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Field notes on scraping,
quietly useful.

Practical guides, walkthroughs and small workflow ideas — from the team and the people running scrapes every day.

Guide · 8 min read

How to build a B2B lead list from Google Maps without writing code

A practical, copy-and-paste workflow for marketers — fields to pick, filters to set, and how to keep your list deliverable.

Walkthrough · 6 min read

Tracking SERP rank on 50+ queries every week — a low-effort workflow

The exact setup we recommend for local SEO teams: queries, regions, devices, alerts — and what to do with the data after.

Strategy · 5 min read

Reading reviews at scale — turning sentiment into a roadmap

From spreadsheet to product decisions: how to cluster, score and route reviews so the loudest signal becomes the next ticket.

Guide · 10 min read

Scraping all Google reviews in 2025 — past the 5-review limit

Why the Maps UI hides most reviews, what's actually accessible, and how Livescraper exposes the full set.

Strategy · 7 min read

How local SEO and data scraping work together to drive growth

The case for combining rank-tracking, review monitoring and listing audits as one weekly workflow.

Tutorial · 6 min read

Extract restaurants data from Google Maps in five minutes

A fast walkthrough of the Maps Scraper for hospitality, food-tech and field marketing teams.

Strategy · 5 min read

Why pay-per-row beats subscription pricing for scraping

The math behind transparent, on-demand pricing — and why it works better for spiky workloads.

Guide · 9 min read

Tracking closed businesses on Google Maps — and why it matters

How to detect status changes early and what teams in real estate, franchising and field sales do with the signal.

Walkthrough · 7 min read

Extracting hotel data from Google Maps for revenue management

A walkthrough for hospitality teams: what to scrape, how to refresh it, and how to feed it into your pricing model.

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All posts · 12 articles

Field notes on
scraping & lead gen.

Guide

How to scrape Google Maps without code

Step-by-step: pull every restaurant, dental clinic or business in any city from Google Maps — without writing a line of code. Free 500 rows monthly.

Comparison

Google Maps API vs scraping — which to use in 2026

Honest comparison: when to use Google's official Places API vs a no-code scraper. Pricing, freshness, review caps, setup time — all in one table.

Local SEO

Build a local SEO weekly report in 60 seconds

Free template + step-by-step setup for a fully-automated weekly local-SEO report — SERP rank, reviews, local pack — across all your client locations.

Lead gen

How to extract emails from a list of websites

Drop a CSV of domains into Livescraper Email Scraper, get back deliverable emails + phones + socials. With validation built in. Ethical + GDPR-aligned.

Reputation

How to monitor Google reviews across 100+ locations

Multi-location operators: catch every new Google review within 90 minutes, route negatives to support, build a recovery loop. Step-by-step + Slack template.

Sales

Lead gen playbook for early-stage SaaS startups

If you're a 1-3 person SaaS team without an SDR budget, here's the build-it-yourself outbound playbook. Tools: Livescraper + Gmail + a Sheet. Total cost: ~$30/mo.

Pricing

How much does web scraping actually cost in 2026?

Per-row, per-month, per-engineer: the real cost of scraping vs buying APIs vs building yourself. Updated 2026 with current Apify, ScraperAPI, Bright Data prices.

Use case

How to pull every restaurant in a city

Common scraping use case: pull every restaurant in your target city by Google Maps, score them by category density, identify white space.

SEO

Track SERP rank on 50 queries weekly

Stop checking Google manually. Set up a weekly SERP scrape across 50 queries × 4 cities × 2 devices and email yourself a weekly Loom-style report.

Legal

Is web scraping legal in 2026?

We get asked this weekly. The honest answer with citations: yes for public data, no for personal/protected data, unclear for some grey areas. Updated 2026.

Tooling

CSV cleaning for cold outreach — the 5-minute checklist

Before you import a 1,000-row lead list to your sequencer, run this 5-step cleanup. Removes the 30-40% that would have bounced or marked you spam.

Strategy

Pay-as-you-go vs annual data contracts — what changes at scale?

When does an annual ZoomInfo or Apollo contract make sense vs pay-per-row scraping? The break-even depends on team size, freshness needs, and integration depth.