Recruiting Hr Operations

LinkedIn Talent Sourcer

Automates pipeline sourcing for skill-based hiring. Each cadence run, it executes a configured LinkedIn search using the role profile, skill keywords, and location, scrapes candidate cards (name, title, company, tenure, location, profile URL, skills), filters out profiles already in the agent's sourced-candidate database within the deduplication window, ranks remaining candidates against the role profile, appends the top results to a Google Sheet with structured columns, and sends an HTML email digest with the highest-fit shortlist. Optionally enriches profile emails via a connected enrichment provider before export so outreach can begin immediately.

5 template uses · 3 catalog views

Agent snapshot

Built for recruiting hr work, not a generic template.

5

template uses

3

catalog views

4

integrations used

2

labels matched

Recruiting Hr Operations

Sample input

Build an agent to linkedIn Talent Sourcer. Use LinkedIn, Google Sheets, Greenhouse, and FullEnrich. Focus on operations. Return a ready-to-review result after each run.

Sample output

Every morning, runs your skill+location search on LinkedIn, dedupes against the last 30 days of sourced profiles, exports the top 25 to a Google Sheet, and emails you an HTML shortlist.

Workflow brief

Where LinkedIn Talent Sourcer fits in a recruiting hr automation system

LinkedIn Talent Sourcer is designed for a specific recurring job: automates pipeline sourcing for skill-based hiring. Each cadence run, it executes a configured LinkedIn search using the role profile, skill keywords, and location, scrapes candidate cards (name, title, company, tenure, location, profile URL, skills), filters out profiles already in the agent's sourced-candidate database within the deduplication window, ranks remaining candidates against the role profile, appends the top results to a Google Sheet with structured columns, and sends an HTML email digest with the highest-fit shortlist. Optionally enriches profile emails via a connected enrichment provider before export so outreach can begin immediately. 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 LinkedIn, Google Sheets, Greenhouse, and FullEnrich 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.

Signal 1 · 1

Wake on the configured cadence and load role profile, skill keywords, location filter, and result cap from the agent state

Signal 2 · 2

Open the sourcing platform via Browser Agent or Scrape Platforms, apply skill + location filters, and collect candidate cards up to the per-run cap times 3 to allow for dedupe loss

Signal 3 · 3

For each candidate, normalize a stable profile_key (slug of profile URL) and check the sourced-candidate database for any match within the dedupe window

Signal 4 · 4

Use Twin AI to score remaining candidates against the role profile, attaching a 1-5 fit score and one-line fit reason

Signal 5 · 5

Optionally call the enrichment provider in parallel to attach a business email and verified company domain

Signal 6 · 6

Append the top scored candidates to the configured Google Sheet, then persist their profile_key, scored fit, and run timestamp into the agent database

Integrations used

LinkedIn Talent Sourcer connects LinkedIn, Google Sheets, Greenhouse, and FullEnrich.

LinkedIn

Connected in this agent

Google Sheets

Connected in this agent

Greenhouse

Connected in this agent

FullEnrich

Connected in this agent

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Plans start at €20/mo

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