Sticky Note Automate

用于Sticky Note，自动化处理每小时1500个请求，批量查询和更新PostgreSQL数据库，集成Dropcontact API以获取联系人信息，确保高效的数据管理和实时通知，通过Slack发送重要更新，提升工作效率和沟通效果。

7/8/2025
12 nodes
Medium
schedulemediumsticky noteaggregatepostgresqlsplitinbatchessplitoutwaitslackschedule triggerautomationadvanceddatabasedataapiintegrationcommunicationnotificationcron
Categories:
Communication & MessagingSchedule TriggeredData Processing & AnalysisMedium Workflow
Integrations:
Sticky NoteAggregatePostgreSQLSplitInBatchesSplitOutWaitSlackSchedule Trigger

Target Audience

This workflow is designed for:
- Data Analysts who need to aggregate and process large datasets efficiently.
- Sales Teams looking to enrich their contact lists with validated emails and phone numbers.
- Marketing Professionals who want to automate the collection and enhancement of lead data.
- Database Administrators who manage PostgreSQL databases and require automated data updates.
- Developers interested in integrating APIs for data enrichment and automation in their applications.

Problem Solved

This workflow addresses the challenge of manually enriching contact data by automating the process of querying a PostgreSQL database, sending bulk requests to the Dropcontact API, and updating the database with the enriched data. It significantly reduces the time spent on data validation and ensures that the contact information is accurate and up-to-date.

Workflow Steps

  • Schedule Trigger: The workflow is triggered on a specified schedule, allowing for regular updates without manual intervention.
    2. Profiles Query: Executes a SQL query to retrieve profiles from the PostgreSQL database, filtering for specific criteria (e.g., title, domain exclusions).
    3. Loop Over Items: The retrieved profiles are split into batches of 250 to manage API request limits effectively.
    4. Data Transformation: Transforms the data structure into a format suitable for the Dropcontact API, preparing it for bulk requests.
    5. Bulk Dropcontact Requests: Sends the transformed data to the Dropcontact API for email and phone number enrichment.
    6. Wait: Introduces a delay to ensure compliance with API rate limits before the next request.
    7. Bulk Dropcontact Download: Retrieves enriched data from the Dropcontact API using the request ID.
    8. Split Out: Splits the enriched data for further processing or updates.
    9. Postgres Update: Updates the PostgreSQL database with the new contact information, marking records as enriched.
    10. Slack Notification: Sends a notification to a Slack channel in case of any issues during the process, ensuring timely communication.

    • Customization Guide

    To customize this workflow:
    - Modify the Schedule Trigger: Adjust the timing of the workflow to fit your data update needs (e.g., daily, weekly).
    - Change Query Parameters: Edit the SQL query in the Profiles Query node to target different profiles or include additional filters based on your database schema.
    - Adjust Batch Size: Change the batch size in the Loop Over Items node if your API allows for larger or smaller requests.
    - Transform Data: Update the Python code in the Data Transformation node to accommodate different data fields or structures based on your requirements.
    - API Credentials: Ensure that your API keys for Dropcontact and PostgreSQL are correctly configured in the credentials section to avoid authentication issues.
    - Notification Settings: Customize the Slack notification message to include relevant details or alerts specific to your workflow's context.