lead-gen-scraper
starsforks
How to install lead-gen-scraper?
nguyenphp/antigravity-marketing/lead-gen-scraper
$npx -y skills add nguyenphp/antigravity-marketing --skill lead-gen-scraperLead generation, prospect research, contact enrichment, and email finding strategies.
SKILL.md
| 1 | # Lead Generation Scraper |
| 2 | |
| 3 | > Find, collect, and enrich leads for your marketing campaigns. |
| 4 | |
| 5 | --- |
| 6 | |
| 7 | ## 🎯 What This Skill Does |
| 8 | |
| 9 | | Capability | Description | |
| 10 | |------------|-------------| |
| 11 | | **Find Leads** | Locate potential customers from LinkedIn, company websites, directories | |
| 12 | | **Enrich Data** | Add missing info like emails, phone, company details | |
| 13 | | **Build Lists** | Create targeted prospect lists for outreach | |
| 14 | | **Validate Contacts** | Verify emails and clean your lists | |
| 15 | |
| 16 | --- |
| 17 | |
| 18 | ## 1. Lead Sources |
| 19 | |
| 20 | ### Where to Find Leads |
| 21 | |
| 22 | | Source | Best For | Data Available | |
| 23 | |--------|----------|----------------| |
| 24 | | **LinkedIn** | B2B decision makers | Name, title, company | |
| 25 | | **Company websites** | Target accounts | Team pages, about | |
| 26 | | **Industry directories** | Niche markets | Company info | |
| 27 | | **Event attendee lists** | Engaged prospects | Registration data | |
| 28 | | **Job postings** | Hiring = budget | Tech stack, growth | |
| 29 | | **Review sites** | Software buyers | Company, industry | |
| 30 | |
| 31 | ### LinkedIn Search Tips |
| 32 | |
| 33 | | Filter | Use For | |
| 34 | |--------|---------| |
| 35 | | Job title | Decision makers | |
| 36 | | Company size | Right fit | |
| 37 | | Industry | Relevance | |
| 38 | | Geography | Local campaigns | |
| 39 | | Posted content | Active users | |
| 40 | |
| 41 | --- |
| 42 | |
| 43 | ## 2. Email Finding Patterns |
| 44 | |
| 45 | ### Common Email Formats |
| 46 | |
| 47 | | Pattern | Example | Frequency | |
| 48 | |---------|---------|-----------| |
| 49 | | first.last | john.smith@company.com | 35% | |
| 50 | | first | john@company.com | 20% | |
| 51 | | firstlast | johnsmith@company.com | 15% | |
| 52 | | flast | jsmith@company.com | 15% | |
| 53 | | first_last | john_smith@company.com | 10% | |
| 54 | | lastfirst | smithjohn@company.com | 5% | |
| 55 | |
| 56 | ### How to Find Email Pattern |
| 57 | |
| 58 | 1. Find one known email from the company |
| 59 | 2. Check the pattern used |
| 60 | 3. Apply same pattern to other contacts |
| 61 | 4. Verify before sending |
| 62 | |
| 63 | --- |
| 64 | |
| 65 | ## 3. Data Enrichment |
| 66 | |
| 67 | ### What to Enrich |
| 68 | |
| 69 | | Data Point | Source | Value | |
| 70 | |------------|--------|-------| |
| 71 | | **Email** | Pattern guess, tools | Direct contact | |
| 72 | | **Phone** | Company page, LinkedIn | High-touch outreach | |
| 73 | | **Company size** | LinkedIn, databases | Qualification | |
| 74 | | **Tech stack** | Job posts, BuiltWith | Relevance | |
| 75 | | **Funding** | Crunchbase | Budget indicator | |
| 76 | | **Recent news** | Google alerts | Conversation starter | |
| 77 | |
| 78 | ### Enrichment Workflow |
| 79 | |
| 80 | ``` |
| 81 | 1. Start with name + company |
| 82 | 2. Find LinkedIn profile |
| 83 | 3. Extract title, location |
| 84 | 4. Guess email pattern |
| 85 | 5. Add company data |
| 86 | 6. Verify email |
| 87 | 7. Add to CRM |
| 88 | ``` |
| 89 | |
| 90 | --- |
| 91 | |
| 92 | ## 4. List Building Strategies |
| 93 | |
| 94 | ### By Trigger Events |
| 95 | |
