Web Scraping Automation Is Now Built Into GHL Workflows

Apify Actions and Triggers Inside Workflows

Web Scraping Automation inside GHL now includes native Apify triggers and actions. This removes the need for webhooks or third-party tools.

Here’s what was added.

New Triggers (Apify → GHL)

Finished Actor Run
This trigger fires when an Apify actor completes its job.

Finished Task Run
This trigger activates when an Apify task finishes running.

This means your workflow can now react the moment scraping is complete. You no longer have to poll APIs or wait for external webhooks.

New Actions (GHL → Apify)

Run a Task
Execute a predefined Apify task directly inside a workflow.

Run an Actor
Run an Apify actor with custom input data.

Scrape Single URL
Extract structured data from any webpage.

Fetch Dataset Items
Pull scraped results back into GHL.

Find Last Task Run / Actor Run
Retrieve the latest execution details for processing.

This turns GHL into a true Web Scraping Automation engine. You can send data out to Apify, collect results, and trigger follow-up automation — all inside one workflow.

• No middleware.
• No fragile webhook chains.
• Just clean, connected automation.

Web Scraping Automation is not just a technical feature. It is a growth tool.

Before this update, most agencies had to connect scraping tools using webhooks or automation platforms. That setup worked, but it added extra cost and extra risk. If one tool failed, the entire system stopped working.

Now, Web Scraping Automation runs directly inside GHL workflows.

That means:

• You reduce tool overload.
• You remove fragile connections.
• You simplify your automation stack.

For agencies, this changes everything.

• You can scrape local business data and send it straight into your CRM.
• You can enrich leads automatically before your sales team contacts them.
• You can trigger campaigns based on real-time scraped data.

This improves personalization.
It improves segmentation.
It saves time.

Instead of hiring a VA to research businesses manually, your workflow can do it for you.

Web Scraping Automation inside GHL gives agencies more control, more speed, and more automation power — all inside one platform.

Web Scraping Automation becomes powerful when you apply it to real marketing workflows.

Here are practical ways agencies can use it today.

Local Lead Generation at Scale

You can scrape local businesses from platforms like Google Maps using Apify.

Then your workflow can:

Create a new contact record
Tag the contact based on industry
Add them to a pipeline
Trigger an outreach campaign

Instead of manually building prospect lists, your system builds them for you.

Competitor Monitoring

You can monitor competitor websites for changes.

When an Apify actor detects updates, your workflow can:

Send an internal alert
Create a task for your team
Notify your client
Trigger a strategic follow-up

This gives agencies a proactive edge instead of reacting late.

Lead Data Enrichment

When a new lead enters your CRM, you can scrape their website automatically.

Your workflow can:

Extract business details
Update custom fields
Add segmentation tags
Trigger personalized follow-ups

This improves targeting and increases reply rates.

Large Dataset Processing

For bigger scraping jobs, you can fetch dataset items and process them inside workflows.

Add a wait step.
Fetch results.
Loop through data using array actions.

Web Scraping Automation allows you to move from manual research to fully automated prospecting and enrichment.

And that saves serious time.

Web Scraping Automation inside GHL allows you to connect Apify, run scraping tasks, and process results directly inside your Workflows. In this section, you will connect your Apify account, add triggers or actions, and configure your workflow to process scraped data correctly.

You will learn how to:

• Access the Workflows section
• Create or Edit a Workflow
• Add an Apify Trigger
• Add an Apify Action
• Connect Your Apify Account
• Fetch and Process Dataset Items

To start make sure you are logged in to your GoHighLevel sub-account.

The Main Menu on the left side of your screen contains all the main areas you work in when using GHL.

1.1 Click Automation main menu item.

• This opens the Automation section where you can manage all workflow automation.

1.2 Click Workflows in the top menu if the Workflow List page is not already showing.

• The Workflow List page displays all your existing workflows.
• You can create a new workflow or edit an existing one from here.

1.3 Click the Create Workflow button to build a new workflow.

• A pop-up window will appear asking you to choose a template or start from scratch.

2.1 Click Add Trigger at the top of the workflow.

• The Trigger configuration panel opens on the right side of the screen.

2.2 Click Applications

• This will open all 3rd party application you can integrate in GHL

2.3 In the search bar, type Apify.

• Available Apify triggers will appear in the list.

2.4 Select Finished Actor Run or Finished Task Run.

• This sets the workflow to activate when an Apify job completes.

• If your Apify account is not connected, you must authenticate it.

3.1 Click Connect Now when prompted.

• A connection window will open.

3.2 Enter your Apify API Key.

• You can find this inside your Apify account dashboard.

