Automate your data processing pipeline in 9 steps
Learn how to build an n8n workflow that processes text, stores data in two databases, and sends messages to Slack.
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Google Cloud Natural Language and MongoDB integration
n8n lets you integrate Google Cloud Natural Language with MongoDB to build powerful workflows. Design automation that extracts, transforms and loads data between your apps and services. You can choose from thousands of ready-made apps or use our universal HTTP connector to sync apps not yet in our library.
Integrate Google Cloud Natural Language and MongoDB
Build your own Google Cloud Natural Language and MongoDB integration
Create custom Google Cloud Natural Language and MongoDB 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.
How to connect Google Cloud Natural Language and MongoDB
Step 1: Add the first step
Step 2: Add Google Cloud Natural Language and MongoDB nodes
Step 3: Connect Google Cloud Natural Language and MongoDB
Step 4: Run workflow
ETL pipeline for text processing
This workflow allows you to collect tweets, store them in MongoDB, analyse their sentiment, insert them into a Postgres database, and post positive tweets in a Slack channel.
Cron node: Schedule the workflow to run every day
Twitter node: Collect tweets
MongoDB node: Insert the collected tweets in MongoDB
Google Cloud Natural Language node: Analyse the sentiment of the collected tweets
Set node: Extract the sentiment score and magnitude
Postgres node: Insert the tweets and their sentiment score and magnitude in a Posgres database
IF node: Filter tweets with positive and negative sentiment scores
Slack node: Post tweets with a positive sentiment score in a Slack channel
NoOp node: Ignore tweets with a negative sentiment score
Nodes used in this workflow
Popular Google Cloud Natural Language and MongoDB workflows
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Google Cloud Natural Language and MongoDB integration details
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Why use n8n to integrate Google Cloud Natural Language with MongoDB
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