Data & Analytics Automation Workflows — Page 14 | Neura Market

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Data & Analytics Workflows

Data processing and analytics

Automate Keyword Extraction from Google Form Responses to Airtable Using Eden AI
Streamline your workflow by automatically extracting keywords from Google Form responses and storing them in Airtable using Eden AI.
Make$3.99
Sync Emercury Subscribers to Google Sheets
Automatically add new Emercury subscribers to a Google Sheet, ensuring your subscriber data is always up-to-date and easily accessible.
Make$4.99
Automate Apify Dataset Transfers to Google Sheets
Seamlessly transfer Apify dataset items to Google Sheets upon actor run completion, optimizing data management and workflow efficiency.
Make$3.99

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Automatically Log Lemlist Unsubscribe Events to Google Sheets

Effortlessly track unsubscribe events from Lemlist by logging them into Google Sheets for easy analysis and record-keeping.

Filter Google Sheets Rows and Export to CSV via SFTP

Efficiently filter rows in Google Sheets, convert the data into a CSV file, and securely transfer it to an SFTP server for streamlined data management.

Automate Data Entry to Google Sheets via HTTP Trigger

Automatically send data to Google Sheets by triggering an HTTP request, adding a new row with specified data.

Automate Notion to Google Sheets Data Transfer

Automatically transfer new items from a Notion database to Google Sheets for streamlined data organization and accessibility.

Automate Date Column Synchronization Between Monday Boards

This workflow automates the synchronization of date columns between two Monday boards, ensuring that updates in one board reflect in the other without reverse updates.

Automate Basin Form Submissions to Airtable

Seamlessly transfer submissions from Basin to Airtable for efficient data management. Ensure your Airtable table matches the required structure for optimal functionality.

Send submission data from JotForm to a specified URL

Streamline your data collection process by automatically sending submission data from JotForm to your desired endpoint using HP. Every time a new submission is received in JotForm, this template ensures that the data is seamlessly transmitted, allowing you to efficiently manage and utilize the information without manual intervention. Perfect for enhancing your workflow and improving data accuracy.

Validate emails from Google Forms submissions using Email List Verify and adding them to a Google Sheet spreadsheet

Every time a new Google Forms response is submitted, Make will automatically validate the email address in that form response using Email List Verify. If the email is not disposable, it will add a row with the data from that form to a Google Sheet. he example uses this [example sheet](https://docs.google.com/spreadsheets/d/12UPjizUcS5_cNcdl3U_2FM4a7HJARSrSyiBsn5U3-Y/edit?usp=sharing).

Automate Dialogflow Intent Backup to Google Sheets via Telegram

This workflow automates the export of Dialogflow intents, complete with priority levels, to a Google Sheets document. Triggered by a Telegram message, it provides visual priority indicators for easy analysis.

Sync Country Data to Firestore Database

his workflow is designed to automatically fetch and update country, language, and currency data in Firestore on a monthly basis

Retrieve Bubble Data with n8n HTTP Request

This workflow demonstrates how to connect n8n to a Bubble application to access data using an HTTP request.

Automate Google Play Review Analysis with Bright Data and Telegram Alerts

This n8n workflow automates the collection and analysis of Google Play Store reviews using Bright Data for scraping, Google Sheets for data storage, and Telegram for alert notifications. It helps monitor app performance and sends alerts for low-rated apps.

Automatically Update Unsplash User Stats in Google Sheets

Automatically fetch and update Unsplash user statistics in a Google Sheets row whenever a new row is added. This workflow streamlines data tracking for Unsplash users by integrating their statistics directly into your spreadsheet.

Run Apache Airflow DAG and Retrieve XCom Value

# Run Apache Airflow DAG and Retrieve XCom Value ## What this workflow does This workflow integrates the Apache Airflow API [DAGRun](https://airflow.apache.org/docs/apache-airflow/2.10.5/stable-rest-api-ref.html#tag/DAGRun) and [XCom](https://airflow.apache.org/docs/apache-airflow/2.10.5/stable-rest-api-ref.html#tag/XCom). It enables n8n to trigger Airflow DAGs and retrieve the execution results. ## Preparation: 1. **Update Airflow API Link Prefix** - Navigate to the `airflow-api` node. - Update the prefix of the Airflow API link in the format: `http(s)://ip:port`. - Example: `https://airflow.example.com` 2. **Configure Authentication** - Go to the `Airflow: dag_run` node. - Update the `Basic Auth` credentials with your Airflow username and password. - Repeat this step for `Airflow: dag_run - state` and `Airflow: dag_run - get result` nodes. **Security Note:** Using Basic Authentication requires storing credentials in plaintext. If possible, consider using API Keys or tokens for enhanced security. - An example is setting Airflow's [API Authentication](https://airflow.apache.org/docs/apache-airflow-providers-fab/stable/auth-manager/api-authentication.html) to [basic_auth](https://airflow.apache.org/docs/apache-airflow-providers-fab/stable/auth-manager/api-authentication.html#basic-authentication). Choose other authentication methods if needed. - Ensure the user account has the following permissions: `can create on DAG Runs`, `can read on DAG Runs`, `can read on XComs`, `can edit on DAGs`, and `can read on DAGs`. ## How to Use: To execute this workflow, use the **Execute Sub-workflow** node with the following input parameters: - **dag_id**: The DAG ID (name) in Airflow that you want to trigger. - **task_id**: The task ID (name) from which you want to retrieve the XCom return_value. - **conf**: Input data for the Airflow DAG run. - **wait**: Delay (in seconds) between each `Airflow: dag_run - state` check. - **wait_time**: The maximum time (in seconds) to wait for `Airflow: dag_run - state` before returning an error. ## Output: - The workflow returns the XCom result from `Airflow: dag_run - get result`. - The XCom `return_value` is stored in the `value` field.

