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Scrape and verify business leads using Apify, classify with LLM, enrich emails, and save to Google Sheets. Use when user asks to find leads, scrape businesses, generate prospect lists, or build lead databases for any industry or location.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
| name | scrape-leads |
| description | Scrape and verify business leads using Apify, classify with LLM, enrich emails, and save to Google Sheets. Use when user asks to find leads, scrape businesses, generate prospect lists, or build lead databases for any industry or location. |
| allowed-tools | Bash, Read, Write, Edit, Glob, Grep |
Scrape leads using Apify (code_crafter/leads-finder), verify their relevance (industry match > 80%), and save them to a Google Sheet. For large scrapes (1000+ leads), use parallel scraping for 3-5x faster performance.
All scripts are in ./scripts/:
scrape_apify.py - Single scrape, for <1000 leadsscrape_apify_parallel.py - Parallel scraping, for 1000+ leadsclassify_leads_llm.py - LLM-based lead classificationenrich_emails.py - Email enrichment via AnyMailFinderupdate_sheet.py - Batch sheet updatesread_sheet.py - Read data from Google SheetsTest Scrape
python3 ./scripts/scrape_apify.py --query "INDUSTRY" --location "LOCATION" --max_items 25 --no-email-filter --output .tmp/test_leads.json
Verification
.tmp/test_leads.jsonFull Scrape
python3 ./scripts/scrape_apify.py --query "INDUSTRY" --location "LOCATION" --max_items TOTAL_COUNT --no-email-filter --output .tmp/leads.json
[Optional] LLM Classification (for complex niches)
python3 ./scripts/classify_leads_llm.py .tmp/leads.json --classification_type product_saas --output .tmp/classified_leads.json
Upload to Google Sheet
python3 ./scripts/update_sheet.py .tmp/leads.json --title "Leads - INDUSTRY"
Enrich Missing Emails
python3 ./scripts/enrich_emails.py SHEET_URL
Test Scrape (same as above with 25 items)
Parallel Full Scrape
python3 ./scripts/scrape_apify_parallel.py \
--query "INDUSTRY" \
--total_count 4000 \
--location "United States" \
--strategy regions \
--no-email-filter
Geographic partitioning is automatic:
Continue with steps 4-6 from small scrapes
The ONLY deliverable is the Google Sheet URL. Local JSON files in .tmp/ are temporary intermediates.
.envRequires in .env:
APIFY_API_TOKEN=your_token
GOOGLE_APPLICATION_CREDENTIALS=path/to/credentials.json
ANTHROPIC_API_KEY=your_key
ANYMAILFINDER_API_KEY=your_key
Use this skill for requests related to LangGraph in order to fetch relevant documentation to provide accurate, up-to-date guidance.
Add new Modal webhooks for event-driven execution. Use when user asks to create a webhook, add an endpoint, or set up event triggers.
MUST READ before writing or modifying ADK agent code. ADK API quick reference for Python — agent types, tool definitions, orchestration patterns, callbacks, and state management. Includes an index of all ADK documentation pages. Do NOT use for creating new projects (use adk-scaffold).
MUST READ before deploying any ADK agent. ADK deployment guide — Agent Engine, Cloud Run, GKE, CI/CD pipelines, secrets, observability, and production workflows. Use when deploying agents to Google Cloud or troubleshooting deployments. Do NOT use for API code patterns (use adk-cheatsheet), evaluation (use adk-eval-guide), or project scaffolding (use adk-scaffold).
MUST READ before setting up observability for ADK agents or when analyzing production traffic, debugging agent behavior, or improving agent performance. ADK observability guide — Cloud Trace, prompt-response logging, BigQuery Agent Analytics, third-party integrations, and troubleshooting. Use when configuring monitoring, tracing, or logging for agents, or when understanding how a deployed agent handles real traffic.
MUST READ before creating or enhancing any ADK agent project. Use when the user wants to build a new agent (e.g. "build me a search agent") or enhance an existing project (e.g. "add CI/CD to my project", "add RAG").