Monitor Crunchbase daily for new funding rounds, parse and filter data, and log results to Google Sheets and Airtable.
The AI agent automatically collects Crunchbase funding rounds every day and standardizes key fields. It filters for rounds announced in the last 30 days to keep insights fresh. It writes the results to Google Sheets for reporting and to Airtable for structured storage and analysis.
Automates data collection, cleaning, and dual-output storage.
Fetches latest Crunchbase funding rounds daily
Parses and normalizes fields (company, funding type, funding amount, investors, industry, URL)
Filters to rounds within the last 30 days
Appends or updates Google Sheets with new records
Stores the same records in Airtable for structured storage
Logs run status and notifies stakeholders when complete
The AI agent replaces manual Crunchbase data gathering with an automated, auditable workflow that ensures data freshness and consistency. It consolidates Crunchbase funding data with sheets and Airtable for easy sharing and analysis.
Three-step flow that automates data collection and storage.
A daily schedule triggers the AI agent and fetches up to 100 funding rounds from Crunchbase via the API.
The agent parses the raw API response into clean fields and filters to rounds from the last 30 days.
It appends the records to Google Sheets and syncs them to Airtable for reporting and structured storage.
One realistic scenario illustrating daily operation.
Scenario: A market researcher configures the AI agent to run every morning at 6:00 AM to fetch the latest Crunchbase funding rounds, filter to the last 30 days, and update Google Sheets and Airtable by 6:05 AM for the daily digest.
One supporting sentence.
Needs fresh funding signals to inform competitive analyses and market sizing.
Requires up-to-date deal flow data to screen opportunities.
Provides clean, standardized data for dashboards and reports.
Wants centralized funding data for strategic planning.
Uses funding signals to guide product-market fit and partnerships.
Needs auditable data and shareable reports for governance.
One supporting sentence with short explanation.
Fetches latest funding rounds and details.
Stores daily records for reporting and collaboration.
Keeps a structured database of funding events.
One supporting sentence with short explanation.
One supporting sentence with short explanation.
The AI agent retrieves funding rounds from Crunchbase via API and standardizes the fields essential for reporting. It focuses on fresh rounds to ensure the data remains relevant for the current period. The processing step normalizes company name, funding type, amount, investors, industry, and known URLs to a consistent schema. If the API returns incomplete data, the agent fills gaps with sensible defaults or leaves fields as null for later enrichment. All steps are logged for traceability and accountability.
The AI agent runs on a daily schedule by default, pulling the latest Crunchbase rounds and updating both Google Sheets and Airtable. The cadence can be adjusted to a different time or frequency if needed. Each run filters data to include only rounds within the last 30 days to keep the dataset current. If a run fails, the agent retries with backoff and surfaces an alert to stakeholders. Historical data remains accessible for audits and comparisons.
Yes. The 30-day filter is configurable to any recency window you specify. Changing the window affects which rounds are included in the Google Sheets and Airtable outputs. The update is applied to subsequent runs without requiring manual reprocessing of existing records. This keeps the data fresh while preserving historical context in Airtable.
The AI agent includes error handling and backoff for API rate limits. If a call fails, it retries with incremental delays and notifies designated stakeholders. Partial results from a successful subset are still written to Sheets and Airtable to avoid data gaps. Once access is restored, the full fetch runs again on the next scheduled cycle. You retain visibility through run logs and status badges.
Results are stored in two places: Google Sheets for easy reporting and Airtable for structured, database-like access. Access is controlled by your Google Drive and Airtable permissions, so only authorized teammates can view or edit. The AI agent logs each run, providing an audit trail of what data was collected and when it was written. Shared links can be restricted or expanded based on your security requirements.
The current flow targets Google Sheets and Airtable by design to support reporting and structured storage. It can be extended to additional apps if your workflow evolves, such as BI tools or data warehouses. Any extension would follow the same pattern: fetch, normalize, filter, and write, with transparent logging. Custom integrations are implemented with minimal disruption to existing runs.
The AI agent maintains run logs, including timestamps, data counts, and error messages. You can review history to verify that new rounds were captured and stored correctly. Alerts can be configured to notify you of failures or anomalies. Regular performance checks ensure data quality, recency, and consistency across Sheets and Airtable.
Monitor Crunchbase daily for new funding rounds, parse and filter data, and log results to Google Sheets and Airtable.