Automate Facebook Ads Insights to Google Sheets Updates

Effortlessly extract insights from Facebook Ads and update Google Sheets rows for streamlined data analysis and reporting.

Automate Document Analysis and Organization Extraction with Foxit and Diffbot

This workflow automates the extraction of text from documents using Foxit and identifies organizations mentioned using Diffbot, providing a summary and sending results via email.

Convert API JSON Data to Google Sheets and CSV Files

This workflow retrieves JSON data from an API and seamlessly integrates it into Google Sheets or converts it into a CSV file, providing flexibility in data management.

AI Spotify DJ: Create Playlists & Control Player with GPT-4

AI-powered chatbot creates custom Spotify playlists from natural language requests and controls playback like play, pause, next.

Batch Airtable Requests to Send Data 9x Faster

#### ![Airtable Batching n8n template cover 1.png](fileId:942) [Watch Demo YouTube Video](https://youtu.be/sI8PWcI9Jw) ### Optimized Airtable Bulk Data Workflow This workflow is specifically designed to address the challenges of upserting or inserting large volumes of data into Airtable. By leveraging the Airtable Batch API, it delivers up to **9X faster performance** compared to standard data insertion methods, making it an indispensable tool for high-demand data operations. ### Key Features - **Accelerated Data Processing:** Utilize the Airtable Batch API to perform bulk operations swiftly and efficiently. - **Seamless Workflow Integration:** Easily integrate this sub-processor into any n8n workflow that requires Airtable updates, ensuring smooth data synchronization across multiple processes. - **Enhanced Reliability and Scalability:** Designed to handle extensive datasets, this solution is perfect for real-time updates, database migrations, and continuous data syncing without performance degradation. ### Setup Instructions 1. **Add the Sub-Workflow:** Import this workflow to your n8n workflows, then add it as a sub-workflow call in other workflows requiring a lot of Airtable updates. 2. **Configure Sub-Workflow variables: `set_Batching_vars SE Node`** - Obtain the correct Base ID and Table ID, and insert in the set_Batching_vars SE Node. ![image.png](fileId:940) - Add or select the correct Airtable credentials in both Airtable Upsert & Insert HP nodes in the sub-workflow. ![image.png](fileId:939) - Ensure the API permissions are set correctly to allow data insertion/upsertion. 3. **Adjust Batch Settings: `set_Batching_vars SE Node`** - In the same set_Batching_vars SE Node, put the field name in the merge_on field if you wish to upsert record, otherwise, keep it empty for insertion. ![image.png](fileId:938) - Correctly setup the fields you want to insert/upsert in the record field. ![image.png](fileId:941) 4. **Test the Integration:** Run a small-scale test to ensure that data is correctly processed and inserted/upserted into Airtable. --- ### Use Case Scenarios - **Bulk Data Insertion:** Efficiently insert large datasets into Airtable, perfect for initial data migrations or periodic data updates. - **Real-time Data Upsertion:** Keep your Airtable records current by integrating this workflow with your live data pipelines. - **Database Migrations & Synchronization:** Seamlessly transfer data between databases and Airtable, ensuring minimal downtime and data integrity. ### Specific Requirements for Airtable Integration - **Airtable Account:** You must have an active Airtable account with appropriate permissions to modify the target base. - **API Credentials:** Secure a valid Airtable API connection and ensure you have the correct Base ID and Table ID for the target data store. By integrating this workflow into your system, you can significantly **improve the efficiency** of your Airtable operations, **reducing processing time** and enabling **smoother data management at scale**.

Automate Google Analytics Data Transfer to Airtable

Effortlessly transfer website session analytics by country from Google Analytics to Airtable. Customize dimensions and metrics to suit your needs and automate data fetching using Cron or Interval nodes.

Automate Weekly Google Analytics Data Sync to Google Sheets

Effortlessly keep your Google Sheets updated with the latest user and session statistics from Google Analytics every Friday at 17:00. Customize the schedule to ensure stakeholders have access to the most current website metrics.

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