서비스에 대한 튜토리얼
Building a local business database in 2026 requires more than collecting listings from Google Maps. This guide explains how to turn public business data into structured, searchable dataset for lead generation, market analysis, and operations using APIs, tools, public records, and internal data while staying compliant and scalable.
Google Maps review scraping turns public customer feedback into structured data for competitor analysis and market research. The article shows how reviews reveal service issues, pricing concerns, operational gaps, and customer sentiment across industries and locations.
Ratings, review text, dates, velocity, owner responses, and engagement signals provide measurable inputs for benchmarking competitors and identifying underserved markets.
Scraping businesses by industry from Google Maps offers a direct path to structured local business intelligence. The article explains how automated extraction replaces slow manual research and reduces errors tied to traditional methods.
Google Maps holds extensive industry and location data, which supports lead generation, market research, competitive analysis, and expansion planning when collected in a structured format.
Negative reviews expose where businesses struggle to meet the expectations of customers. Patterns that will expose the urgency, budget pressure, and decision gaps. The repetition, recency, and relevance become a qualifying factor for negative reviews.
In collecting reviews at scale and analyzing them with structured data, you approach businesses with evidence, not opinion. This positions you as a problem solver who understands what is happening in reality. Tools such as Outscraper support this process by turning unstructured feedback into usable insight across locations and industries.
Sales opportunity discovery improves when you anchor outreach on verified pain points, clear patterns, and practical resolution paths. Businesses respond faster when they recognize their own issues reflected back with clarity and context. Negative reviews then shift from reputation risk to a starting point for informed, credible sales conversations.
Outscraper for Real Estate Lead Generation focuses on identifying active participants who publicly operate through Google Maps business profiles. It extracts structured business data directly from Google Maps listings.
It also extracts business name, primary and secondary categories, physical address, phone number, website, ratings, review count, and verified email when available. A business listing with recent reviews and consistent ratings signals ongoing transaction flow and operational presence.
Scraping raw data only tells you that a business exists; it doesn’t help you reach the person in charge. For example, a raw list of doctors provides clinic names and front-desk numbers, but Outscraper’s Contacts & Leads Enrichment uncovers the specific physicians, their roles, and verified personal emails.
By turning static listings into actionable profiles with direct contact points, we help you bypass gatekeepers and move straight to the conversation.
영업팀은 Google 지도 스크래핑을 사용하여 공개 비즈니스 세부 정보를 수집하고 이를 각 지역의 실제 활동을 반영하는 집중 리드 목록으로 전환합니다. 이를 통해 새로운 기회를 찾고, 보다 정확하게 지역을 계획하고, 이상적인 고객 프로필과 일치하는 비즈니스에 도달할 수 있습니다.
When you configure a webhook URL in your Outscraper integration settings, our system will automatically send a POST request with the scraped results to that URL whenever a task/reuqest is finished. For security, every webhook payload is signed using your Outscraper API key. This allows you to verify that the 자세히 보기
모두가 쫓고 있는 “활성” 리드를 차지하기 위한 치열한 경쟁에 좌절하셨나요? 진정한 비밀 무기는 모두가 간과하고 있는 Google 지도의 “폐업한” 비즈니스일 수 있습니다. Outscraper의 서비스를 사용하면 코딩 기술 없이도 폐업한 비즈니스 리드를 쉽게 다운로드하여 이러한 특이한 리드를 활용할 수 있습니다.
Outscraper는 시장 분석, 리드 생성, 고객 피드백에 사용되는 구글 지도, 구글 검색, 리뷰 및 기타 디렉토리를 활용하여 CRM을 개선하는 사용자 친화적이면서도 합리적인 가격의 서비스입니다. 수익 증대를 위한 양질의 편리한 방법입니다.