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# Introduction
n8n is an open supply workflow automation platform that permits you to join functions, APIs, and companies utilizing a visible, node primarily based interface. It helps automate knowledge motion, system integrations, and repetitive duties with out requiring advanced code. n8n is extensively used as a result of it’s versatile, helps self internet hosting, integrates with a whole bunch of instruments, and offers builders full management over logic, execution, and knowledge dealing with, making it a powerful different to closed automation platforms.
On this article, we are going to study concerning the prime 7 n8n workflow templates for knowledge science. These templates are plug and play, that means all it’s essential do is present your knowledge together with a mannequin API or database API. Every part else is already tried and examined, permitting you to give attention to evaluation, experimentation, and outcomes as an alternative of constructing workflows from scratch.
# 1. Automate Elementary Inventory Evaluation with FinnHub Knowledge and Google Sheets (DCF Calculator)


Hyperlink to template: Automate Elementary Inventory Evaluation with FinnHub Knowledge and Google Sheets DCF Calculator | n8n workflow template
This n8n workflow automates essentially the most time consuming elements of basic fairness analysis by changing uncooked monetary filings into institutional grade evaluation at no execution value.
It pulls six years of annual and quarterly knowledge from FinnHub, cleans and buildings the financials, calculates correct Trailing Twelve Months figures, computes three 12 months and 5 12 months compound annual development charges, and runs a full discounted money circulation valuation to estimate intrinsic inventory worth.
All historic knowledge, development developments, and valuation outcomes are routinely delivered to a related Google Sheets dashboard with charts and tables that populate immediately for quick, goal evaluation.
# 2. Automated Inventory Technical Evaluation with xAI Grok & Multi-channel Notifications


Hyperlink to template: Automated Inventory Technical Evaluation with xAI Grok & Multi-channel Notifications | n8n workflow template
This workflow is constructed for inventory merchants, monetary analysts, portfolio managers, and funding lovers who need automated, knowledge pushed inventory market evaluation with out handbook charting.
It runs each day to investigate chosen shares utilizing technical indicators reminiscent of relative power index and shifting common convergence divergence, generates clear purchase, promote, or maintain indicators, and enhances the outcomes with AI primarily based interpretation and market information.
The insights are routinely delivered by electronic mail, messaging apps, and a Google Sheets log, making it supreme for anybody who needs constant buying and selling indicators, each day market summaries, and centralized monitoring throughout a number of shares.
# 3. Course of OCR Paperwork from Google Drive right into a Searchable Data Base with OpenAI & Pinecone


Hyperlink to template: Course of OCR Paperwork from Google Drive into Searchable Data Base with OpenAI & Pinecone | n8n workflow template
This workflow automates an entire retrieval augmented era ingestion pipeline for doc indexing. When a brand new OCR JSON file is added to a Google Drive folder, it routinely extracts lesson metadata, cleans and parses the Arabic textual content, splits the content material into semantic chunks, generates AI embeddings, and shops them in a Pinecone vector index for retrieval.
As soon as processing is full, the file is moved to an archive folder to forestall duplicate ingestion. Setup is easy and requires connecting Google Drive, OpenAI for embeddings, and Pinecone credentials, then configuring the enter and archive folder paths earlier than operating the workflow.
# 4. Consolidate Knowledge from 5 Sources for Automated Reporting with SQL, MongoDB & Google Instruments


Hyperlink to template: Consolidate Knowledge from 5 Sources for Automated Reporting with SQL, MongoDB & Google Instruments | n8n workflow template
This workflow routinely consolidates knowledge from Google Sheets, PostgreSQL, MongoDB, Microsoft SQL Server, and Google Analytics right into a single grasp Google Sheet on a scheduled foundation.
Every dataset is tagged with a singular supply identifier to keep up traceability, then merged, cleaned, and standardized right into a constant construction prepared for reporting and evaluation.
The result’s a centralized, all the time updated reporting hub that eliminates handbook knowledge assortment, reduces cleanup effort, and offers a dependable basis for enterprise insights throughout a number of programs.
# 5. Automate Knowledge Extraction with Zyte AI (Merchandise, Jobs, Articles & Extra)


Hyperlink to template: Automate Knowledge Extraction with Zyte AI (Merchandise, Jobs, Articles & Extra) | n8n workflow template
This workflow offers an automatic AI powered internet scraping answer that extracts structured knowledge from e-commerce websites, articles, job boards, and search engine outcomes with out requiring customized selectors.
Utilizing the Zyte API, it routinely detects web page construction, handles pagination, retries errors, and aggregates outcomes by a two section crawling and scraping course of to provide a clear CSV export even for big web sites.
Customers merely enter a goal URL and choose a scraping objective, whereas superior logic routes the request to the proper extraction mannequin. A handbook mode can be accessible for customers preferring uncooked knowledge output and customized parsing.
# 6. Buyer Suggestions Automation with Sentiment Evaluation utilizing GPT-4.1, Jira & Slack


Hyperlink to template: Buyer Suggestions Automation with Sentiment Evaluation utilizing GPT-4.1, Jira & Slack | n8n workflow template
This workflow automates the complete buyer suggestions lifecycle by accumulating submissions by a webhook, validating the info, and utilizing OpenAI to investigate sentiment.
Destructive suggestions and have requests are routinely transformed into Jira points, whereas invalid submissions set off immediate Slack alerts for fast motion. Along with actual time processing, the workflow generates a weekly OpenAI powered abstract of all suggestions associated Jira tickets and delivers it to Slack, giving groups a transparent view of buyer sentiment developments with out handbook critiques.
# 7. Actual-Time Gross sales Pipeline Analytics with Brilliant Knowledge, OpenAI, and Google Sheets


Hyperlink to template: Actual-Time Gross sales Pipeline Analytics with Brilliant Knowledge, OpenAI, and Google Sheets | n8n workflow template
This workflow routinely screens key gross sales pipeline metrics reminiscent of new leads, deal levels, win charges, and stalled alternatives to maintain groups knowledgeable about income well being.
It connects to your CRM on a schedule, analyzes pipeline knowledge with OpenAI to detect dangers and anomalies, sends actionable alerts and summaries to Slack, and shops each day snapshots in Google Sheets for development evaluation. The result’s a completely automated gross sales visibility system that removes handbook CRM exports and helps gross sales leaders, operations groups, and reps act sooner and forecast extra precisely.
# Remaining Ideas
n8n has 1000’s of templates that may automate nearly any knowledge science workflow. The secret is realizing which of them are genuinely helpful, simple to plug in, and confirmed in actual use. The seven templates listed above are among the most sensible choices for knowledge science as a result of they cowl the total pipeline, from knowledge assortment to evaluation to supply.
You should utilize them to automate monetary evaluation, generate technical buying and selling insights, flip OCR paperwork into searchable information bases, consolidate knowledge from a number of databases for reporting, extract structured knowledge from the online with out constructing customized scrapers, analyze buyer suggestions with sentiment and challenge monitoring, and monitor gross sales pipelines in actual time with alerts and dashboards.
If you wish to transfer sooner with out always rebuilding the identical tooling, these workflows are a powerful start line. Join your knowledge supply, add your mannequin or database credentials, and begin iterating on the logic. You’ll spend much less time on setup and extra time on outcomes.
Abid Ali Awan (@1abidaliawan) is a licensed knowledge scientist skilled who loves constructing machine studying fashions. At present, he’s specializing in content material creation and writing technical blogs on machine studying and knowledge science applied sciences. Abid holds a Grasp’s diploma in know-how administration and a bachelor’s diploma in telecommunication engineering. His imaginative and prescient is to construct an AI product utilizing a graph neural community for college students combating psychological sickness.
