--- title: "Yelp Review Scraper: Best Tools to Export Yelp Business Reviews" description: "Compare five Yelp review scraper tools by pricing, features, export options, and anti-scraping considerations, including Apify and Outscraper." canonical: https://tryadlicio.com/blog/yelp-review-scraper --- # Yelp Review Scraper: Best Tools to Export Yelp Business Reviews Published 2026-02-21. https://tryadlicio.com/blog/yelp-review-scraper **Quick Answer:** The best Yelp review scrapers in 2026 are Apify Yelp Scraper (cloud-based, pay-per-use starting at ~$5/1,000 reviews), Outscraper (supports Yelp alongside Google Maps, pay-per-result), and Octoparse (visual point-and-click scraper with Yelp templates). For hands-off extraction, ScrapeHero offers managed scraping services. The DIY route — Python with BeautifulSoup or Selenium — works but requires proxy rotation and CAPTCHA handling to get past Yelp's aggressive anti-bot defenses. Note: Comment Exporter does not support Yelp. ## Why Scrape Yelp Reviews? Yelp remains one of the most influential review platforms for local businesses — restaurants, salons, contractors, medical offices, auto shops. Over 178 million reviews sit on the platform, and for many service-industry businesses, Yelp ratings directly influence foot traffic and revenue. Exporting those reviews into a structured format — CSV, JSON, or a spreadsheet — unlocks use cases that scrolling through the Yelp app never could: - **Competitive analysis for local businesses:** Export reviews from 10-20 competitors in your area. Identify what customers praise, what they complain about, and where the service gaps are. A dentist discovering that every nearby competitor gets complaints about billing transparency has a clear differentiator to advertise. - **Market research for the restaurant and service industry:** Product managers, franchise operators, and consultants use Yelp review data to understand customer expectations in a category. What do diners in Austin value most? What do hotel guests in Chicago complain about? The answers live in thousands of Yelp reviews — but only if you can export and analyze them at scale. - **Reputation management:** Multi-location businesses — restaurant groups, healthcare networks, home service franchises — cannot manually read thousands of reviews across dozens of locations. Exporting reviews to a dashboard lets you track sentiment by location, flag negative trends early, and measure the impact of operational changes. - **Location scouting and investment decisions:** Real estate developers, franchise investors, and retail chains use Yelp review data to evaluate neighborhoods. A street with 50 businesses averaging 4+ stars signals a healthy commercial corridor. Clusters of complaints about parking or safety tell a different story. - **Customer experience analysis:** Paste hundreds of exported reviews into ChatGPT or Claude and ask for theme clustering. AI tools surface patterns that manual reading misses — recurring complaints about wait times, praise for specific staff members, seasonal trends in satisfaction. That is actionable data. The problem is that Yelp does not offer a bulk export feature. There is no "Download All Reviews" button — and the Yelp Fusion API only returns 3 review excerpts per business. That is where Yelp review scrapers come in. ## 5 Best Yelp Review Scrapers in 2026 ### 1\. Apify Yelp Scraper Apify is a web scraping platform with a marketplace of pre-built scrapers called "actors." The Yelp Scraper actor is purpose-built for extracting Yelp business data and reviews. - **How it works:** Cloud-based. You enter Yelp business URLs or search queries (e.g., "restaurants in Denver"), configure parameters (max reviews, sorting, date range), and run the actor. Results export to CSV, JSON, Excel, or directly to Google Sheets. - **Pricing:** Apify uses a credit system. The free tier includes $5 of usage per month — enough to test on a few businesses. Paid plans start at $49/month. The Yelp actor typically costs $3-7 per 1,000 reviews depending on the complexity of the job and proxy usage. - **Data fields:** Business name, address, category, overall rating, review text, star rating, reviewer name, review date, useful/funny/cool counts, business response, and photos. - **Strengths:** Handles Yelp's anti-scraping measures with built-in proxy rotation. Runs in the cloud — no local setup. Can be scheduled for recurring scrapes and integrated with APIs and webhooks. - **Limitations:** Credit-based pricing can be hard to predict for large or variable workloads. Learning curve is steeper than simpler point-and-click tools. CAPTCHA challenges from Yelp can occasionally slow down runs. ### 2\. Outscraper Outscraper is a dedicated data extraction platform that supports Yelp alongside Google Maps, Tripadvisor, and other review sources. If you need reviews from multiple local business platforms, Outscraper consolidates that into one tool. - **How it works:** Cloud-based. Enter Yelp business URLs or search queries, select the data you need (reviews, business info, or both), and Outscraper runs the job on its servers. Results are delivered as CSV, Excel, or JSON. - **Pricing:** Pay-per-result. Yelp reviews start at roughly $2-4 per 1,000 results. Free tier includes 100 elements/month