Tap into one of the world’s most influential business directories with our Yelp scraper. ScrapeIt delivers structured company data — including contacts, reviews, and service info — formatted and filtered to match your specific project goals.
ScrapeIt doesn’t just mirror Yelp’s listings — we extract only what’s relevant to your use case. You define the business categories, regions, or filters; we handle pagination, review parsing, and dynamic elements. The result? A clean, structured dataset delivered in your preferred format — whether CSV, Excel, or JSON.
With the Yelp data scraper from ScrapeIt, you get a complete snapshot of each business listed on Yelp, including its name, physical address, GPS coordinates, phone number, and website. We also capture available emails, links to social media profiles, and business categories with relevant tags. Descriptions, service highlights, operating hours, customer ratings, number of reviews, price range, and amenities are all included. This structured company data is formatted to suit your needs — whether for a lead database, competitor mapping, or local market intelligence.
Yelp profiles often include far more than just contact info — and our Yelp Scraper digs into those deeper layers. We capture owner responses to reviews, the number of uploaded photos, rating breakdowns, and indicators like “claimed” or verified status. In many cases, we also extract extended metadata such as menu URLs, reservation options, or delivery partnerships. These additional data points help uncover insights into engagement, reputation, and business scope — especially useful for sectors like hospitality, wellness, and local services.
Founded in 2004, yelp.com has evolved from a simple review site into a rich platform for discovering and evaluating local businesses. With tens of millions of listings and over 200 million user reviews worldwide, it’s especially influential in North America, while steadily growing its footprint in the UK, Germany, and Australia.
Yelp covers a vast range of categories — from dentists, HVAC services, and locksmiths to gyms, restaurants, and hair salons. Business profile pages offer much more than basic info: users can browse photos, see “Popular Dishes”, filter by tags like Black-owned or women-owned, and even book reservations or request quotes directly.
All of this data — including reviews, check-ins, ratings, and user uploads — is user-generated and can be extracted by ScrapeIt as structured, filtered datasets. Businesses manage their listings through Yelp for Business, while users contribute valuable content that reflects real-world behavior.
While Yelp does offer a public API, it’s heavily rate-limited and lacks the granularity of full extraction. With advanced search filters like price range, location, business hours, and features, Yelp is more than a directory — it’s a behavior-rich discovery engine packed with signals for local market analysis.
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Developers
Customers
Pages extracted
Hours saved for our clients
Customized scraping setup for Yelp — faster and cheaper than building a solution from scratch.
Data limits (rows): up to 10%
Iterations: up to 3
Custom requirements: Yes
Data lifetime: up-to-date
Data quality checks: Yes
Delivery deadline: 1-2 working days
Output formats: CSV, JSON, XLSX
Delivery options: e-mail
Yelp offers more than just reviews — it’s a source of detailed business listings, customer sentiment, and competitive insight. Companies often scrape Yelp to extract this valuable data in a structured format, enabling smarter outreach and location-based targeting. Whether you're segmenting leads by rating, service type, or geography, ScrapeIt helps you access exactly what you need. Using a purpose-built Yelp web scraper, we gather and organize the data so it’s ready for your workflow — from market analysis to CRM integration. All signals, from reviews to engagement trends, are delivered cleanly and ready for action.
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Amazon provides valuable information gathered in one place: products, reviews, ratings, exclusive offers, news, etc. So scraping data from Amazon will help solve the problems of the time-consuming process of extracting data from e-commerce.
The use of sentiment analysis tools in business benefits not only companies but also their customers by allowing them to improve products and services, identify the strengths and weaknesses of competitors' products, and create targeted advertising.
No need to build scrapers or navigate rate limits — we’ve already handled the technical side. Our team extracts Yelp business data according to your criteria and delivers it in a clean, structured format that fits right into your workflow. You define what matters: specific regions, categories, or review thresholds — we take care of the rest. From data mapping to content filtering, everything is customized so you get only what’s relevant. This saves hours of manual research and ensures consistency across even the largest datasets.
Yes — whether you need beauty salons in Los Angeles, HVAC companies in Texas, or only 5-star venues, we apply your filters before data extraction to keep results precise and relevant.
Besides standard contact details, we can extract business categories, service info, opening hours, ratings, total reviews, review excerpts, and even owner replies.
Lead generation teams, market researchers, and agencies use Yelp data to build B2B prospecting lists, monitor local competition, or map service saturation in key regions.
Your files come clean and structured — formatted for seamless use in CRMs, data tools, or outreach platforms. We support CSV, Excel, and JSON.
Each extraction is done on demand, so the data reflects the latest listings, edits, and user activity available at the time of processing.
1. Make a request
You tell us which website(s) to scrape, what data to capture, how often to repeat etc.
2. Analysis
An expert analyzes the specs and proposes a lowest cost solution that fits your budget.
3. Work in progress
We configure, deploy and maintain jobs in our cloud to extract data with highest quality. Then we sample the data and send it to you for review.
4. You check the sample
If you are satisfied with the quality of the dataset sample, we finish the data collection and send you the final result.
Scrapeit Sp. z o.o.
10/208 Legionowa str., 15-099, Bialystok, Poland
NIP: 5423457175
REGON: 523384582
