'Implement SerpApi async search callbacks and scheduled search monitoring.
Scanned 9/2/2026
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---
name: serpapi-webhooks-events
description: 'Implement SerpApi async search callbacks and scheduled search monitoring.
Use when setting up search monitoring, SERP tracking pipelines,
or async search result retrieval.
Trigger: "serpapi webhooks", "serpapi monitoring", "serpapi scheduled search", "serpapi
async".
'
allowed-tools: Read, Write, Edit, Bash(curl:*)
version: 1.4.0
license: MIT
author: Jeremy Longshore <jeremy@intentsolutions.io>
tags:
- saas
- search
- seo
- serpapi
compatibility: Designed for Claude Code
---
# SerpApi Webhooks & Events
## Overview
SerpApi does not have traditional webhooks, but supports async searches and the Searches Archive API. Build SERP monitoring by combining scheduled searches with change detection. Common use case: track keyword rankings over time.
## Instructions
### Step 1: Async Search with Polling
```python
import serpapi, os, time
client = serpapi.Client(api_key=os.environ["SERPAPI_API_KEY"])
# Submit async search (returns immediately)
result = client.search(engine="google", q="your keyword", async_search=True)
search_id = result["search_metadata"]["id"]
print(f"Submitted: {search_id}")
# Poll for completion
while True:
archived = client.search(engine="google", search_id=search_id)
status = archived["search_metadata"]["status"]
if status == "Success":
break
elif status == "Error":
raise Exception(f"Search failed: {archived.get('error')}")
time.sleep(2)
print(f"Results: {len(archived.get('organic_results', []))}")
```
### Step 2: SERP Monitoring Pipeline
```python
import json, hashlib
from datetime import datetime
class SerpMonitor:
def __init__(self, client, db):
self.client = client
self.db = db
def track_keyword(self, keyword: str, domain: str):
"""Track a domain's ranking position for a keyword."""
result = self.client.search(engine="google", q=keyword, num=100)
organic = result.get("organic_results", [])
position = None
for r in organic:
if domain in r.get("link", ""):
position = r["position"]
break
self.db.insert({
"keyword": keyword,
"domain": domain,
"position": position, # None if not in top 100
"total_results": result.get("search_information", {}).get("total_results"),
"checked_at": datetime.utcnow().isoformat(),
"search_id": result["search_metadata"]["id"],
})
return position
def detect_changes(self, keyword: str, domain: str):
"""Compare current vs previous ranking."""
current = self.track_keyword(keyword, domain)
previous = self.db.get_previous_position(keyword, domain)
if previous and current:
change = previous - current # Positive = improved
if abs(change) >= 3:
self.notify(f"Ranking change for '{keyword}': {previous} -> {current} ({'+' if change > 0 else ''}{change})")
```
### Step 3: Scheduled Monitoring (Cron)
```typescript
// Run daily keyword tracking
import cron from 'node-cron';
import { getJson } from 'serpapi';
const keywords = ['react framework', 'next.js tutorial', 'typescript guide'];
const targetDomain = 'yoursite.com';
cron.schedule('0 8 * * *', async () => { // Daily at 8 AM
for (const keyword of keywords) {
const result = await getJson({
engine: 'google', q: keyword, num: 100,
api_key: process.env.SERPAPI_API_KEY,
});
const position = result.organic_results?.findIndex(
(r: any) => r.link?.includes(targetDomain)
);
console.log(`${keyword}: Position ${position >= 0 ? position + 1 : 'Not found'}`);
// Save to database, send alerts on changes
}
});
```
## Error Handling
| Issue | Cause | Solution |
|-------|-------|----------|
| Async search never completes | Server issue | Timeout after 60s, retry |
| Position tracking uses many credits | 100 results per search | Run daily not hourly |
| Ranking fluctuates | Normal SERP volatility | Track 7-day moving average |
## Resources
- [Async Search](https://serpapi.com/search-api#api-parameters-serpapi-parameters-async)
- [Searches Archive](https://serpapi.com/search-archive-api)
## Next Steps
For performance optimization, see `serpapi-performance-tuning`.
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