Splitout Schedule Create Scheduled – Business Process Automation | Complete n8n Scheduled Guide (Intermediate)
This article provides a complete, practical walkthrough of the Splitout Schedule Create Scheduled n8n agent. It connects HTTP Request, Webhook across approximately 1 node(s). Expect a Intermediate setup in 15-45 minutes. One‑time purchase: €29.
What This Agent Does
This agent orchestrates a reliable automation between HTTP Request, Webhook, handling triggers, data enrichment, and delivery with guardrails for errors and rate limits.
It streamlines multi‑step processes that would otherwise require manual exports, spreadsheet cleanup, and repeated API requests. By centralizing logic in n8n, it reduces context switching, lowers error rates, and ensures consistent results across teams.
Typical outcomes include faster lead handoffs, automated notifications, accurate data synchronization, and better visibility via execution logs and optional Slack/Email alerts.
How It Works
The workflow uses standard n8n building blocks like Webhook or Schedule triggers, HTTP Request for API calls, and control nodes (IF, Merge, Set) to validate inputs, branch on conditions, and format outputs. Retries and timeouts improve resilience, while credentials keep secrets safe.
Third‑Party Integrations
- HTTP Request
- Webhook
Import and Use in n8n
- Open n8n and create a new workflow or collection.
- Choose Import from File or Paste JSON.
- Paste the JSON below, then click Import.
-
Show n8n JSON
Title: Automating AI-Focused Grant Discovery and Team Alerts with n8n, OpenAI, and Airtable Meta Description: Discover how to build a powerful, automated workflow using n8n to track new AI-related grants from Grants.gov, evaluate eligibility with OpenAI's language model, and send daily email digests to your team. Learn to streamline lead discovery and decision-making with Airtable integration and scheduled triggers. Keywords: n8n, workflow automation, AI grants, Grants.gov, OpenAI, Airtable, LangChain, eligibility checker, grant tracking, automated emails, lead generation, machine learning, grant alert system, Airtable integration, grants newsletter — Article: How to Automate AI Grant Discovery, Evaluation, and Team Alerts Using n8n If your organization regularly applies for government grants — especially those in the fast-moving realm of artificial intelligence — speed, relevance, and clarity are essential. With thousands of listings on Grants.gov, manually identifying, vetting, and acting on opportunities is inefficient and error-prone. In this article, we’ll walk through a powerful n8n workflow template that automates the end-to-end process of discovering AI-related grants posted in the last 24 hours, evaluating them using OpenAI's large language models, logging key data in Airtable, and sending a digest email to your team before the working day begins. Welcome to seamless grant tracking. ◼️ Overview This automated workflow is powered by the open-source automation tool n8n, and performs the following five tasks: 1. Fetches new AI-related grants from Grants.gov daily. 2. Filters out previously seen grants using a deduplication node. 3. Evaluates grants using AI to summarize key info and assess eligibility based on your company’s profile. 4. Logs the grants to an Airtable tracker for organized review and collaboration. 5. Sends a digest email of eligible grants to your mailing list. Let’s take a closer look at what makes this workflow so powerful. — 🔍 1. Fetching Fresh AI Grants Daily At 8:30 AM each morning, a Schedule Trigger node kicks off the workflow. An HTTP Request node then queries Grants.gov’s REST API using a JSON payload to fetch the latest grants with the keyword “AI”, limited to those posted in the last 24 hours. The response contains an array of grant listings, notably each with an “oppId” (opportunity ID). These get split into individual items by a SplitOut node. To avoid redundant alerts or duplicate processing, the workflow applies a Remove Duplicates node that uses execution memory to retain seen IDs. Only new, unseen grants proceed through the rest of the flow. — 📄 2. Extracting Grant Details & Eligibility with AI The workflow fetches full grant details for each new opportunity by making a POST request to the https://apply07.grants.gov/grantsws/rest/opportunity/details endpoint. Two LangChain-powered information extraction nodes then go to work: - “Summarize Synopsis” uses OpenAI’s GPT-4 model to generate a simplified description containing the goal, project duration, success criteria, and extra context. - “Eligibility Factors” uses the same model to evaluate how well your company aligns with the grant’s eligibility criteria. This is based on a rich system prompt describing your organization (AI Consultants Limited and affiliates) and its capabilities, geography, registration status, and services offered. This step automates a