Agent skill
hubspot-performance-tuning
Optimize HubSpot API performance with caching, batching, and search optimization. Use when experiencing slow API responses, implementing caching strategies, or optimizing request throughput for HubSpot CRM operations. Trigger with phrases like "hubspot performance", "optimize hubspot", "hubspot slow", "hubspot caching", "hubspot batch", "hubspot latency".
Install this agent skill to your Project
npx add-skill https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/main/plugins/saas-packs/hubspot-pack/skills/hubspot-performance-tuning
SKILL.md
HubSpot Performance Tuning
Overview
Optimize HubSpot API performance through batch operations, caching, search optimization, and request minimization.
Prerequisites
@hubspot/api-clientinstalled- Understanding of your access patterns (read-heavy vs write-heavy)
- Optional: Redis for distributed caching
Instructions
Step 1: Use Batch APIs Everywhere
The single biggest performance win: batch operations reduce API calls by up to 100x.
import * as hubspot from '@hubspot/api-client';
const client = new hubspot.Client({
accessToken: process.env.HUBSPOT_ACCESS_TOKEN!,
numberOfApiCallRetries: 3,
});
// BAD: 100 API calls for 100 contacts
async function getContactsSlow(ids: string[]) {
return Promise.all(ids.map(id =>
client.crm.contacts.basicApi.getById(id, ['email', 'firstname'])
));
}
// GOOD: 1 API call for 100 contacts
async function getContactsFast(ids: string[], properties: string[]) {
// POST /crm/v3/objects/contacts/batch/read
const result = await client.crm.contacts.batchApi.read({
inputs: ids.map(id => ({ id })),
properties,
propertiesWithHistory: [],
});
return result.results;
}
// For more than 100 records, chunk:
async function getContactsChunked(ids: string[], properties: string[]) {
const results = [];
for (let i = 0; i < ids.length; i += 100) {
const chunk = ids.slice(i, i + 100);
const batch = await getContactsFast(chunk, properties);
results.push(...batch);
}
return results;
}
Step 2: Request Only Needed Properties
// BAD: Returns ALL default properties (slow, large payload)
const contact = await client.crm.contacts.basicApi.getById(id);
// GOOD: Only request what you need (fast, small payload)
const contact = await client.crm.contacts.basicApi.getById(
id,
['email', 'firstname', 'lastname', 'lifecyclestage'] // specific properties
);
Step 3: Cache Frequently Accessed Data
import { LRUCache } from 'lru-cache';
const contactCache = new LRUCache<string, any>({
max: 5000, // max entries
ttl: 5 * 60 * 1000, // 5 minute TTL
updateAgeOnGet: true,
});
async function getCachedContact(id: string, properties: string[]) {
const cacheKey = `contact:${id}`;
const cached = contactCache.get(cacheKey);
if (cached) return cached;
const contact = await client.crm.contacts.basicApi.getById(id, properties);
contactCache.set(cacheKey, contact);
return contact;
}
// Invalidate on webhook events
function invalidateContactCache(contactId: string): void {
contactCache.delete(`contact:${contactId}`);
}
Step 4: Optimize Search Queries
// BAD: Overly broad search, returns too much data
const bad = await client.crm.contacts.searchApi.doSearch({
filterGroups: [], // no filters = scan entire DB
properties: [], // returns default properties
limit: 100,
after: 0,
sorts: [],
});
// GOOD: Specific filters, minimal properties, sorted
const good = await client.crm.contacts.searchApi.doSearch({
filterGroups: [{
filters: [
{ propertyName: 'lifecyclestage', operator: 'EQ', value: 'customer' },
{ propertyName: 'createdate', operator: 'GTE', value: String(Date.now() - 86400000) },
],
}],
properties: ['email', 'firstname'], // only what you need
limit: 50,
after: 0,
sorts: [{ propertyName: 'createdate', direction: 'DESCENDING' }],
});
// Search limits: max 5 filterGroups, 6 filters per group, 18 filters total
// Search returns max 10,000 results total (pagination limit)
Step 5: Pipeline and Property Caching
Pipeline stages and custom properties rarely change -- cache them aggressively:
let pipelineCache: Map<string, any> | null = null;
let pipelineCacheExpiry = 0;
async function getCachedPipelines(objectType: 'deals' | 'tickets') {
if (pipelineCache && Date.now() < pipelineCacheExpiry) {
return pipelineCache.get(objectType);
}
const pipelines = await client.crm.pipelines.pipelinesApi.getAll(objectType);
if (!pipelineCache) pipelineCache = new Map();
pipelineCache.set(objectType, pipelines.results);
pipelineCacheExpiry = Date.now() + 3600000; // 1 hour cache
return pipelines.results;
}
// Same pattern for properties
let propertyCache: Map<string, any> | null = null;
async function getCachedProperties(objectType: string) {
if (propertyCache?.has(objectType)) {
return propertyCache.get(objectType);
}
const props = await client.crm.properties.coreApi.getAll(objectType);
if (!propertyCache) propertyCache = new Map();
propertyCache.set(objectType, props.results);
return props.results;
}
Step 6: Pagination with Async Generators
// Memory-efficient streaming for large exports
async function* streamAllContacts(properties: string[]) {
let after: string | undefined;
do {
const page = await client.crm.contacts.basicApi.getPage(
100, // max page size
after,
properties
);
yield* page.results;
after = page.paging?.next?.after;
} while (after);
}
// Process millions of records without running out of memory
let count = 0;
for await (const contact of streamAllContacts(['email', 'firstname'])) {
await processContact(contact);
count++;
if (count % 1000 === 0) console.log(`Processed ${count} contacts`);
}
Output
- Batch operations reducing API calls by 100x
- Property-specific requests reducing payload size
- LRU caching for frequently accessed records
- Optimized search queries with proper filters
- Streaming pagination for large datasets
Error Handling
| Issue | Cause | Solution |
|---|---|---|
Batch returns 207 Multi-Status |
Some records failed | Check individual status in response |
| Cache stale data | TTL too long | Invalidate on webhook events |
| Search returns max 10,000 | HubSpot search limit | Use getPage pagination instead |
| Memory pressure | Caching too much | Set max entries on LRU cache |
Resources
Next Steps
For cost optimization, see hubspot-cost-tuning.
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