Tips for Better Results
Practical tips for lead scrapers — Maps, Facebook Ads Library, Amazon, and Google SERP. Lead credits are shared across tools that use them.
Google Maps
- Tight geography — Smaller cities or districts reduce noise vs. huge metros unless you filter tightly.
- Specific categories — "Plumber" beats "home services" when you need homogenous rows.
- Pilot first — Run a small pull, spot-check addresses and phones, then widen.
Facebook Ads Library
- Advertiser or page — Start from a known brand page when you want coherent creative themes.
- Narrow timeframe — Recent ads only if you care about what's live now.
- Label exported columns — Keep a note of your filter settings so exports stay comparable week to week.
Amazon
- Precise query — Include brand, model, or use-case words to avoid unrelated SERP clutter.
- Compare like with like — Export batches with consistent sort or filters if you track competitors over time.
Google SERP
- Long-tail keywords — Easier to interpret clusters than single-word head terms.
- Intent — Pair "near me" or city names when local intent matters for your list.
Credits & quality
Watch credit estimates before large runs. Empty columns often mean the source didn't expose data — adjust queries or geography rather than burning credits on duplicate pulls.
Compliance
Use exports for lawful sales and marketing; honor opt-outs, anti-spam laws, and platform terms. When in doubt, get legal advice for your jurisdiction and use case.