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Google Reviews ScraperPreview of Google review data you can extract — including review text, star ratings, dates, language, and author information.
This is a 1-row preview. You can download the full dataset with 100 free rows below.
Extract real customer reviews from Google Maps listings with powerful filtering options — including keywords, minimum rating, date, and more. Ideal for sentiment analysis, competitor monitoring, or product research.
Whether you're analyzing feedback or gathering testimonials at scale, our review scraper gives you structured, clean data with no code required.
Filter by keywords, rating, language, and review date
Export detailed review content in CSV, JSON, or Excel
Get user names, ratings, timestamps, and text
Ideal for sentiment analysis and product feedback
Pay only per extracted row — no subscriptions
Enter keywords like “Coffee shop” and choose a location (city, region, or country) where you want to collect reviews.
Set filters like minimum rating, language, keywords, and date to extract only the most relevant reviews.
Export structured review data in CSV, JSON, or Excel format — ready for insights, reporting, or automation.
Our google review scraper turns public Google Maps reviews into a clean, analysis-ready dataset—perfect for sentiment analysis, reputation tracking, product research, and competitor insights.
Precise review targeting
Filter by rating thresholds, language, date range, and keywords to scrape google reviews that match your research scope.
Modern, resilient pipeline
Cloud-scaled collection with smart retries/throttling for dense categories and high-volume review profiles.
Structured, research-ready schema
Core fields include: BusinessName, Place_id/Place_link, Review_id, Rating (stars), Review_text, Review_date, Language, Author_name, Author_id/Author_link, Owner_response (when present).
Speed to insight
Go from raw feedback to actionable findings in minutes—plug into BI, NLP, or dashboards without custom scripts.
Predictable budgets (pay-per-row)
Transparent $0.001 per row with no subscriptions—pay only for the reviews actually returned.
Scalable by design
Batch many places or categories; re-run the same preset later to refresh time windows for trend lines.
Deeper competitive signals
Compare themes, star distributions, and velocity of new reviews across competitors/regions.
Compliance-aware approach
We work with publicly available content; you control downstream use per platform policies and regional regulations.
That's why our service will be useful to you.
Our scraping tool is trusted by professionals across multiple industries to power insights, automation, and decisions.
Analyze local businesses, competitors, and trends with real-time location data.
Plot POIs on maps for logistics, planning, and expansion strategies.
Scrape target areas for contact data to boost campaigns or outreach.
Find and qualify business leads by category, location, and service area.
Explore underserved regions or locate potential partners and sites.
Offer insights or build custom data-driven tools for clients.
Extract structured reviews from Google Maps to fuel sentiment analysis, CX playbooks, local SEO, and competitive research.
Quantify praise and pain points from Review_text and star Ratings. Track shifts after launches, pricing changes, or policy updates.
Watch star trends and review velocity; surface spikes by Language or keywords to respond faster.
Compare themes and distributions across competitors, cities, or categories to spot gaps and opportunities.
Mine recurring complaints, requests, and context to shape roadmaps and documentation.
Use authentic review language to craft page copy and FAQs that reflect real customer questions.
Feed Review_text into clustering/embeddings to quantify themes at scale and build trend dashboards.
Common formats for smooth handoff. Stable identifiers (Place_id, Review_id) keep joins and deduping safe in CRM/BI.
We provide publicly available content in a structured format. Use responsibly under platform terms and regional laws.
Use our data in ways even we haven’t imagined — plug it into your workflows, mix with any tools, and turn hours into minutes. Save time and money with our service.
No subscriptions. No plans. Pay only for what you use.
Affordable data extraction — just $0.001 per row!
Each row includes platform-specific fields — e.g. Maps (name, phone, website, address), YouTube (text, author, likes), Reddit (title/text, author, score), and so on.
Estimated scraping time: a few seconds
Download your data instantly — no waiting or emails.
Each row includes precise coordinates and full address.
No subscriptions, pay only for the data you need.
Narrow down results by city, category, or country.
Export in CSV or JSON format, perfect for devs & analysts.
We clean and verify all data before delivery.
Launch your first scrape in seconds. No sign-up loops. No subscriptions. Just precise data — when you need it.