SCRAPEGRAPHAI LEAD RESEARCH CHECKLIST Ken Designers ยท kendesigners.com/articles/scrapegraphai-business-leads-kenya/ Planning aid only. Not legal advice. Check each source's terms and current law. --------------------------------------------------------------- 1. IDEAL CUSTOMER (write before scraping anything) --------------------------------------------------------------- Industry: ____________ Size: ____________ Location: ____________ Signal that shows they need us NOW (tender / new branch / hiring / ____): _____________________________________________________________ Decision the data will support: _______________________________ --------------------------------------------------------------- 2. CHOOSE ONE PLAY --------------------------------------------------------------- [ ] Tender monitoring [ ] Expansion signals [ ] Hiring signals [ ] Supplier discovery [ ] Competitor price watch [ ] Catalogue enrichment [ ] Event exhibitor lists [ ] Review mining [ ] Sector directory [ ] Market mapping --------------------------------------------------------------- 3. SOURCE CHECKS (for every website you use) --------------------------------------------------------------- Source: ____________________ [ ] Terms of use allow automated access (or permission obtained) [ ] robots.txt checked [ ] Public pages only: no logins, no paywalls [ ] No attempt to get around blocks or bot protection [ ] Slow rate set (e.g. one page every 10 seconds); results cached --------------------------------------------------------------- 4. DATA PROTECTION (Kenya Data Protection Act, 2019) --------------------------------------------------------------- [ ] Collecting ORGANISATION data, not individuals' details [ ] Prompt excludes staff names / personal phones / personal emails [ ] Any personal data kept to the minimum, with a lawful basis [ ] No direct marketing without express consent + notice + easy opt-out [ ] Consent recorded (who, when, how) before adding to marketing lists [ ] Data retention period decided; unused data deleted --------------------------------------------------------------- 5. SET-UP --------------------------------------------------------------- [ ] Python 3.12+, virtual environment, scrapegraphai + playwright install [ ] Model chosen: [ ] local (Ollama: ________) [ ] hosted (________) [ ] Schema defined (fields: ________________________________) [ ] Tested on 10 known organisations; accuracy spot-checked: __/10 --------------------------------------------------------------- 6. QUALIFY AND ACT --------------------------------------------------------------- List size: ____ Qualified: ____ Top 20 loaded into CRM: [ ] [ ] Personal first message written for each, via published business channel [ ] Replies tracked; follow-up dates set Conversations started: ____ Meetings: ____ Deals: ____ --------------------------------------------------------------- 7. COSTS (per month) --------------------------------------------------------------- Pages processed: ______ x cost per page $______ = $______ (local model: ~$0; hosted model: ~$0.006 illustration; managed API: ~$0.01) Notes: