Google Maps Scraper vs Komo: Which Is Better in 2026?

Google Maps Scraper is a Chrome extension built for lead generation. Run a search on Google Maps and it captures the details that matter for outreach: business name, category, address, coordinates, phone number, website, email, social profile links (Instagram, Facebook, X, LinkedIn, YouTube), opening hours, reviews and ratings, plus Place ID and CID. It moves through every result page automatically, removes duplicate entries, and exports the list to CSV or XLSX so it drops straight into a CRM or spreadsheet. Sales teams use it to build prospect lists by city and category. Marketing agencies use it to find local clients for campaigns. Real estate researchers and local SEO specialists use it to map out competitors and businesses in a region. The free plan includes 200 leads, so you can test it on a real search before paying. Professional is $29.90 per month, or pay once for $69.90.

What problem it solves

Copying business details from Google Maps one listing at a time is slow and error-prone, and sales and marketing teams lose hours to it.

Alternatives & competitors

A focused Chrome extension for Google Maps lead lists, with CSV and XLSX export and a free tier of 200 leads.

Sales reps spend a shocking amount of time on research and admin — figuring out which accounts are worth pursuing, prepping for meetings, chasing follow-ups — instead of actually selling. Komo aims to automate all of that, positioning itself as 'the AI revenue engine' that runs revenue work from buyer-signal detection through deal closure.

Find the accounts worth chasing

Komo monitors markets for warm buying signals and scores accounts by fit and timing, so your team focuses on prospects who are actually likely to buy right now rather than blasting everyone equally. That signal-driven prioritization is where a lot of sales effort is won or lost — reaching the right account at the right moment dramatically improves outcomes, and Komo surfaces those moments automatically. It shares the AI-sales frontier with tools like Artisan and Lavender.

Research and prep, done for you

Komo generates research briefs and meeting-preparation materials automatically, so reps walk into conversations informed without spending an hour digging through LinkedIn and company sites. It also creates expansion briefs for growing existing accounts and provides personalized outreach drafts — turning the tedious research-and-writing grind into something the AI handles, freeing reps for high-value selling.

Manages the follow-through

Deals die in the gaps between touches, so Komo manages follow-up sequences automatically and integrates with email, calendar and CRM systems to surface qualified leads and keep execution clean. That means the pipeline stays warm and organized without reps manually tracking every next step — the administrative slippage that costs teams deals is largely automated away.

Built for clean pipeline

The overarching goal is quality pipeline with clean execution — letting revenue teams scale outbound without drowning in manual research and admin.

Who it's for

Komo suits sales leaders, revenue operations teams, SDRs, founders running outbound, and enterprises scaling outbound across multiple teams who prioritize pipeline quality.

Pricing

Komo offers a 7-day free trial and three tiers — Starter ($99/month), Growth ($399/month) and custom Enterprise — priced on action credits, account/contact volume, active Signal Agents and collaboration features. The trial lets you test the signal detection and research automation before committing.

The strategic shift Komo represents is moving reps from reactive research to proactive selling: instead of a rep deciding who to chase and then spending an hour prepping, the system surfaces the warm accounts and hands over the brief already written. Multiply that across a whole team and the time reclaimed is enormous — hours that were spent on manual research and admin get redirected into the actual conversations that move revenue.

Bottom line: Komo is an AI revenue engine that detects buyer signals, scores and researches accounts, drafts outreach and automates follow-up — offloading the research and admin grind so revenue teams can focus on actually closing deals.