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apollo-webhooks-events

Build Apollo.io integrations that detect contact changes through periodic API checks or third-party automation platforms. Sync updates to a CRM, monitor email engagement, and create follow-up tasks, with guidance for preventing duplicate processing and missed records.

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Implement Apollo.io webhook and event-driven integrations. Use when receiving Apollo notifications, syncing data on changes, or building event-driven pipelines from Apollo activity. Trigger with phrases like "apollo webhooks", "apollo events", "apollo notifications", "apollo webhook handler", "apollo triggers".

集成工具Zapier

实测评分 未实测

查看安装方法

适用场景

  • Sync Apollo contact changes to a CRM
  • Automate actions when contact stages change
  • Monitor email replies, opens, and bounces
  • Create follow-up tasks from detected changes

包含的文件(2)

  • SKILL.md8.7 KB
  • references/implementation-guide.md11.3 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Apollo Webhooks & Events

Overview

Build event-driven integrations with Apollo.io. Apollo does not have a native webhook system like Stripe — instead, you build real-time sync by polling the API for changes or using third-party webhook platforms (Zapier, Pipedream, Make) that trigger on Apollo events. This skill covers both approaches plus the Contact Stages and Tasks APIs for workflow automation.

Prerequisites

  • Apollo account with master API key
  • Node.js 18+ with Express
  • For polling: a scheduler (cron, Cloud Scheduler, BullMQ)
  • For webhook platforms: Zapier/Pipedream/Make account

Instructions

Step 1: Poll for Contact Changes

Since Apollo lacks native webhooks, poll the Contacts Search API for recently updated records.

// src/sync/contact-poller.ts
import axios from 'axios';

const client = axios.create({
  baseURL: 'https://api.apollo.io/api/v1',
  headers: { 'Content-Type': 'application/json', 'x-api-key': process.env.APOLLO_API_KEY! },
});

interface SyncState {
  lastSyncAt: string;  // ISO timestamp
}

export async function pollContactChanges(state: SyncState) {
  const { data } = await client.post('/contacts/search', {
    sort_by_field: 'contact_updated_at',
    sort_ascending: false,
    per_page: 100,
  });

  const lastSync = new Date(state.lastSyncAt);
  const newChanges = data.contacts.filter(
    (c: any) => new Date(c.updated_at) > lastSync,
  );

  // A full page is not a complete incremental window. Paginate before moving
  // the watermark so newer changes cannot hide records still on later pages.
  if (data.contacts.length >= 100) {
    throw new Error('Incremental window reached one page; paginate before advancing sync state');
  }

  if (newChanges.length > 0) {
    console.log(`Found ${newChanges.length} contact changes since ${state.lastSyncAt}`);
    for (const contact of newChanges) {
      await handleContactChange(contact);
    }
    state.lastSyncAt = newChanges
      .map((c: any) => c.updated_at)
      .sort()
      .at(-1) ?? state.lastSyncAt;
  }

  return newChanges;
}

async function handleContactChange(contact: any) {
  console.log(`Contact updated: ${contact.id} — stage: ${contact.contact_stage_id}`);
  // Sync to your CRM, database, or notification system
}

Step 2: Track Contact Stage Changes

Apollo has a Contact Stages system. Use the List Contact Stages endpoint to get stage IDs, then filter contacts by stage.

// src/sync/stage-tracker.ts
export async function getContactStages() {
  const { data } = await client.get('/contact_stages');
  return data.contact_stages.map((s: any) => ({
    id: s.id,
    name: s.name,
    order: s.display_order,
  }));
}

// Find contacts that moved to a specific stage
export async function getContactsByStage(stageId: string) {
  const { data } = await client.post('/contacts/search', {
    contact_stage_ids: [stageId],
    sort_by_field: 'contact_updated_at',
    sort_ascending: false,
    per_page: 50,
  });
  return data.contacts;
}

// Update a contact's stage
export async function updateContactStage(contactId: string, stageId: string) {
  await client.put(`/contacts/${contactId}`, {
    contact_stage_id: stageId,
  });
}

Step 3: Monitor Sequence Engagement

Poll sequence data for replies, bounces, and engagement events.

