How to Use the Make.com AI Content Extractor

The Make.com AI Content Extractor lets you pull structured data from any unstructured text, email, or webpage and send it to the tools you already use. This step-by-step guide shows you exactly how to configure, test, and deploy the module so you can automate data extraction with accuracy and speed.

What the Make.com AI Content Extractor Does

The AI Content Extractor module converts messy, human-readable content into well-structured data that other modules in your Make.com scenarios can use.

Typical use cases include:

• Extracting order details from confirmation emails
• Capturing lead information from form notifications
• Pulling product specs from web pages
• Summarizing long blocks of text into key fields

Instead of writing complex parsing rules, you describe what you want in plain language and the AI Content Extractor builds structured output for you.

Prerequisites for Using Make.com AI Extraction

Before you configure the AI Content Extractor in Make.com, confirm you have:

• An active Make.com account with scenario access
• Source data you want to analyze, such as an email body, form payload, or web page content
• At least one destination app or module where extracted data will be sent

The module works best when you know what fields you want to extract, such as name, email, company, date, or order number.

Where the Make.com AI Content Extractor Fits in a Scenario

In a typical automation, the AI Content Extractor sits between an input trigger and your destination apps.

1. Trigger: A new email, form submission, webhook, or document import starts the scenario.
2. AI Content Extractor: The module reads the raw content and turns it into structured fields.
3. Action modules: CRM, spreadsheet, help desk, or notification modules use the extracted fields.

This pattern lets you replace manual copy-paste work with a reusable Make.com automation.

Step-by-Step: Configure the Make.com AI Content Extractor

Follow these steps to add and configure the AI Content Extractor in a new or existing scenario.

Step 1: Add the AI Content Extractor Module in Make.com

1. Open your Make.com dashboard and go to Scenarios.
2. Create a new scenario or open an existing one.
3. Click the plus icon to add a module.
4. Search for the AI or content extractor module by name and select it.

Place the module after the trigger that provides the text you want to analyze.

Step 2: Choose and Map the Input Content

The AI Content Extractor needs one main input: the text or HTML content to analyze.

1. In the module settings, locate the Input or Text field.
2. Use the mapping panel to select the content from your trigger, such as:

• Email body from an email trigger
• Form message field from a form app
• Page content from an HTTP or web scraping module

Make sure you map the complete text that contains all the data you plan to extract.

Step 3: Define the Fields You Want to Extract

Next, describe the structure you want the Make.com module to return.

1. Find the configuration area where you specify desired fields or schema.
2. List the pieces of information you need, for example:

• Customer name
• Email address
• Company
• Order ID
• Total amount
• Date of purchase

3. Use clear, unambiguous labels so the AI can infer the correct values.
4. If the module allows examples, provide a short example of how the data should look.

The clearer your requested fields are, the more reliable your Make.com extractions will be.

Step 4: Configure Output and Data Types

The AI Content Extractor returns structured data that you can map just like any other Make.com module output.

1. Review the fields the module will return after extraction.
2. Assign appropriate data types if the module supports them, such as:

• Text for names and descriptions
• Email for email addresses
• Number for amounts or quantities
• Date or datetime for dates

3. Save your configuration so the module can be tested with real data.

Using the right types improves downstream validation and filtering in Make.com scenarios.

Step 5: Test the AI Content Extractor in Make.com

Always test with real or realistic data before going live.

1. Run the scenario once with a sample input (such as a real email or message).
2. Open the AI Content Extractor module bubble after execution.
3. Inspect the output fields to confirm that values are extracted correctly.
4. Adjust your field definitions or wording if any data is missing or inaccurate.

Several short test runs usually lead to a highly reliable extraction setup.

Connect Extracted Data to Other Make.com Modules

Once extraction is working, connect the output to the rest of your automation in Make.com.

Popular Destinations for Extracted Data

• CRM systems: Create or update contacts with extracted names and emails.
• Spreadsheets: Log each extracted record as a new row.
• Help desk tools: Use extracted order IDs or account details to enrich tickets.
• Notification channels: Send summaries to Slack or email using the extracted fields.

In each downstream module, simply map the relevant output fields from the AI Content Extractor into the inputs of the next Make.com module.

Best Practices for Reliable Extraction in Make.com

Follow these recommendations to improve accuracy and stability over time.

Write Clear Instructions

• Use simple, direct language when naming fields.
• Avoid overlapping field meanings, such as “total” and “grand total” at the same time.
• Include key context in your field descriptions when possible.

Standardize Source Content Where Possible

• Use consistent templates for outbound forms or messages.
• Encourage partners or teams to follow a unified email structure.
• Where you can, reduce unnecessary boilerplate text in incoming data.

Monitor Scenario Runs in Make.com

• Review logs for new or unusual data formats.
• Refine field definitions whenever failures or inconsistencies appear.
• Create filters to handle incomplete or low-confidence results.

Example Workflow: Email to CRM with Make.com

Here is a practical example of how to combine the AI Content Extractor with other modules in Make.com.

1. Trigger: New email received in a support inbox.
2. AI Content Extractor: Extracts the sender name, email, company, and a short description of the request.
3. CRM module: Creates or updates a contact using the extracted fields.
4. Task manager: Creates a follow-up task with a summary of the request.

This simple pattern can be adapted to order processing, lead capture, recruitment pipelines, and more inside Make.com.

Further Optimization and Resources

To deepen your automation skills beyond this Make.com how-to guide, consider exploring external resources and expert support.

• Read the original feature overview and examples on the Make.com AI Content Extractor page.
• Work with automation and AI specialists, such as the team at Consultevo, to design complex, large-scale workflows.

By combining the AI Content Extractor with the rest of the Make.com toolkit, you can transform unstructured information into reliable, actionable data in any system you use.

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