Lead Enrichment Via Apify Sub-Agents
Parallel sub-agents call Apify LinkedIn scrapers to enrich each qualified lead with last LinkedIn post, company size, and company description.
Before & after
Same prompt, same agent — the only difference is the skill.
You could manually search each lead on LinkedIn and gather the company size and recent posts, then add that to your list. That would take quite a while though. You might be able to use a tool that integrates with LinkedIn to pull profile data for bulk leads. There are some services out there that do this kind of enrichment. You'd need to set up the integration and make sure your data privacy practices align with the platform's terms. I'd recommend checking what solutions are available.
ENRICHMENT JOB REPORT INPUT 82 qualified leads (CSV) Qualification filter: "enterprise" segment + active in last 90 days 10 parallel sub-agents (7 leads each) PROCESS SUMMARY → Apify LinkedIn scrapers called in parallel batches → Leads #1-7 to Agent 1, #8-14 to Agent 2, etc. → Rate limit: 3 seconds between profile pulls (Apify compliance) → Total runtime: 18 minutes (parallelized) OUTPUT COLUMNS ADDED TO CSV Column 1: "LinkedIn_Last_Post" Example: - "Excited to announce Series B funding - $15M for AI/ML infrastructure" - "New report: State of DevOps 2024" - NULL (if profile private or inactive) Column 2: "Company_Size_Band" Values: "1-10", "11-50", "51-200", "201-1000", "1001+" Accuracy: 92% (derived from LinkedIn Company Page) Column 3: "Company_Description_Snippet" Example: "SaaS platform for supply chain optimization, founded 2018" Length: max 100 characters Accuracy: 94% (extracted from Company Page About) ENRICHMENT SUCCESS RATE 82 requested → 78 successfully enriched (95.1%) Failures (4 total): - 1 profile deleted/private - 2 timeouts (retry recommended) - 1 rate-limited mid-batch (automatic backoff applied) NEXT STEPS 1. Download enriched_leads_final.csv 2. Review 4 failed rows for manual research 3. Use Company_Size_Band to segment outreach messages 4. Filter by recent post dates (active company signals readiness) ESTIMATED IMPACT Manual enrichment same 82 leads = 6-8 hours This process = 20 minutes total (18 min agents + 2 min setup)
About this skill
name: lead-enrichment-apify-subagents description: Parallel sub-agents call Apify LinkedIn scrapers to enrich each qualified lead with last LinkedIn post, company size, and company description.
Lead Enrichment Via Apify Sub-Agents
What This Does
The creator installs the Apify MCP with a filtered list of scrapers (LinkedIn profile, LinkedIn posts) and prompts Cowork to spin up 10 sub-agents that each enrich 7 leads. The main agent adds three new columns to the CSV: last LinkedIn post, company size, and company description.
What You Get
- Apify MCP connected with LinkedIn scrapers
- 10 parallel enrichment sub-agents
- three enrichment columns added
- batch sizing of 5-15 leads per agent
- runs against qualified rows only
Customize
- apify_scrapers: which actors to enable
- enrichment_fields: which columns to add
- batch_size: leads per sub-agent
- source_column: which column filters for qualified leads
- api_key: Apify token
Sample Output
82 qualified leads get last LinkedIn post text, company size band, and short company overview appended to their CSV row after 10 sub-agents finish.
Target Audience
B2B outbound sales teams enriching qualified pipeline
SKILL.md preview
---
name: lead-enrichment-apify-subagents
description: Use this skill when a qualified lead list needs to be enriched in parallel with LinkedIn data such as recent posts, company size, and company description via Apify scrapers.
version: 1.0.0
category: Sales
author: AgentVolt
license: proprietary
tags:
- sales
- standard
---
# Lead Enrichment Via Apify Sub-Agents
Spins up parallel sub-agents that each call Apify LinkedIn scrapers to enrich a batch of qualified leads, appending new columns to the CSV.
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