Automated AI Web Data Extraction and Email Delivery - n8n Workflow

SEO Specialists & Marketers: Rapidly extracting competitive product data, contact lists, or specific content metrics from websites. Data Analysts: Needing custom, ad-hoc scraping jobs without writing code. n8n Users Seeking AI Integration: Individuals looking for practical examples of how to integrate the Gemini LLM with web scraping within an n8n workflow. Automation Enthusiasts: Anyone needing a quick, robust n8n templates solution for data extraction powered by an accessible n8n trigger.

Manually extracting specific data points from large HTML documents is time-consuming and error-prone. This sophisticated n8n workflow solves this by combining the precision of modern LLMs with reliable scraping techniques.

Starting with an easy-to-use n8n trigger (a web form), the user inputs the target URL and the exact data they need. The n8n workflow then processes the raw HTML, hands it over to the Google Gemini 2.5 flash model via the dedicated n8n node, and instructs the AI to perform the complex extraction based on user rules. Finally, the extracted, structured data is formatted and immediately delivered via Gmail, ensuring you receive timely and accurate results without ever logging into the n8n interface to check the status. This n8n template showcases how powerful AI and simple flow logic can revolutionize routine data tasks.

This powerful n8n workflow operates in a clear, five-step sequence:

1. Form Trigger Activation: The process begins with the Web Scraper form submission n8n trigger. A user submits a form providing the Source URL and Data to extract request.


2. HTML Retrieval: The Get HTML from source url n8n node uses the submitted URL to fetch the complete website HTML content.


3. Content Preparation: The HTML Extractor n8n node isolates the main body content, stripping away irrelevant headers or scripts, preparing a cleaner dataset for the AI.


4. AI Extraction (LLM Chain): The Data Extractor LLM Chain n8n node orchestrates the intelligence layer. It uses the Google Gemini Chat Model and the user's instructions to analyze the raw HTML body. It is paired with a Structured Output Parser to guarantee the result is returned in a clean JSON format, typically {"result": "extracted value(s)"}, adhering strictly to the extraction rules defined in the prompt.


5. Result Delivery: The final step uses the Gmail - Send Result n8n node to compile a summary email containing the original request details and the clean extracted data ($json.output.result), confirming the successful completion of the automated n8n workflow.

To deploy this useful n8n workflow template, follow these steps:

1. Import the n8n Workflow: Copy the provided JSON data and paste it into your n8n instance using the 'Import Workflow' function.


2. Set Up Gemini Credentials: You need to set up a credential for the Google Gemini (PaLM) API in your n8n environment. This credential must be linked to the Google Gemini Chat Model n8n node.


3. Set Up Gmail Credentials: Connect your Gmail account to the Gmail - Send Result n8n node. This requires an OAuth2 credential setup.


4. Configure Email Recipient: In the Gmail - Send Result n8n node, change the recipient email address from templatedataextactorreplace[email protected] to your desired delivery address.


5. Activate the Trigger: Ensure the Web Scraper form submission n8n trigger is activated (set to 'Active' mode) to generate the publicly accessible form URL.


6. Test the n8n template: Submit a test URL and extraction request through the generated form URL to verify the end-to-end operation of the n8n workflow.

This n8n workflow utilizes several key nodes to achieve its goal:

Web Scraper form submission (Form Trigger n8n trigger):
Function: Starts the n8n workflow upon submission of the embedded web form.
Key Configuration: Defines two required input fields: Source URL and Data to extract.
Get HTML from source url (HTTP Request n8n node):
Function: Fetches the raw HTML content of the website specified by the user's form input.
Key Configuration: Uses an expression ={{ $json['Source URL'] }} to dynamically set the target URL.
HTML Extractor (HTML n8n node):
Function: Parses the fetched HTML and extracts only the relevant body content, improving the quality of input for the AI.
Google Gemini Chat Model (LLM n8n node):
Function: Provides the AI intelligence layer for content analysis.
Key Configuration: Uses the fast and efficient models/gemini-2.5-flash model.
Structured Output Parser (Output Parser n8n node):
Function: Enforces a specific JSON structure ({"result": "extracted value(s)"}) for the AI's output, making the data reliable and easy to consume downstream.
Data Extractor LLM Chain (LangChain Chain n8n node):
Function: Executes the core extraction logic. It combines the LLM, the parser, the extraction request, and the HTML data into one task, guided by a detailed prompt.
Gmail - Send Result (Gmail n8n node):
Function: Delivers the successful extraction results directly to the user's inbox.
Key Configuration: Dynamically constructs the subject line and email body, including the extracted data using the expression {{ $json.output.result }}.