4-Platform Lead Scraper — Prompt Pack

What this pack does

You do not need a $200/mo scraper to build a first-pass lead list. These four workflows use AI plus public pages you can open manually (or via your own compliant automation). Output is always a structured table you can paste into Sheets, Airtable, or your CRM.

Compliance note: Scrape only what you are allowed to access. Respect robots.txt, platform Terms of Service, and GDPR/CAN-SPAM when you email anyone. This guide is for research and outbound prep — not spam.

The four platforms

| Platform | Best for | Typical fields |

|----------|----------|----------------|

| LinkedIn | Decision-makers, titles, company size | Name, title, company, geo |

| Google Maps | Local service businesses | Business, phone, site, reviews |

| Company websites | Emails, team pages, tech stack | Contact, about, pricing signals |

| Niche directories | Vertical lists (Clutch, G2, associations) | Vendor name, category, region |

Workflow 0 — ICP brief (run once)

Before scraping, lock your ideal customer profile:

Define my ICP:
- Industry: [e.g. commercial HVAC]
- Geo: [city / state / remote]
- Company size: [employees or revenue band]
- Buyer title: [owner, ops manager, etc.]
- Disqualifiers: [franchise HQ only, no website, etc.]

Output: 5-bullet ICP + 10 keyword phrases I should search.

Platform 1 — LinkedIn search export

1. Run a LinkedIn search (People or Companies) with your ICP filters.
2. Copy the visible results page text (or export via Sales Navigator if you have it).
3. Paste into AI:

Extract leads from this LinkedIn results paste.
Columns: full_name | title | company | location | profile_url | fit_score_1-5 | fit_reason
Rules:
- Skip duplicates
- fit_score 1 = wrong industry, 5 = perfect ICP match
- If field missing, write UNKNOWN
Max rows: 50
[PASTE]

Platform 2 — Google Maps local list

1. Search Maps for [service] in [city].
2. Scroll and copy business names, ratings, and snippets (or use Google's export if available).
3. Prompt:

Turn this Google Maps paste into a lead table.
Columns: business_name | category | address | phone | website | rating | review_count | outreach_angle
outreach_angle = one sentence why they might need [your offer]
Flag businesses with no website as "digital gap"
[PASTE]

Platform 3 — Company site contact mining

For each target domain, open /about, /team, /contact. Copy visible text.

From this company website paste, extract:
- company_name | primary_contact_name | role | email | phone | linkedin_hint
- tech_signals (CMS, chat widget, booking tool if visible)
- personalization_hook (one specific fact for cold email)
Do not invent emails. If not on page, mark email: NOT_FOUND
[PASTE]

Platform 4 — Directory sweep

Pick one directory your buyers use (Clutch, G2, industry association member list). Copy listing blocks.

Parse directory listings into:
company | category | location | website | size_hint | directory_url | icp_match_y/n | notes
Sort icp_match y first. Dedupe by domain.
[PASTE]

Merge and dedupe prompt

After all four passes:

Merge these four CSV tables. Dedupe by company domain (normalize www).
Add column: source_platform
Add column: priority (high/medium/low) using ICP: [paste ICP]
Output final CSV only, max 100 rows, high priority first.
[PASTE TABLES]

Qualification checklist

• ICP written before any search
• Every row has a source (URL or platform)
• No invented emails or phone numbers
• fit_score or priority applied
• Personalization hook ready for top 20 rows

Outreach prep (optional next step)

For these 10 high-priority leads, write a 3-line cold email each:
Line 1: specific hook from their site/reviews
Line 2: one outcome we deliver
Line 3: soft CTA (15-min call / reply yes)
Tone: direct, no hype. Max 90 words each.
[PASTE TOP 10 ROWS]

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