Most solo founders want more leads, not more tabs. You can scrape public data to find firms that fit your offer, then move them into a simple outreach and opt-in flow.
This fits the EntreResource style well. You start with a tight use case, then run a short, repeatable system. You can pair the results with a lead magnet, a ConvertKit form, and a clean follow-up sequence.
Pick a lead source that matches your offer
Start with one market and one clear “fit” signal. For a web design offer, that might mean stores with slow sites. For a bookkeeping offer, that might mean firms that hire for finance help. Keep the signal simple so you can scrape it.
Use sources that already sort by niche and place. Public lists work best for this. Try local biz dirs, review sites, job boards, event lists, or “best of” posts. You can also pull results from search pages for tight queries like “dentist + city + online booking.”
Set rules before you grab data. Only collect what you plan to use. Skip data that adds risk with no gain, like personal phone numbers. Aim for firm name, site URL, city, and one role email when a site shows it.
Build a simple scraping workflow that won’t get blocked
Most blocks come from speed and repeat hits from one IP. Fix both with pacing and good IPs. Your first goal stays simple: fetch pages with a low error rate.
Pick the lightest tool that works. For small runs, a script that pulls HTML and parses it can do the job. For heavy sites that render with JavaScript, use a headless browser, but keep runs short.
Choose proxies based on the target. Data center proxies cost less and run fast, but some sites flag them. Residential proxies blend in better, but they cost more and run slower. Rotate IPs on a set count, not on every hit, so the site sees a real pattern.
Test your pool before a long job. Run each IP through a proxy checker. Then log status codes, load time, and block pages in your scraper.
Use limits that match human use. Add a wait of a few sec between page loads. Cap total pages per hour per domain. Keep cookies and headers steady within one session so you do not look like a bot swap.
Clean the data so your email tool stays healthy
Raw scraped rows do not help until you clean them. You want one firm per row and one best contact path. Merge dupes, fix bad URLs, and split city and state into their own fields.
Keep your list lean to protect inbox health. You can filter out sites with no contact page. You can also tag leads by niche, city, and “fit” signal. That makes your first email short and on point, which lifts reply rates.
Do not dump scraped emails into your main list. Most email service tools expect opt-in. Use scraped data to send a first, direct outreach from a cold email set up, or use it to shape ads and content that drive opt-ins.
Stay on the right side of rules and trust
Cold outreach has real rules in the US. CAN-SPAM lets you email firms, but you must include a real sender, a clear opt-out, and no fake subject lines. The FTC can fine up to $51,744 per email for spam rule breaks, so set this up once and keep it clean.
If you touch EU data, GDPR raises the stakes. Fines can reach €20 million or 4% of global sales, based on which is higher. Keep a record of what you collect, why you collect it, and how you honor delete asks.
Build trust with the same mindset Nate uses in founder-led modules. Show the work, keep steps small, and set a quick win. Use scraped data to spot who needs your help. Then offer a lead magnet, a simple audit, or a one-page checklist that earns the opt-in.
Run one small batch first. Track block rate, bounce rate, reply rate, and opt-out rate. Adjust your query, your pacing, and your pitch until the system feels boring. Boring means it runs each week without drama.