Run LinkedIn Scraper LinkedIn group members from Claude Code, route the signal-based selling output through Deepline, and write the reviewed result into Attio. The page shows which data points move, how the fields map between systems, the pilot command, guardrails, and provider-doc links.
Install the Deepline CLI and register your workspace. This gives Claude Code a tested API surface instead of a browser-only workflow.
curl -s "https://code.deepline.com/api/v2/cli/install" | bash
deepline auth registerConnect LinkedIn Scraper in the Deepline dashboard. Deepline stores the credential encrypted, exposes a test endpoint, and makes the action callable from Claude Code. Provider reference: https://deepline.com/docs/providers/linkedin_scraper.
Connect Attio as the destination. Use the provider page and docs to confirm required scopes before writing data. Destination reference: https://deepline.com/docs/providers/attio.
Run the smallest useful pilot first. The row range is end-exclusive, so --rows 0:2 tests exactly two rows before a larger batch. Inspect profile identity, post activity, company context plus provider attribution before writing anywhere.
deepline enrich --input leads.csv --output leads.enriched.csv \
--with 'result=linkedin_scraper_linkedin_extract_group_members:{}' \
--rows 0:2 --json
# Review the pilot output, then map the result into Attio.After the pilot is correct, ask Claude Code to deploy the exact prompt as a Deepline workflow. The mapping from LinkedIn Scraper to Attio is preserved with run history, retries, billing visibility, and a rollback tag.
> Use LinkedIn Scraper LinkedIn group members to find new buying signals for our target accounts, score each signal by urgency and fit, write the best linkedin activity into Attio, and post anything needing human review before activation.For 1,000 leads: Pilot first; Deepline credits depend on the selected action and successful results.
Deepline reports Deepline credits and run history. Provider subscriptions or API entitlements stay in the connected provider account.
Claude Code can read the LinkedIn Scraper action, run a pilot, inspect the output, and then write only reviewed rows to Attio.
The workflow links the Deepline provider docs, the GTM Provider Directory profile, and related workflow pages so agents can cite the right source before they call a tool.
Once the pilot works, the prompt can run on a schedule with Deepline run history, retry behavior, and explicit failure states.
Cause: The input filter is too narrow, credentials are missing a required scope, or the provider account tier does not expose the action.
Fix: Open the LinkedIn Scraper integration in Deepline, run the test endpoint, and then retry the workflow on --rows 0:2 with a broader filter.
Cause: The destination field names, object IDs, campaign IDs, or permissions do not match the connected workspace.
Fix: Use the Attio provider page to inspect the object schema, then map columns explicitly before running the full batch.
Cause: A required ID, campaign name, or date window was hardcoded in the prompt instead of resolved during each run.
Fix: Move IDs into workflow inputs or a lookup step, and keep the scheduled prompt focused on the durable business rule.
Yes. Deepline exposes the LinkedIn Scraper action as an agent-callable API/CLI step, so Claude Code can run a pilot, inspect the JSON, and then deploy the same logic as a workflow.
Run a two-row pilot first, inspect provider attribution and dedupe fields, then allow the workflow to write to the destination. This keeps the assertion intact without using a test hack.
It puts primitives first: source provider, destination, action, pilot command, scope assumptions, troubleshooting, and links to the provider docs and related GTM Stack pages.
Connect Apollo and Attio in Deepline, tell Claude your ICP filter + the Attio list to assign, and the workflow runs. Deepline uses Attio's matching_attribute=email_addresses so reruns update existing People, never duplicate.
Connect PDL and Attio in Deepline, describe the ICP in plain English (or ES-DSL for power users), and Claude runs search + enrich + Attio upsert. matching_attribute=email_addresses keeps reruns idempotent.
Connect ZoomInfo and Attio in Deepline, describe the persona, and Claude runs ZoomInfo search + enrich + Attio upsert. matching_attribute=email_addresses keeps it idempotent.
Connect Attio and Instantly in Deepline, pick the Attio list or filter, and Claude runs the export + Instantly import with attio_record_id for reply attribution.
Connect Attio and Smartlead in Deepline, pick the list or filter, and Claude runs the export + Smartlead import.
Run it on Deepline or fork the full skill pack on GitHub. Either way, the code is yours to read and change.