// src/sync/sequence-monitor.ts
export async function checkSequenceEngagement(sequenceId: string) {
  const { data } = await client.post('/emailer_campaigns/search', {
    ids: [sequenceId],
    per_page: 1,
  });

  const seq = data.emailer_campaigns?.[0];
  if (!seq) return null;

  return {
    name: seq.name,
    active: seq.active,
    metrics: {
      scheduled: seq.unique_scheduled ?? 0,
      delivered: seq.unique_delivered ?? 0,
      opened: seq.unique_opened ?? 0,
      replied: seq.unique_replied ?? 0,
      bounced: seq.unique_bounced ?? 0,
      unsubscribed: seq.unique_unsubscribed ?? 0,
    },
    rates: {
      openRate: pct(seq.unique_opened, seq.unique_delivered),
      replyRate: pct(seq.unique_replied, seq.unique_delivered),
      bounceRate: pct(seq.unique_bounced, seq.unique_scheduled),
    },
  };
}

function pct(num?: number, denom?: number): string {
  if (!denom) return '0%';
  return `${(((num ?? 0) / denom) * 100).toFixed(1)}%`;
}

Step 4: Create Tasks for Follow-Up Actions

Use Apollo's Tasks API to create actionable follow-ups triggered by your polling logic.

// src/sync/task-creator.ts
export async function createFollowUpTask(params: {
  contactId: string;
  type: 'call' | 'action_item' | 'email';
  dueDate: string;
  note: string;
  assigneeId?: string;
}) {
  const { data } = await client.post('/tasks', {
    contact_id: params.contactId,
    type: params.type,
    due_date: params.dueDate,
    note: params.note,
    user_id: params.assigneeId,  // Apollo user ID to assign to
    priority: 'high',
    status: 'open',
  });

  return { taskId: data.task.id, type: data.task.type, dueDate: data.task.due_date };
}

// Example: auto-create call task when a sequence reply is detected
async function onSequenceReply(contactId: string, sequenceName: string) {
  await createFollowUpTask({
    contactId,
    type: 'call',
    dueDate: new Date(Date.now() + 24 * 60 * 60 * 1000).toISOString().split('T')[0],
    note: `Reply detected on sequence "${sequenceName}". Follow up immediately.`,
  });
}

Step 5: Set Up a Cron-Based Sync Service

// src/sync/scheduler.ts
import cron from 'node-cron';
import { pollContactChanges } from './contact-poller';
import { checkSequenceEngagement } from './sequence-monitor';

const syncState = { lastSyncAt: new Date(Date.now() - 60 * 60 * 1000).toISOString() };

// Poll every 5 minutes for contact changes
cron.schedule('*/5 * * * *', async () => {
  try {
    const changes = await pollContactChanges(syncState);
    console.log(`Sync complete: ${changes.length} changes`);
  } catch (err) {
    console.error('Contact sync failed:', err);
  }
});

// Check sequence engagement every 15 minutes
cron.schedule('*/15 * * * *', async () => {
  const activeSequenceIds = ['seq-1', 'seq-2'];  // from your config
  for (const id of activeSequenceIds) {
    const stats = await checkSequenceEngagement(id);
    if (stats && parseInt(stats.rates.replyRate) > 10) {
      console.log(`High reply rate on "${stats.name}": ${stats.rates.replyRate}`);
    }
  }
});

console.log('Apollo sync scheduler started');

Output

  • Contact change poller with timestamp-based incremental sync
  • Contact stage tracking and updates via the Stages API
  • Sequence engagement monitoring with reply/bounce/open rates
  • Task creation API for automated follow-ups
  • Cron-based scheduler for periodic sync

Examples

For a contact-stage automation, run the poller with a persisted watermark and an idempotency record keyed by Apollo contact ID plus update timestamp. Process one small staging window, record only IDs, stage IDs, counts, and redacted failure reasons, then prove that replaying the same window creates neither a duplicate CRM update nor a duplicate follow-up task. Paginate any full result window before advancing the watermark. If a page cannot be completed, the idempotency store is unavailable, or a downstream write has an unknown result, leave the watermark unchanged and route the batch to operator review instead of silently skipping records.

Error Handling

IssueResolution
Missed changes between pollsReduce poll interval or use sort_by_field: contact_updated_at
Rate limited during pollingAdd backoff, reduce per_page, increase poll interval
Duplicate task creationTrack processed contact IDs in a Set or database
Third-party webhook delaysZapier/Pipedream polling intervals vary (1-15 min on free tiers)

Resources

Next Steps

Proceed to apollo-performance-tuning for optimization.

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