cognitively complex task — one that typically requires a team member to compare eligibility manually — saving time and surfacing hidden opportunities more efficiently. — 🗃 3. Saving and Structuring Results in Airtable Next, a Merge node combines both AI outputs into a single data package and feeds them into the Airtable “Grants Tracker” table. The workflow creates a new row with detailed fields such as: - Opportunity title, URL, and number - Agency contact info - Estimated funding, award ranges, and deadlines - AI-generated summaries (goal and success criteria) - Eligibility status and matching rationale - Workflow-assigned “Status”: New, Under Review, Interested, etc. This Airtable database allows your team to sort, filter, and collaborate on sourced grants — and use the same data in other workflows. — 📧 4. Generating and Sending a Newsletter Digest A separate schedule at 9:00 AM triggers a follow-up flow. It pulls from Airtable all grants where: - Status is “New” - Eligibility was deemed “Yes” - Created today An HTML Template node then assembles a branded email, listing each grant with summaries, agencies, criteria, and links. The Get Subscribers node pulls your recipient list from another Airtable table where you maintain active users. Finally, a Gmail node sends the compiled newsletter to each subscriber — arriving in their inboxes as a professionally formatted update on the latest relevant funding opportunities. — 🧩 Full Automation, End-to-End This workflow showcases what n8n does best — connect APIs, integrate AI, automate decisions, and build rich, intelligent workflows without code. Best of all, it’s scheduled to run daily, so your teams are constantly informed without lifting a finger. 💼 Whether you're a government affairs analyst, startup founder, or research grant officer, this system breaks the cycle of manual grant tracking and gives your team a strategic edge. — Third-Party APIs Used in This Workflow: - Grants.gov REST API (https://apply07.grants.gov) - /opportunities/search (POST): For retrieving recent listings. - /opportunity/details (POST): For fetching full grant datasets. - OpenAI API via LangChain nodes (ChatOpenAI) - Used to summarize and evaluate grants contextually. - Airtable API - For storing grants and subscribing team members. - Used both for creating records and querying subscribers. - Gmail API - For dispatching email digests to stakeholders. — Want to build it yourself? 💡 You can clone the Airtable sample used here or adapt the workflow to your use case. Swap in different keywords, add Slack notifications, or reuse the framework for sales leads, job board alerts, security CVEs, and more. The possibilities with n8n are endless — especially when combined with the power of AI. Start automating smarter today! Learn more on our community forums or join us on Discord. Happy automating! 🚀
- Set credentials for each API node (keys, OAuth) in Credentials.
- Run a test via Execute Workflow. Inspect Run Data, then adjust parameters.
- Enable the workflow to run on schedule, webhook, or triggers as configured.
Tips: keep secrets in credentials, add retries and timeouts on HTTP nodes, implement error notifications, and paginate large API fetches.
Validation: use IF/Code nodes to sanitize inputs and guard against empty payloads.
Why Automate This with AI Agents
AI‑assisted automations offload repetitive, error‑prone tasks to a predictable workflow. Instead of manual copy‑paste and ad‑hoc scripts, your team gets a governed pipeline with versioned state, auditability, and observable runs.
n8n’s node graph makes data flow transparent while AI‑powered enrichment (classification, extraction, summarization) boosts throughput and consistency. Teams reclaim time, reduce operational costs, and standardize best practices without sacrificing flexibility.
Compared to one‑off integrations, an AI agent is easier to extend: swap APIs, add filters, or bolt on notifications without rewriting everything. You get reliability, control, and a faster path from idea to production.
Best Practices
- Credentials: restrict scopes and rotate tokens regularly.
- Resilience: configure retries, timeouts, and backoff for API nodes.
- Data Quality: validate inputs; normalize fields early to reduce downstream branching.
- Performance: batch records and paginate for large datasets.
- Observability: add failure alerts (Email/Slack) and persistent logs for auditing.
- Security: avoid sensitive data in logs; use environment variables and n8n credentials.
FAQs
Can I swap integrations later? Yes. Replace or add nodes and re‑map fields without rebuilding the whole flow.
How do I monitor failures? Use Execution logs and add notifications on the Error Trigger path.
Does it scale? Use queues, batching, and sub‑workflows to split responsibilities and control load.
Is my data safe? Keep secrets in Credentials, restrict token scopes, and review access logs.