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]

---

More free operator playbooks live in the MyGearHut library. Join The Gear Drop if you want the next prompt pack dropped in your inbox.