Gmplus is a powerful and free Google Maps scraper designed for effortless lead generation. As a browser extension, it automatically extracts comprehensive business data, including names, phone numbers, emails, addresses, and social media profiles from Google Maps listings. Export your targeted leads to CSV/Excel in seconds, streamlining your sales and marketing efforts without any coding required.
Zipscore.ai is an AI-powered platform designed for marketers and businesses to locate and analyze target market areas in the United States in under 30 seconds. It provides detailed demographic data associated with specific zip codes, enabling hyper-targeted advertising campaigns, market research, and strategic business planning. Users can easily search, filter, and download zip code lists to optimize marketing spend and increase ROI.
Product overview
Gmplus Product overview
Gmplus is a powerful and free Google Maps scraper designed for effortless lead generation. As a browser extension, it automatically extracts comprehensive business data, including names, phone numbers, emails, addresses, and social media profiles from Google Maps listings. Export your targeted leads to CSV/Excel in seconds, streamlining your sales and marketing efforts without any coding required.
Zipscore.ai Product overview
Zipscore.ai is an AI-powered platform designed for marketers and businesses to locate and analyze target market areas in the United States in under 30 seconds. It provides detailed demographic data associated with specific zip codes, enabling hyper-targeted advertising campaigns, market research, and strategic business planning. Users can easily search, filter, and download zip code lists to optimize marketing spend and increase ROI.
Detailed feature comparison
| Feature | Gmplus | Zipscore.ai |
|---|---|---|
| Primary category | Data Extraction | Market Research |
| Added | 2025-09-24 | 2025-09-11 |
| Pricing | Freemium | Freemium |
| Official website | gmplus.io | zipscore.ai |
| Product type | Browser extension | Website |
| Performance data | ||
| User rating | Not verified | Not verified |
| Comments | 0 | 0 |
| Monthly visits | 21K | 10.1K |
| Monthly growth | -5.5% | 20.9% |
| Favorites | 98 | 129 |
| Details | View details | View details |
Gmplus vs Zipscore.ai monthly traffic
Compare Gmplus and Zipscore.ai by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the Gmplus vs Zipscore.ai monthly traffic comparison, Gmplus currently shows 21K visits and Zipscore.ai shows 10.1K; Gmplus has about 2.1 times the visible traffic of Zipscore.ai, an absolute difference of about 10.9K visits. This reflects visible reach, not feature quality or paid users.
Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.
Gmplus monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 30.6K Monthly visits
- 2026/1: 31.2K Monthly visits
- 2026/2: 26.2K Monthly visits
- 2026/3: 28.6K Monthly visits
- 2026/4: 22.3K Monthly visits
- 2026/5: 21K Monthly visits
Top regions
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 26.04% | 5.5K |
| 🇮🇳India | 25.94% | 5.5K |
| 🇦🇺Australia | 19.55% | 4.1K |
| 🇧🇷Brazil | 14.68% | 3.1K |
| 🇩🇪Germany | 13.79% | 2.9K |
Search keywords
Zipscore.ai monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 23.3K Monthly visits
- 2026/1: 12.7K Monthly visits
- 2026/2: 8.3K Monthly visits
- 2026/3: 11.9K Monthly visits
- 2026/4: 8.3K Monthly visits
- 2026/5: 10.1K Monthly visits
Top regions
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 31.51% | 3.2K |
| 🇩🇪Germany | 27.07% | 2.7K |
| 🇮🇳India | 21.58% | 2.2K |
| 🇵🇰Pakistan | 13.48% | 1.4K |
| 🇬🇧United Kingdom | 6.36% | 641 |
Search keywords
Usage comparison
Compare the core capabilities of Gmplus and Zipscore.ai
Gmplus Core features
Zipscore.ai Core features
Use cases
Gmplus Use cases
Zipscore.ai Use cases
Best suited roles
Gmplus Best suited roles
Zipscore.ai Best suited roles
Gmplus vs Zipscore.ai:In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth Gmplus vs Zipscore.ai comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Gmplus is primarily listed under “Data Extraction”, while Zipscore.ai is primarily listed under “Market Research”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Primary category (Gmplus: Data Extraction; Zipscore.ai: Market Research); Product type (Gmplus: Browser extension; Zipscore.ai: Website); Monthly visits (Gmplus: 21K; Zipscore.ai: 10.1K); Monthly growth (Gmplus: -5.5%; Zipscore.ai: 20.9%); Favorites (Gmplus: 98; Zipscore.ai: 129). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the Gmplus vs Zipscore.ai monthly traffic comparison, Gmplus currently shows 21K visits and Zipscore.ai shows 10.1K; Gmplus has about 2.1 times the visible traffic of Zipscore.ai, an absolute difference of about 10.9K visits. This reflects visible reach, not feature quality or paid users.
Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.
If public market visibility is an important first-pass criterion, investigate Gmplus first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.
Product positioning, use cases, and roles
Gmplus and Zipscore.ai currently overlap in shared categories: Lead Generation; shared tags: lead generation; shared roles: Data Analyst, Marketing Manager, Market Researcher, Sales Representative, and Small Business Owner. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
Gmplus's unique categories/tags are Data Extraction, Automation, B2B leads, Bing Maps scraper, data extractor, data scraping, email finder, and Google Maps scraper; Zipscore.ai's are Market Research, Advertising, advertising, data analysis, demographic data, google ads, hyper-local advertising, and local marketing. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.
What ratings, comments, and favorites can tell you
Gmplus has no verified rating, 0 comments, 98 favorites, and 87 likes;Zipscore.ai has no verified rating, 0 comments, 129 favorites, and 127 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Selection guidance by actual need
When to evaluate Gmplus first
Put Gmplus on the priority trial list when the task aligns with “Data Extraction” and especially Data Extraction, Automation, B2B leads, Bing Maps scraper, data extractor, and data scraping, or the users include Lead Generation Specialist. This follows recorded positioning and does not imply unlisted capabilities are absent.
Gmplus also currently records: pricing is freemium, product type is browser extension, 21K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
When to evaluate Zipscore.ai first
Put Zipscore.ai on the priority trial list when the task aligns with “Market Research” and especially Market Research, Advertising, advertising, data analysis, demographic data, and google ads, or the users include Advertising Specialist and Real Estate Agent. This follows recorded positioning and does not imply unlisted capabilities are absent.
Zipscore.ai also currently records: pricing is freemium, product type is website, 10.1K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
How to validate the recommendation before deciding
The available data describes positioning, public visibility, and community signals, but it cannot prove output quality, speed, integration effort, privacy, or long-term cost in your workflow. Before deciding, run the same representative tasks in Gmplus and Zipscore.ai, then record completion time, accuracy, manual corrections, and the real paid threshold. A like-for-like trial turns this comparison into a defensible adoption decision.
Comparison FAQ
How should I choose between Gmplus and Zipscore.ai?
Where does this comparison data come from?
What do unknown fields mean?
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