GoHighLevel + Apify: Scrape Leads Straight Into Your CRM

In short

Apify and GoHighLevel connect through a webhook. An Apify Actor scrapes data into a dataset, then you POST each row to a GoHighLevel inbound webhook (or the API) to create or update contacts. There is no native integration, so the join is a webhook or a tool like n8n. Setup takes under an hour, and the GoHighLevel side is free.

• Apify is a marketplace of cloud scrapers called Actors that pull structured data from the web.
• There is no native one-click link, so you wire Apify to GoHighLevel with a webhook, a short script, or n8n.
• We run this exact setup at RocketLauncher to fill pipelines with scraped, tagged leads.

What Apify is in one line

Apify is a marketplace of cloud scrapers, called Actors, that pull structured data from websites, maps, social platforms, and search results. You pick an Actor, give it an input (like a search term or a list of URLs), run it, and it returns clean rows of data.

GoHighLevel is where those rows become contacts, conversations, and pipeline deals. Apify gets the data. GoHighLevel does the work on it. The two were not built to talk to each other, so this guide shows the honest way to connect them.

Quick disclosure before we start: rocketlauncher.ai is a live GoHighLevel showcase, and we earn a referral commission if you start GoHighLevel through our link. We use Apify with GoHighLevel on our own accounts, so this is written from real setups, not theory.

Three things this combo is good at

I use the Apify and GoHighLevel pairing for three jobs. Here is each one, with the shape of the data flow.

1. Scrape new leads into GoHighLevel

This is the big one. Run a Google Maps scraper for "dentist in Austin TX", get back 50 places with names, phones, and websites, and push each one into GoHighLevel as a fresh contact tagged scraped-lead. The workflow then sends the first outreach message. You go from a search term to a working list in minutes.

2. Enrich contacts you already have

Say you have 300 contacts with a company name but no website or social link. Feed those company names to an Apify Actor, let it find the missing fields, and update each contact back in GoHighLevel by email. Now the records are full, and your segments and personalization get better.

3. Feed a GoHighLevel workflow with scraped data

Schedule an Actor to run every morning, scrape a source (new job posts, new business listings, review changes), and POST any new rows into a GoHighLevel workflow. The workflow decides what happens next: tag, route to a pipeline, or kick off a campaign. Apify becomes a daily lead feed.

The flow in plain terms

Every version of this is the same three-step shape: Apify run, then a bridge, then GoHighLevel.

1. Apify Actor runs and writes results to a dataset.
2. A bridge (an Apify webhook, a small script, or an n8n or Make scenario) reads the dataset and loops the rows.
3. GoHighLevel receives each row on an inbound webhook and creates or updates a contact, then runs the rest of your workflow.

There is no native one-click button between the two, so the bridge is where you make a choice. A webhook is simplest. n8n or Make is friendlier if you do not want to write code. A script gives you the most control.

Step by step, with a copy-paste template

Step 1: Create the GoHighLevel inbound webhook

In GoHighLevel, make a new workflow. Set the trigger to Inbound Webhook. GoHighLevel shows you a URL. Send one test POST to it (the script below does this), then map the incoming JSON fields to contact fields like first name, email, phone, and company. This is the payload shape I send.

{
  "first_name": "{{firstName}}",
  "last_name": "{{lastName}}",
  "email": "{{email}}",
  "phone": "{{phone}}",
  "company_name": "{{companyName}}",
  "website": "{{website}}",
  "source": "apify-google-maps",
  "tags": ["scraped-lead", "google-maps"]
}

Step 2: Pick and run an Apify Actor

Open the Apify Store and search for the source you want. For local leads I use the Google Maps scraper. Set the input (a search string and a result cap), then run it once by hand to see the output. Each run writes its rows to a dataset you can read by ID.

Step 3: Bridge it (the script way)

If you are comfortable with a little code, this Node script runs the Actor, reads the dataset, and POSTs every row to your GoHighLevel webhook. It is the whole flow in one file.

// Run an Apify Actor, then push each result into GoHighLevel.
// npm install apify-client node-fetch
import { ApifyClient } from 'apify-client';
import fetch from 'node-fetch';

const apify = new ApifyClient({ token: process.env.APIFY_TOKEN });

// 1. Run an Actor (Google Maps scraper here) and wait for it to finish.
const run = await apify.actor('compass/crawler-google-places').call({
  searchStringsArray: ['dentist in Austin TX'],
  maxCrawledPlacesPerSearch: 50,
});

// 2. Read the results out of the run's dataset.
const { items } = await apify.dataset(run.defaultDatasetId).listItems();

// 3. Send each row to your GoHighLevel inbound webhook.
//    Get this URL from a workflow trigger of type "Inbound Webhook".
const GHL_WEBHOOK = process.env.GHL_INBOUND_WEBHOOK_URL;

for (const place of items) {
  await fetch(GHL_WEBHOOK, {
    method: 'POST',
    headers: { 'Content-Type': 'application/json' },
    body: JSON.stringify({
      first_name: place.title,
      email: place.email || '',
      phone: place.phone || '',
      company_name: place.title,
      website: place.website || '',
      source: 'apify-google-maps',
      tags: ['scraped-lead', 'google-maps'],
    }),
  });
}

Step 3 (no code): the webhook and n8n way

Do not want to write code? Add a webhook to the Actor instead. In the Actor's Settings, add a webhook on the Run succeeded event and point it at an n8n or Make webhook URL. Apify sends the run details, your scenario reads the dataset, loops the rows, and creates a GoHighLevel contact for each one.

# In the Apify Actor's Settings, add a webhook on the
# "Run succeeded" event. Point it at an n8n or Make webhook URL.
# Apify sends this payload, and your scenario then loops the
# dataset and creates GoHighLevel contacts.

{
  "userId": "YOUR_APIFY_USER_ID",
  "eventType": "ACTOR.RUN.SUCCEEDED",
  "resource": {
    "id": "{{runId}}",
    "actId": "{{actorId}}",
    "defaultDatasetId": "{{datasetId}}",
    "status": "SUCCEEDED"
  }
}

We walk through the n8n side in detail in the GoHighLevel MCP server guide, which also covers connecting GoHighLevel to AI tools.

Free Skool community. Grab the Apify-to-GoHighLevel webhook template and ask questions.

Honest note on cost and limits

This setup is cheap, but it is not free or limitless. Here is what to plan for.

On scraped lists, deliverability matters more than usual. Before you blast a fresh scraped list, read our guide on GoHighLevel email deliverability so you do not burn your sending domain.

Apify is for data, MCP is for AI actions

People mix these up. Apify pulls data from the web and hands it to you. The GoHighLevel MCP server is a different tool: it lets an AI assistant read and write your account directly. If you want AI to decide and act inside GoHighLevel, MCP is the modern path. If you want to scrape the outside web and load it in, Apify is the tool.

Many people run both: Apify feeds the leads, then an AI agent over MCP works them. We cover that side in the GoHighLevel MCP server guide.

"I went from a Google Maps search to a tagged pipeline of 50 contacts before lunch. The webhook did all the boring work."A RocketLauncher University member on their first Apify run.

One side I will take

Start with the webhook, not Zapier. The GoHighLevel inbound webhook is free, it is fast, and it keeps the whole flow in tools you already pay for. Reach for Zapier only if you are already deep in it. For most people, an Apify webhook into n8n or a 30-line script beats paying per task.

Free Skool community. Get the starter kit and the Apify-to-GoHighLevel template.

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