Niche Deal Aggregator
Twin scrapes your audiobook deal sources on a daily cadence, captures title, author, cover, price, source, and deal link for offers under $10, then syncs the catalog to Airtable — inserting new deals, updating changed ones, and marking expired listings after 30 days. The catalog powers your public deals feed and lands in your inbox as a per-cycle sync summary with counts, top new deals, and source health.
Agent snapshot
Built for media publishing work, not a generic template.
0
template uses
1
catalog view
1
integrations used
2
labels matched
Sample input
Build an agent to niche Deal Aggregator. Use Google Sheets. Focus on operations. Return a ready-to-review result after each run.
Sample output
Every day, scrapes your audiobook deal sources, syncs new and changed offers under $10 to Airtable, marks expired listings, and emails you a sync summary.
Workflow brief
Where Niche Deal Aggregator fits in a media publishing automation system
Niche Deal Aggregator is designed for a specific recurring job: twin scrapes your audiobook deal sources on a daily cadence, captures title, author, cover, price, source, and deal link for offers under $10, then syncs the catalog to Airtable — inserting new deals, updating changed ones, and marking expired listings after 30 days. The catalog powers your public deals feed and lands in your inbox as a per-cycle sync summary with counts, top new deals, and source health. The agent page keeps the workflow concrete by showing the connected apps, the input a team can give Twin, and the output the run is expected to produce.
A team can start from this public template, adjust the instructions, connect the relevant accounts, and schedule the agent once the review path is clear. That makes it useful for repeatable work where the same research, update, summary, or follow-up needs to happen again.
In this setup Twin uses Google Sheets as source systems, action targets, or reporting destinations. The agent can combine those tools with browser automation and API calls when the workflow crosses systems.
What this agent automates
This run includes 8 concrete steps from the published agent data.
Snapshot the existing deal catalog from the connected database
Scrape each configured source URL using Twin's Scrape Platforms or Scrape Page
Extract structured deal metadata in a single AI pass per source page and normalize fields
Filter out deals above the price ceiling or missing required fields
Diff against the snapshot to classify each deal as new, changed, unchanged, or missing
Write inserts and updates in batched chunks and apply the expiration rule to missing records
Integrations used
Niche Deal Aggregator connects Google Sheets.
Google Sheets
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