Marketplace Deal Hunter
An automated discovery and arbitrage agent that sweeps marketplaces, search results, and supplier directories for products or leads matching a defined niche. Each run scrapes target sources, extracts structured data with an LLM, deduplicates against previously surfaced items, scores opportunities by profit margin or resale value, and delivers a ranked top 10 to your inbox plus a running spreadsheet. Built for ecommerce operators who would otherwise spend hours manually browsing listings — turning research lag into a moat by surfacing trending niches before competitors spot them.
Agent snapshot
Built for ecommerce work, not a generic template.
1
template use
4
catalog views
3
integrations used
2
labels matched
Sample input
Build an agent to marketplace Deal Hunter. Use Google Sheets, Gmail, and HubSpot. Focus on find things. Return a ready-to-review result after each run.
Sample output
Every morning, sweeps eBay and niche marketplaces for retired LEGO Star Wars sets and job lots under $75, calculates margins after fees, dedupes against the past 30 days, and emails a ranked top 10 plus appends to your sheet.
Workflow brief
Where Marketplace Deal Hunter fits in a ecommerce automation system
Marketplace Deal Hunter is designed for a specific recurring job: an automated discovery and arbitrage agent that sweeps marketplaces, search results, and supplier directories for products or leads matching a defined niche. Each run scrapes target sources, extracts structured data with an LLM, deduplicates against previously surfaced items, scores opportunities by profit margin or resale value, and delivers a ranked top 10 to your inbox plus a running spreadsheet. Built for ecommerce operators who would otherwise spend hours manually browsing listings — turning research lag into a moat by surfacing trending niches before competitors spot them. 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, Gmail, and HubSpot 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 7 concrete steps from the published agent data.
Load previously surfaced URLs from the agent database to skip duplicates
Run web searches to build a fresh market brief with fair values and demand signals for the niche
Scrape each configured marketplace URL with summary then markdown, capped at 30 listings per source
Extract structured rows with one LLM pass per page: title, price, URL, seller signal, listing type
Score each candidate for estimated value, fees, margin, and composite rank using the market brief
Email the top picks as an HTML digest and append every opportunity to the tracking spreadsheet
Integrations used
Marketplace Deal Hunter connects Google Sheets, Gmail, and HubSpot.
Google Sheets
Connected in this agent
Gmail
Connected in this agent
HubSpot
Connected in this agent
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Start from the exact agent behind this page, then adapt the prompt, apps, and review steps to your ecommerce workflow.
Plans start at €20/mo