| 96 | | Trigger | Signal | Timing | |
| 97 | |---------|--------|--------| |
| 98 | | **Hiring** | Growth/budget | Check job boards | |
| 99 | | **Funding** | Money to spend | Monitor news | |
| 100 | | **New exec** | Change agent | 90-day window | |
| 101 | | **Expansion** | New needs | Office openings | |
| 102 | | **Tech adoption** | Problem aware | Job requirements | |
| 103 | |
| 104 | ### By Intent Signals |
| 105 | |
| 106 | | Signal | Meaning | |
| 107 | |--------|---------| |
| 108 | | Content downloads | Research phase | |
| 109 | | Pricing page visit | Evaluation phase | |
| 110 | | Competitor comparison | Decision phase | |
| 111 | | Case study views | Validation phase | |
| 112 | |
| 113 | --- |
| 114 | |
| 115 | ## 5. Email Verification |
| 116 | |
| 117 | ### Why Verify |
| 118 | |
| 119 | | Problem | Impact | |
| 120 | |---------|--------| |
| 121 | | Bounces | Hurts sender reputation | |
| 122 | | Spam traps | Blacklist risk | |
| 123 | | Invalid emails | Wasted effort | |
| 124 | |
| 125 | ### Verification Methods |
| 126 | |
| 127 | | Method | Accuracy | Cost | |
| 128 | |--------|----------|------| |
| 129 | | **Syntax check** | Basic | Free | |
| 130 | | **Domain check** | Medium | Free | |
| 131 | | **SMTP verification** | Good | Cheap | |
| 132 | | **Mailbox ping** | Best | Per email | |
| 133 | |
| 134 | --- |
| 135 | |
| 136 | ## 6. Tools Landscape |
| 137 | |
| 138 | ### Lead Finding |
| 139 | |
| 140 | | Tool | Use Case | |
| 141 | |------|----------| |
| 142 | | **LinkedIn Sales Navigator** | B2B prospecting | |
| 143 | | **Apollo.io** | Contact database | |
| 144 | | **ZoomInfo** | Enterprise data | |
| 145 | | **Hunter.io** | Email finding | |
| 146 | | **Clearbit** | Enrichment | |
| 147 | | **Lusha** | Direct dials | |
| 148 | |
| 149 | ### Verification |
| 150 | |
| 151 | | Tool | Use Case | |
| 152 | |------|----------| |
| 153 | | **NeverBounce** | Email verification | |
| 154 | | **ZeroBounce** | List cleaning | |
| 155 | | **Bouncer** | Real-time verify | |
| 156 | |
| 157 | --- |
| 158 | |
| 159 | ## 7. Compliance & Ethics |
| 160 | |
| 161 | ### What You CAN Do |
| 162 | |
| 163 | | ✅ Allowed | |
| 164 | |------------| |
| 165 | | Collect publicly available business info | |
| 166 | | Use professional networking data | |
| 167 | | Email people with legitimate interest | |
| 168 | | Request consent for marketing | |
| 169 | |
| 170 | ### What You CANNOT Do |
| 171 | |
| 172 | | ❌ Not Allowed | |
| 173 | |----------------| |
| 174 | | Scrape personal data without consent | |
| 175 | | Ignore unsubscribe requests | |
| 176 | | Buy sketchy email lists | |
| 177 | | Spam cold prospects | |
| 178 | |
| 179 | ### Regulations |
| 180 | |
| 181 | | Regulation | Region | Key Rule | |
| 182 | |------------|--------|----------| |
| 183 | | **GDPR** | EU | Consent required | |
| 184 | | **CAN-SPAM** | US | Opt-out honored | |
| 185 | | **CASL** | Canada | Express consent | |
| 186 | |
| 187 | --- |
| 188 | |
| 189 | ## 8. Outreach Templates |
| 190 | |
| 191 | ### Cold Email Framework |
| 192 | |
| 193 | ``` |
| 194 | Subject: [Personalized hook] |
| 195 | |
| 196 | Hi [Name], |
| 197 | |
| 198 | [Observation about their company/role] |
| 199 | |
| 200 | [Value proposition - 1 sentence] |
| 201 | |
| 202 | [Credibility - social proof] |
| 203 | |
| 204 | [Simple CTA - question or meeting] |
| 205 | |
| 206 | [Signature] |
| 207 | ``` |
| 208 | |
| 209 | ### Follow-up Sequence |
| 210 | |
| 211 | | Email | Timing | Focus | |
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