Do I need to know how to code?

No. You describe what you want in plain English—"find contacts in Apollo matching VP of Sales at SaaS companies and add them to my sheet"—and Twin builds the agent. No scripts, no API keys to wire up manually.

Can my Apollo agent run on a schedule?

Agents can run on a recurring schedule—daily, weekly, or at whatever cadence fits your workflow. A prospecting agent can check Apollo for new contacts matching your filters each morning and append results to a running Google Sheet.

Which tools can Twin connect Apollo to?

The most common pairings are Google Sheets, HubSpot, Airtable, GoHighLevel, and Slack. Twin can pass data between Apollo and these tools in a single workflow—enriching in Apollo, writing to a sheet, and posting a Slack summary, for example.

What Apollo data can an agent work with?

Agents can work with contacts, companies, deals, lead status, pipeline stages, tasks, notes, owners, and segments—the core entities in Apollo's platform.

Which Apollo agents in the Twin community can I clone?

Browse the Apollo grid further up the page for community-built starting points; each card surfaces run and clone numbers to help you pick. It is almost always faster to clone a Apollo agent than to spec one from scratch.

Integration

Automate Apollo lead research and outreach

Describe the workflow you want—filtering contacts by industry and title, enriching records, updating pipeline stages—and Twin builds an agent that runs it.

Automate Apollo Browse 82 Apollo agents

Integration guide

How Twin uses Apollo inside repeatable agent workflows

Twin treats Apollo as part of a larger workflow, not as an isolated connector. An agent can read the relevant records, combine them with context from other tools, decide what needs to happen next, and report the finished work back to the team.

The page below shows the practical automation patterns for Apollo: what the agent can monitor, which actions it can take, and how the workflow stays observable when it runs on a schedule.

Common starting points include sales prospecting with apollo, lead enrichment via apollo, crm sync from apollo. Each example is designed to become a reusable agent, so teams can start from a narrow job and expand it as the process matures.

Twin is most useful when finding contacts, applying filters, enriching records, and moving data to another tool involves at least four distinct steps. Doing this manually every time creates stale data and missed follow-ups. Twin holds the whole sequence together and reruns it on demand.

What you can do with Apollo

Real Apollo workflows the Twin community runs every day, ready for you to clone.

Build filtered lead lists from Apollo contacts

Search Apollo contacts using industry, title, and segment filters, then pull the results into a structured list ready for outreach.
Explore
Enrich company and contact records

Pull firmographic and contact data from Apollo companies and deals to fill gaps in sparse lead records before handoff.
Explore
Export Apollo data to Google Sheets or Airtable

Move enriched contacts and deal data out of Apollo and into a spreadsheet or Airtable base without manual copy-paste.
Explore
Sync Apollo pipeline stages to your CRM

Read deal and lead status from Apollo and write updates to HubSpot or GoHighLevel so pipeline records stay current across tools.
Explore
Run scheduled prospecting on a recurring cadence

Set an agent to search Apollo for new contacts matching your criteria daily or weekly, then append results to a running sheet.
Explore
Enrich event-sourced contacts through Apollo

Take contacts discovered from external sources—event calendars, filings, listings—and look them up in Apollo to add title and company data.
Explore

How it works

Three steps from idea to a running Apollo agent.

1

Connect via OAuth

Sign in to Apollo once. Twin securely manages the connection and handles token refreshes for you.
2

Describe the workflow

Tell Twin in plain English what you want done in Apollo. The agent figures out the API calls itself.
3

Twin builds and runs

Twin assembles the agent, runs it on demand or on a schedule, and adapts when Apollo responds in unexpected ways.

Why Twin for Apollo

What makes Twin a better fit than a generic automation tool.

Apollo workflows are multi-step by nature

Finding contacts, applying filters, enriching records, and moving data to another tool involves at least four distinct steps. Doing this manually every time creates stale data and missed follow-ups. Twin holds the whole sequence together and reruns it on demand.

Browser fallback when the API isn't enough

Apollo's API surface doesn't always expose every filter or view available in the app. Twin can fall back to driving the browser interface directly when structured API access is limited, so the workflow doesn't break at the edges.

No glue code between Apollo and your other tools

The most common Apollo workflows involve Google Sheets, HubSpot, or Airtable. Twin connects them without requiring a Zapier zap per step or a developer to write the integration logic.

Apollo agents from the community

Be the first to build a Apollo agent.

The Twin community hasn't published a Apollo agent yet — describe what you'd like to automate and we'll build it for you in minutes.

Build the first Apollo agent

Common Apollo use cases

Patterns that show up across the Twin community — start from one and adapt it.

Sales prospecting with Apollo

Filter Apollo contacts by industry and title, then export a ready-to-use lead list.

See use case

Lead enrichment via Apollo

Fill sparse records with Apollo company and contact data before outreach.

See use case

CRM sync from Apollo

Keep pipeline stages and lead status current across Apollo and your CRM.

See use case

Build with more than Apollo

These related integration pages give crawlers and readers another path through the automation catalog. They connect Apollo to nearby apps, categories, and paired workflows that teams often evaluate together.

See all integrations