environment variables.
# <b>//</b> curl example
curl -H "Authorization: Bearer $OPENCLAW_TOKEN" https://api.openclaw.example.com/agents
// <b>//</b> node fetch example
fetch(url,{headers:{Authorization:`Bearer ${process.env.OPENCLAW_TOKEN}`}})
2
Make the Deep Scraper JSON match the OpenClaw ingestion schema exactly: include all required fields, use the correct JSON types, flatten or rename nested fields to the ingestion names, convert dates to ISO 8601, and remove unexpected keys. Validate against the OpenClaw schema and resend; 422 means the payload fails schema validation.
3
Implement an exponential-backoff retry in your Deep Scraper calls: detect HTTP 429, honor the Retry-After header when present, apply exponential backoff with jitter, cap retries and total wait, avoid retrying non-idempotent operations, and surface/log failures. Configure backoff params via environment variables so agents/skills can be tuned from ClawHub or deployment configs.
// node fetch example inside a skill
const fetch = require('node-fetch');
const BASE = +process.env.BACKOFF_BASE_MS || 500;
const FACTOR = +process.env.BACKOFF_FACTOR || 2;
const MAX = +process.env.BACKOFF_MAX || 5;
async function callScraper(url){
for(let i=0;i<MAX;i++){
const res = await fetch(url);
if(res.status!==429) return res;
const ra = res.headers.get('retry-after');
const serverWait = ra ? Number(ra)*1000 : 0;
const jitter = Math.random()*BASE;
const wait = Math.max(serverWait, BASE*Math.pow(FACTOR,i)) + jitter;
// // sleep helper
await new Promise(r=>setTimeout(r, wait));
}
throw new Error('Rate limited: max retries exceeded');
}
4
The error means the Deep Scraper connector and the OpenClaw server speak different API versions. Fix it by aligning the connector’s declared API version with the server’s supported version: either upgrade/downgrade the Deep Scraper connector or the OpenClaw server to a compatible release, then redeploy the connector/skill.
Practical steps: inspect the connector manifest and server release notes to find the declared/supported API versions, pick a compatible pair, rebuild or install the matching connector release via ClawHub, and restart the agent runtime so the updated skill is loaded. Check runtime logs and the connector’s startup API negotiation messages for confirmation.
This prompt helps an AI assistant understand your setup and guide you through the fix step by step, without assuming technical knowledge.
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