3.3 Click Save to confirm.

• Once connected, setup fields will appear instantly inside the workflow.

Alternative Method:

3.4 Go to Settings in the Main Menu.
3.5 Click Integrations.
3.6 Locate Apify and click Connect.

4.1 Click the + Add Action button below your trigger.

• The Action panel opens on the right side of the screen.

4.2 Click Applications

• This will open all 3rd party application action you can integrate in GHL

4.3 In the search bar, type Apify.

• You will see available actions such as:
  • Run a Task
  • Run an Actor
  • Scrape Single URL
  • Fetch Dataset Items
  • Find Last Task Run

4.4 Select the action you want to use.

• The configuration panel for that action will appear.

4.5 Fill in the required fields.

• Choose the Actor or Task.
• Enter any custom input fields if required.
• Click Save Action when finished.

Web Scraping Automation becomes powerful when you connect it to real outreach systems.

Let’s walk through a practical agency scenario.

Scenario: Scraping Local Plumbers for Outreach

You want to generate new leads for your plumbing marketing offer.

Here is how Web Scraping Automation makes it simple.

First, you run an Apify actor that scrapes plumbers from Google Maps in a specific city.

Once the actor finishes, your Finished Actor Run trigger activates inside GHL.

Then your workflow:

• Fetches dataset items
• Creates new contact records
• Maps business name, phone, and website
• Adds a “Plumber Lead” tag
• Places the contact into a pipeline stage
• Triggers an automated email or SMS campaign

Now your system is doing what a VA used to do manually.

You can also enrich the contact automatically.

Add a Scrape Single URL action to extract more data from their website.

Update custom fields such as:

• Business description
• Service area
• Contact email
• Social links

This improves personalization.

Instead of sending generic outreach, your messages reference real business details.

That is the power of Web Scraping Automation inside GHL.

• It turns research into automation.
• It turns data into action.
• It turns scraping into revenue.

Web Scraping Automation is powerful, but you need to set it up the right way.

Here are smart tips to keep your workflows clean and reliable.

Always Use a Wait Step

After running an Apify actor or task, add a Wait step before fetching dataset items.

This gives the scraping job time to finish.

If you skip this, your workflow may try to pull data before it is ready.

Use Array Processing for Large Datasets

When you fetch dataset items, you may receive multiple results.

Use array actions to loop through each item properly.

Map fields carefully to avoid overwriting existing contact data.

Monitor Apify Usage

Apify charges based on compute and storage usage.

Large scraping jobs can increase costs.

Start small. Test your workflows. Scale when stable.

Use Custom Fields for Enrichment

Create clear Custom Fields inside GHL for scraped data.

Examples:

• Industry
• Business Size
• Website Description

This keeps your CRM clean and organized.

Avoid Over-Triggering Workflows

Do not stack multiple scraping triggers without conditions.

Add filters or tags to control when Web Scraping Automation runs.

Clean automation always performs better than complex automation.

Web Scraping Automation inside GHL is more than a technical upgrade.

It changes how you build and scale your marketing systems.

Before this update, scraping required extra tools, extra setup, and extra risk. Now it runs directly inside your workflows. That means fewer moving parts and more control.

For agencies, this creates new growth opportunities.

You can build outbound prospecting systems that run daily.
You can enrich inbound leads before your sales team contacts them.
You can monitor competitors and respond faster.

This reduces manual work.

Instead of hiring someone to collect and organize data, your automation handles it in the background.

It also improves personalization.

When your outreach includes real business details pulled from a website, your response rates increase. Better data leads to better conversations.

Web Scraping Automation gives you speed, scale, and smarter targeting.

It helps you move from manual research to automated revenue systems.

And that is where real growth happens.

Web Scraping Automation inside GHL is a serious upgrade for agencies and marketers.

You can now run Apify actors, scrape websites, fetch datasets, and trigger workflows without using webhooks or third-party tools. Everything runs inside your GHL Workflows.

That means:

• Cleaner automation
• Faster lead generation
• Better data enrichment
• Smarter segmentation

Instead of building fragile systems across multiple platforms, you can manage your Web Scraping Automation directly inside your CRM.

• This reduces errors.
• It saves time.
• It improves results.

If you build outbound campaigns, enrich inbound leads, or monitor competitors, this update gives you more control and more power.

Start small.

• Create a test workflow.
• Run a simple scraping task.
• Fetch the results.
• Trigger one campaign.

Then scale from there.

Web Scraping Automation is no longer complicated. It is now a native part of how you build inside GHL.

Have you tried this update yet?
What type of scraping workflow are you planning to build first?