Can I use Information Extractor’s API with n8n?

Yes, with n8n, you can programmatically interact with Information Extractor’s API via pre-defined supported actions or raw HTTP requests. With the HTTP Request node, you create a REST API call. You need to understand basic API terminology and concepts.

Can I use Sentiment Analysis’s API with n8n?

Yes, with n8n, you can programmatically interact with Sentiment Analysis’s API via pre-defined supported actions or raw HTTP requests. With the HTTP Request node, you create a REST API call. You need to understand basic API terminology and concepts.

Is n8n secure for integrating Information Extractor and Sentiment Analysis?

Yes, it is safe to use n8n to integrate Information Extractor and Sentiment Analysis. n8n offers various features to ensure the safe handling of your data. These include encrypted data transfers, secure credential storage, RBAC functionality, and compliance with industry-standard security practices (SOC2 compliant). For hosted plans, data is stored within the EU on servers located in Frankfurt, Germany. You can also host it on your own infrastructure for added control. Learn more about n8n’s security practices here.

How to get started with Information Extractor and Sentiment Analysis integration in n8n.io?

To start integrating Information Extractor and Sentiment Analysis in n8n, you have different options depending on how you intend to use it: n8n Cloud: hosted solution, no need to install anything. Self-host: recommended method for full-control or customized use cases. Unlike other platforms that charge per operation, step, or task, n8n charges only for full workflow executions. This approach guarantees predictable costs and scalability, no matter the complexity or volume of your workflows.

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Information Extractor

Sentiment Analysis

Information Extractor and Sentiment Analysis integration

Save yourself the work of writing custom integrations for Information Extractor and Sentiment Analysis and use n8n instead. Build adaptable and scalable AI, and Langchain workflows that work with your technology stack. All within a building experience you will love.

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How to connect Information Extractor and Sentiment Analysis

Step 1: Create a new workflow
Step 2: Add and configure nodes
Step 3: Connect
Step 4: Customize and extend your integration
Step 5: Test and activate your workflow

Step 1: Create a new workflow and add the first step

In n8n, click the "Add workflow" button in the Workflows tab to create a new workflow. Add the starting point – a trigger on when your workflow should run: an app event, a schedule, a webhook call, another workflow, an AI chat, or a manual trigger. Sometimes, the HTTP Request node might already serve as your starting point.

Information Extractor and Sentiment Analysis integration: Create a new workflow and add the first step

Step 2: Add and configure Information Extractor and Sentiment Analysis nodes

You can find Information Extractor and Sentiment Analysis in the nodes panel. Drag them onto your workflow canvas, selecting their actions. Click each node, choose a credential, and authenticate to grant n8n access. Configure Information Extractor and Sentiment Analysis nodes one by one: input data on the left, parameters in the middle, and output data on the right.

Information Extractor and Sentiment Analysis integration: Add and configure Information Extractor and Sentiment Analysis nodes

Step 3: Connect Information Extractor and Sentiment Analysis

A connection establishes a link between Information Extractor and Sentiment Analysis (or vice versa) to route data through the workflow. Data flows from the output of one node to the input of another. You can have single or multiple connections for each node.

Information Extractor and Sentiment Analysis integration: Connect Information Extractor and Sentiment Analysis

Step 4: Customize and extend your Information Extractor and Sentiment Analysis integration

Use n8n's core nodes such as If, Split Out, Merge, and others to transform and manipulate data. Write custom JavaScript or Python in the Code node and run it as a step in your workflow. Connect Information Extractor and Sentiment Analysis with any of n8n’s 1000+ integrations, and incorporate advanced AI logic into your workflows.

Information Extractor and Sentiment Analysis integration: Customize and extend your Information Extractor and Sentiment Analysis integration

Step 5: Test and activate your Information Extractor and Sentiment Analysis workflow

Save and run the workflow to see if everything works as expected. Based on your configuration, data should flow from Information Extractor to Sentiment Analysis or vice versa. Easily debug your workflow: you can check past executions to isolate and fix the mistake. Once you've tested everything, make sure to save your workflow and activate it.

