Do I need to know how to code?

No. You describe the scraping or research task in plain English—what sites to hit, what data to extract, where to put it. Twin builds and runs the agent. If the workflow needs adjustment, you edit the description, not a script.

Can my Apify agent run on a schedule?

Yes. Scheduling is a core part of how Twin agents work. You can set an agent to run daily, weekly, or on whatever cadence fits the workflow—weekly LinkedIn lead scans and recurring pricing checks are both common patterns in active agents.

What can Twin do with Apify scrape results?

After Apify returns data, Twin can write rows to Google Sheets, create or update Notion pages, draft Google Docs summaries, or pass records to other tools in the workflow. The most common pattern is scrape → filter → Sheet, but the destination is up to you.

Which sites can Twin scrape via Apify?

Agents have scraped LinkedIn, LoopNet, Crexi, event calendars, and competitor product pages. What's scrapable depends on the target site and Apify's actor library—Twin connects to whatever Apify supports through its API.

Integration

Automate Apify with AI agents

Describe what you want to scrape or research, and Twin builds an agent that runs it on a schedule—feeding results into Sheets, Docs, or any downstream tool.

Automate Apify Browse 104 Apify agents

What you can do with Apify

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

Competitor pricing and product scraping

Pull structured product and pricing data from competitor sites via Apify and compile it into a comparison report.
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LinkedIn profile and lead scraping

Scrape LinkedIn for profiles matching specific roles, filter out irrelevant results, and export names, titles, and URLs.
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Real estate listing research

Search LoopNet, Crexi, and similar platforms for properties matching criteria like location, size, and price range.
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Event and contact discovery

Scrape event calendars across multiple venues, then enrich contacts for outreach—all in one repeatable agent run.
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Social and trend monitoring

Combine Apify scraping with Google Trends and YouTube data to surface signals for content or market research.
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Scheduled lead capture pipelines

Run weekly LinkedIn job scans to capture B2B leads matching hiring signals, then write structured rows to a Sheet.
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How it works

Three steps from idea to a running Apify agent.

1

Connect via OAuth

Sign in to Apify 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 Apify. 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 Apify responds in unexpected ways.

Why Twin for Apify

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

No glue code between scrape and action

Apify returns raw data. Getting that data into Sheets, a CRM, or a doc usually means writing ETL scripts or stitching together multiple tools manually. Twin handles the entire chain—scrape, parse, route—without you writing any of it.

Repeatable, not one-off

Users report that manual copying between Apify outputs and downstream tools creates stale data and missed follow-ups. Twin agents run the same workflow on a schedule, so the data stays current without anyone remembering to trigger it.

Browser fallback when the API isn't enough

Some Apify workflows surface data that isn't cleanly accessible via structured API calls. Twin can fall back to browser-driven steps when needed, so the agent completes the job regardless of how the underlying page is structured.