Documentation · Workflows
How to Route Apify Scraper Output into Smartlead with Claude Code
Connect Apify and Smartlead in Deepline, describe the actor + target persona, and Claude runs scrape + waterfall + Smartlead import.
What you need
Step-by-step
- 1
Install Deepline
One command installs the Deepline CLI and registers a workspace. Takes about 30 seconds. You only do this once per machine.
curl -s "https://code.deepline.com/api/v2/cli/install" | bash deepline auth register - 2
Connect Apify in the Deepline dashboard
In the Deepline dashboard, click Integrations → Apify → paste your Apify API token. Deepline runs actors synchronously and pipes the dataset output into the next step of your chat.
- 3
Connect Smartlead in the Deepline dashboard
In the Deepline dashboard, click Integrations → Smartlead → paste your API key from Smartlead Settings → API. Deepline lists your campaigns so each chat can target the right one.
- 4
Chat with Claude
Open Claude Code and describe the workflow in plain English. Deepline handles the tool calls, waterfall routing, rate limits, auth refresh, and dedup. An example prompt for this pair:
> Scrape attendees of a Luma event via the Apify actor. Resolve emails via waterfall. Push verified emails to Smartlead campaign 'Event Attendees' with event_name + linkedin_url as custom_fields. - 5
Deploy as a workflow
Once Claude's one-off run looks right, type "Deploy this as a workflow" and tell it the schedule. Deepline wraps the exact prompt + tool chain as a recurring workflow with run history, billing, and alerting in the dashboard.
> Deploy this as a workflow that runs every weekday morning at 8am.
Cost math
For 1,000 leads: $3.50
~0.35 credits per attendee routed. Apify + waterfall + Smartlead. Deepline's credit pricing is pay-as-you-go — see code.deepline.com/docs/pricing for current rates.
Why do it in Claude Code
Waterfall routing by default
Deepline tries the cheapest provider first and only falls back if it misses. For Apify workflows, this means email enrichment stops at the first valid hit — you don't pay for the second and third provider unless you need to.
Deploy the exact prompt as a schedule
Once the one-off run looks right, "Deploy this as a workflow" wraps the same prompt + tool chain as a cron-scheduled workflow. Run history, per-run billing, and retry logic all live in the dashboard. No DevOps.
One place for every provider credential
Apify keys, Smartlead OAuth, waterfall fallbacks (Hunter, Dropcontact, Findymail, Prospeo) — all live in the Deepline dashboard. Rotate once; every workflow picks up the new credential automatically.
What people are saying
“Firecrawl benchmarks ~50x faster than Apify on JS-rendered pages at $0.0008 per scrape flat. Apify still wins on actor marketplace breadth.”
Citations sourced from community posts, vendor case studies, and engineering blogs. See src/data/workflow-social-proof.md in the repo for the full sentiment bank.
Troubleshooting
Apify integration shows red in the Deepline dashboard
Cause: Apify credentials are either expired, revoked at the provider side, or the account tier doesn't expose API access.
Fix: Click the integration row in the dashboard → Test Connection. If it fails, re-paste the API key (or re-run OAuth for key-based providers). Confirm the provider account tier includes API access — most providers gate this to paid tiers.
Workflow run succeeds but 0 rows landed in the destination
Cause: The filter returned 0 matches, OR rows failed a downstream gate (email not verified, already in destination, deliverability check failed).
Fix: Open the run in the Deepline dashboard → expand the step-by-step trace. Every row's path is logged: matched/unmatched at each stage. Most frequent culprit is the email-verification gate. Loosen the filter or remove the gate in the prompt if that's the cause.
Scheduled workflow stopped firing
Cause: Either hit a provider rate-limit, ran out of Deepline credits, or the destination API returned 500s Deepline classified as permanent.
Fix: Dashboard → Workflows → Recent Runs. Failed runs show the exact error and a "Replay" button. Credits are visible top-right. Rate-limit issues auto-resume once the window resets; permanent errors need intervention.
FAQ
Do I need an Anthropic API key for this?
No. You need Claude Code (the CLI/IDE). Deepline provides the tool-execution layer and credit system. Your Claude Code subscription or Anthropic API key handles the LLM calls — Deepline handles the GTM actions underneath.
How does Deepline handle dedup across runs?
Built-in. For Smartlead as a destination, Deepline uses the provider-native idempotency key (email for HubSpot/Attio, External_Id for Salesforce, campaign-level dedup for Instantly/Smartlead/Lemlist). Reruns update existing records instead of creating duplicates.
Can I still use my own API keys?
Yes. Paste them in the Deepline dashboard under Integrations. Deepline uses your keys for the actual provider calls — you keep your provider contracts, billing, and rate limit allocation. Deepline's credit billing only covers the orchestration + waterfall layer.
What if my filter only matches 3 rows but the workflow says 1000?
Deepline runs exactly what you describe. The 1000 in cost-math is the reference cost per 1K rows — a 3-row run costs 3/1000 of that total. You never pay for rows that don't exist.
Can I combine this with a waterfall?
Yes. Mention it in the prompt — e.g. "If Apify doesn't return an email, fall back to Hunter → Dropcontact → Findymail." Deepline assembles the waterfall automatically and charges you only for the provider that successfully finds each row.
Related workflows
Apify → Instantly
Connect Apify and Instantly in Deepline, pick the actor, and Claude runs scrape + email waterfall + Instantly import.
Apify → HubSpot
Connect Apify and HubSpot in Deepline, tell Claude which actor to run and how to map fields, and it runs the scrape + enrichment + HubSpot upsert in one chat.
LinkedIn (post commenters, via Apify) → Smartlead
Same scrape + resolve + first-line flow as the Lemlist variant, destination is Smartlead's warmup and rotation.
Want this workflow pre-configured?
Run it on Deepline or fork the full skill pack on GitHub. Either way, the code is yours to read and change.