Information Extractor and Sentiment Analysis integration: Test and activate your Information Extractor and Sentiment Analysis workflow

Scrape Trustpilot Reviews with DeepSeek, Analyze Sentiment with OpenAI

How It Works

Scrape Trustpilot Reviews
HTTP Request**:
Fetches review pages from Trustpilot (https://it.trustpilot.com/review/{{company_id}}).
Paginates through pages (up to max_page limit).
HTML Parsing**:
Extracts review URLs using CSS selectors
Splits the URLs into individual review links.
Extract Review Details
Information Extractor**:
Uses DeepSeek to extract structured data from the review:
Author: Name of the reviewer.
Rating: Numeric rating (1-5).
Date: Review date in YYYY-MM-DD format.
Title: Review title.
Text: Full review text.
Total Reviews: Number of reviews by the user.
Country: Reviewer’s country (2-letter code).
Sentiment Analysis
Sentiment Analysis Node**:
Uses OpenAI to classify the review text as Positive, Neutral, or Negative.
Example output:
{
"category": "Positive",
"confidence": 0.95
}
Save to Google Sheets
Google Sheets Node**:
Appends or updates the extracted data to a Google Sheet

Set Up Steps

Configure Trustpilot Scraping
Edit Fields1 Node**:
Set company_id to the Trustpilot company name
Set max_page to limit the number of pages scraped.
Configure Google Sheets
Google Sheets Node**:
Update the documentId with your Google Sheet ID
Ensure the sheet has the required columns (Id, Data, Nome, etc.).
Configure OpenAI
OpenAI Chat Model Node**:
Add your OpenAI API key.
Sentiment Analysis Node**:
Ensure the categories match your desired sentiment labels (Positive, Neutral, Negative).

Key Components
Nodes**:
HTTP Request/HTML: Scrape and parse Trustpilot reviews.
Information Extractor: Extract structured review data using DeepSeek.
Sentiment Analysis: Classify review sentiment.
Google Sheets: Save and update review data.
Credentials**:
OpenAI API key.
DeepSeek API key.
Google Sheets OAuth2.

Nodes used in this workflow

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Popular Information Extractor and Sentiment Analysis workflows

Scrape Trustpilot Reviews with DeepSeek, Analyze Sentiment with OpenAI

Workflow Overview This workflow automates the process of scraping Trustpilot reviews, extracting key details, analyzing sentiment, and saving the results to Google Sheets. It uses OpenAI for sentiment analysis and HTML parsing for review extraction. How It Works Scrape Trustpilot Reviews HTTP Request**: Fetches review pages from Trustpilot (https://it.trustpilot.com/review/{{company_id}}). Paginates through pages (up to max_page limit). HTML Parsing**: Extracts review URLs using CSS selectors Splits the URLs into individual review links. Extract Review Details Information Extractor**: Uses DeepSeek to extract structured data from the review: Author: Name of the reviewer. Rating: Numeric rating (1-5). Date: Review date in YYYY-MM-DD format. Title: Review title. Text: Full review text. Total Reviews: Number of reviews by the user. Country: Reviewer’s country (2-letter code). Sentiment Analysis Sentiment Analysis Node**: Uses OpenAI to classify the review text as Positive, Neutral, or Negative. Example output: { "category": "Positive", "confidence": 0.95 } Save to Google Sheets Google Sheets Node**: Appends or updates the extracted data to a Google Sheet Set Up Steps Configure Trustpilot Scraping Edit Fields1 Node**: Set company_id to the Trustpilot company name Set max_page to limit the number of pages scraped. Configure Google Sheets Google Sheets Node**: Update the documentId with your Google Sheet ID Ensure the sheet has the required columns (Id, Data, Nome, etc.). Configure OpenAI OpenAI Chat Model Node**: Add your OpenAI API key. Sentiment Analysis Node**: Ensure the categories match your desired sentiment labels (Positive, Neutral, Negative). Key Components Nodes**: HTTP Request/HTML: Scrape and parse Trustpilot reviews. Information Extractor: Extract structured review data using DeepSeek. Sentiment Analysis: Classify review sentiment. Google Sheets: Save and update review data. Credentials**: OpenAI API key. DeepSeek API key. Google Sheets OAuth2.

Build your own Information Extractor and Sentiment Analysis integration

Create custom Information Extractor and Sentiment Analysis workflows by choosing triggers and actions. Nodes come with global operations and settings, as well as app-specific parameters that can be configured. You can also use the HTTP Request node to query data from any app or service with a REST API.

Information Extractor and Sentiment Analysis integration details

Information Extractor node docs + examples

See Information Extractor integrations

Related categories

Langchain

Sentiment Analysis node docs + examples

See Sentiment Analysis integrations

Related categories

Langchain

Other integrations with Information Extractor

Other integrations with Sentiment Analysis

FAQs

Can Information Extractor connect with Sentiment Analysis?
Can I use Information Extractor’s API with n8n?
Can I use Sentiment Analysis’s API with n8n?
Is n8n secure for integrating Information Extractor and Sentiment Analysis?
How to get started with Information Extractor and Sentiment Analysis integration in n8n.io?