Observed Signal · May 21, 2026 · Product Adoption · Source: https://martechseries.com/feed/ · Impact: 1/5 · Sentiment: Positive
Outscraper Adoption Grows for Google Maps Scraper
Outscraper reported increased adoption of its Google Maps Scraper as more agencies, sales teams, marketers, recruiters and researchers use automated tools to collect publicly available business listings for business intelligence. The cloud-based scraper extracts Google Maps data fields such as company names, phone numbers, websites, addresses, business categories, ratings and reviews. Use cases cited include lead generation, market analysis, local SEO research and multi-location prospecting. Outscraper has expanded integrations and export capabilities so collected data can be pushed into CRM systems, outreach tools, spreadsheets and reporting platforms to support scalable, automated location-based data workflows.
Vendor press release about product adoption; relevant to location-data and lead-gen workflows but limited strategic impact on the broader AdTech industry.
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Key Takeaways & Evidence Grounding
- Outscraper announced increased adoption of its Google Maps Scraper.
- The tool extracts publicly available Google Maps business information (names, phone numbers, websites, addresses, categories, ratings, reviews).
- Primary users include agencies, sales teams, marketers, recruiters and researchers.
- Common use cases are lead generation, market analysis, local SEO research and business intelligence.
- Outscraper provides a cloud-based platform with integrations and export options for CRM systems, outreach tools, spreadsheets and reporting platforms.
Connected Companies & Entities
1 Entity mappedOntology Mapping & Concepts
Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
Leadsscraper.io Launches Google Maps Data Scraper
Leadsscraper.io has launched a Google Maps Data Scraper to help sales, marketing, and research teams collect structured, publicly available business information from Google Maps. The tool extracts fields such as company names, addresses, phone numbers, websites, ratings, reviews, categories, hours, and geographic coordinates, and allows exports into common formats for CRM systems, spreadsheets, and analytics. Users can search by category, keyword, city, postal code, or geographic area. Leadsscraper.io positions the product as part of a broader suite of lead-generation tools for building targeted local lead lists and conducting market and competitor research.
AI-Powered Google Maps Scraper for Lead Generation
A developer post describes GMapsScraper AI (gmapsscraper.io), a SaaS tool that uses a headless browser plus AI to extract and structure local business data from Google Maps for lead generation. The author details the tech stack (Next.js 14 frontend, Cloudflare Workers, Supabase, and a Go-based scraper on Google Cloud Run), engineering challenges (rate limits, data accuracy, speed) and their solutions (rotating proxies, randomized delays, browser fingerprint rotation, AI-based normalization, parallel scraping with a job queue). Reported results include 200+ leads per search, average responses under 30 seconds, and support for 18 languages. The product offers CSV export for CRM import and a free trial with no credit card required.
Developer Reaches 100 Users for Korean Data Scrapers
A developer publishing Korean data scrapers on Apify reports reaching 100 distinct accounts that ran at least one job against Korean sources (Naver, Melon, Musinsa, Daangn, Bunjang, Yes24 and others). The portfolio (described as 13 Korean scrapers) accumulated 14,541 total runs. Usage is concentrated: Naver Place-related scrapers represent 40 users, while the naver-news-scraper produced 10,942 runs from seven users. The author highlights different usage patterns (few high-volume automation pipelines vs. many low-volume researchers), emphasizes 7-day active users as the real engagement signal, and notes a long tail of niche scrapers. The post also mentions an upcoming Show HN submission and that the author will monitor 7-day active users for ongoing signal.
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