Automate price tracking for Amazon listings using Decodo, Google Sheets, Gmail, Calendar, and Telegram.
The AI Agent reads product URLs and baselines from Google Sheets, fetches live prices with Decodo, computes diffs, and routes alerts to Telegram, calendar, or email based on thresholds.
Performs continuous price surveillance and channel-specific alerts.
Read URLs and baselines from Google Sheets.
Fetch current price data via Decodo.
Calculate percentage difference against baseline.
Route items to High/Normal/Low categories.
Notify via Telegram and create calendar events for spikes.
Email stakeholders with HTML summaries for price drops.
Automates end-to-end price monitoring and alerting across Google Sheets and Decodo, delivering timely alerts.
A simple 3-step flow that non-technical users can follow.
Reads product URLs and baseline prices from Google Sheets.
Uses Decodo to extract current Amazon price, title, and product data.
Calculates percentage difference, classifies as High/Normal/Low, and triggers Telegram alerts, calendar invites, or HTML emails.
A realistic scenario showing the automation in action.
Scenario: A seller tracks 50 products. In one run, 5 show a price spike over 10%. Telegram alerts are issued and calendar invites created for reviews; simultaneously price drops trigger HTML emails to procurement and stakeholders.
Roles that gain direct value from automated price monitoring.
Needs real-time visibility into price movements across Amazon listings.
Manages pricing strategy across multiple SKUs and channels.
Needs timely signals to adjust sourcing decisions.
Wants automated pricing intelligence to stay competitive.
Wants to monitor category-wide price trends and adjust promotions.
Requires a repeatable workflow for price data and alerts.
Tightly integrated with core tools to automate the workflow.
Reads/writes URLs and baselines for price monitoring.
Fetches live price, title, and product data from Amazon.
Delivers real-time price alerts to channels or users.
Creates events for notable price changes.
Sends rich HTML emails to stakeholders when prices drop.
Practical scenarios that demonstrate concrete outcomes.
Common questions with practical answers.
It can monitor any Amazon product with a price. You provide the URLs and baseline prices in Google Sheets, and the agent fetches live data via Decodo on a schedule. If a URL is invalid or data is missing, the agent logs the issue and continues with the remaining items. The system handles batching to respect API rate limits and provides clear remediation steps in the logs. You can extend metadata in the sheet to enrich monitoring and alerts.
Yes. Thresholds for price increases or decreases are editable in the configuration you provide in Google Sheets or within the agent’s routing logic. Changes apply to new cycles and can be tested in a dry-run. The agent also supports per-item thresholds, so you can tailor alerts per product. You can export historical performance to analyze threshold effectiveness.
Yes. It can send Telegram alerts, issue Gmail HTML emails, and create Google Calendar events. The routing logic can be extended to additional channels like Slack, WhatsApp, or Notion with minimal config. You can centralize notifications from a single dashboard and maintain a consistent format across channels. The agent respects user preferences and avoids duplicate alerts by batching per cycle.
The agent reads baseline and URL data from Google Sheets and uses Decodo to pull real-time price data from Amazon. It does not require separate databases unless you choose to extend it. Data is processed in memory per cycle and bubbled into logs for traceability. You can augment with additional metadata in Sheets for richer context in alerts.
The agent processes items in controlled batches and respects the API limits of each connected service. It includes built-in retry logic and delay handling to avoid throttling. If a temporary limit is reached, it logs the event and resumes processing the next batch. Overall, this ensures reliable, scalable monitoring over time.
Yes. The architecture is designed to support additional marketplaces or product metadata. You can add new URLs, baseline columns, and routing conditions, and even introduce new alert channels. You can also enrich data with additional fields in Google Sheets to support richer conditional logic. Any extension should maintain the same 3-step flow (ingest, fetch, route/notify) for consistency.
Invalid URLs are logged, and the item is skipped without breaking the overall run. The agent reports the issue in the logs and can trigger a notification to the owner if configured. The processing continues for all valid rows, and a summary is returned at the end of the cycle.
Automate price tracking for Amazon listings using Decodo, Google Sheets, Gmail, Calendar, and Telegram.