for testing. - **Data fields:** Reviewer name, star rating, review text, date, useful/funny/cool counts, business response, reviewer's review count, and Elite status. - **Strengths:** Supports Yelp and Google Maps in the same platform — useful if you need reviews from both. Pay-per-result model means no subscription commitment for occasional use. Clean, simple interface. - **Limitations:** Large jobs (50K+ reviews) can take several hours to complete. Yelp scraping is slower than Google Maps scraping on the same platform due to Yelp's stricter anti-bot measures. ### 3\. Octoparse Octoparse is a visual web scraping tool with a point-and-click interface. You build scrapers by clicking on elements in a browser — no code required. Yelp is one of the platforms it can be configured to scrape. - **How it works:** Desktop application (Windows and Mac) with a cloud execution option. You navigate to a Yelp business page inside Octoparse's built-in browser, click on the review elements you want to extract, and Octoparse generates a scraping workflow. You can also use pre-built Yelp templates to skip manual configuration. - **Pricing:** Free plan includes 10,000 records per export. Standard plan starts at $89/month with cloud execution and scheduling. Professional plan at $249/month adds advanced features. - **Data fields:** Configurable — you select exactly which elements to extract. Typical fields include review text, star rating, reviewer name, date, and business metadata. - **Strengths:** No coding required. Visual workflow builder is intuitive for non-technical users. Pre-built Yelp templates reduce setup time. Local execution option avoids cloud costs for small jobs. - **Limitations:** Yelp's dynamic page rendering and anti-bot measures mean the pre-built templates sometimes break after Yelp updates their site. Manual configuration requires understanding of pagination and JavaScript-rendered content. Not as reliable as API-based scrapers for ongoing, automated extraction. ### 4\. ScrapeHero ScrapeHero is a managed scraping service. Instead of running scrapers yourself, you tell them what Yelp data you need and they deliver clean, structured results. - **How it works:** You submit a request specifying the Yelp businesses, search queries, or categories you want scraped. ScrapeHero's team builds and runs the scraper, handles anti-bot measures, manages proxy rotation, and delivers clean data. They also offer a self-service platform for simpler jobs. - **Pricing:** Custom quotes for managed services. Self-service plans start at $99/month. Enterprise Yelp scraping projects typically run $500-2,000+ depending on scale and frequency. - **Data fields:** Fully customizable through the managed service. Standard fields include review text, star rating, date, reviewer info, business details, and response text. - **Strengths:** Zero technical overhead. ScrapeHero handles all the complexity of Yelp's anti-scraping measures — proxy rotation, CAPTCHA solving, IP management. Reliable for ongoing, large-scale extraction. Good for teams without developer resources. - **Limitations:** Most expensive option, especially for small-scale or one-off projects. Turnaround time for managed projects can be 2-5 business days. Less control over timing and parameters compared to self-service tools. ### 5\. Python + BeautifulSoup/Selenium (DIY) The do-it-yourself approach. If you have Python skills, you can build a Yelp review scraper from scratch using BeautifulSoup (for HTML parsing) or Selenium (for browser automation). - **How it works:** Write a Python script that sends HTTP requests to Yelp business pages (BeautifulSoup) or automates a headless browser to navigate Yelp (Selenium). Parse the HTML to extract review data, handle pagination, and save results to CSV or JSON. - **Pricing:** Free (open-source libraries). But factor in proxy costs — you will need rotating residential proxies to avoid IP blocks. Proxy services typically cost $5-15/GB of bandwidth. - **Data fields:** Fully customizable. You extract exactly what you parse from the HTML. - **Strengths:** Complete control over the scraping logic. No subscription fees. Can be tailored to extract non-standard data points. Good learning exercise for data engineering. - **Limitations:** Yelp is one of the hardest platforms to scrape with DIY tools. Expect to deal with CAPTCHAs, IP blocks, JavaScript-rendered content, and Yelp's review filter that hides "not recommended" reviews behind user interactions. A basic BeautifulSoup script will break within minutes without proxy rotation. Selenium is slower and resource-intensive. Maintenance is ongoing — Yelp regularly updates their HTML structure, breaking scrapers. ## Comparison Table | Tool | Starting Price | Ease of Use | Output Formats | Anti-Bot Handling | Best For | | --- | --- | --- | --- | --- | --- | | Apify Yelp Scraper | $49/mo (credits) | Moderate | CSV, JSON, Excel, Sheets | Built-in proxy rotation | Developers, recurring scrapes | | Outscraper | ~$2-4/1K reviews | Easy-Moderate | CSV, Excel, JSON | Managed internally | Multi-platform review extraction | | Octoparse | Free / $89/mo | Easy (visual) | CSV, Excel, JSON, API | Limited — manual config | Non-technical users | | ScrapeHero | $99/mo (self-serve) | Easy (managed) | CSV, JSON, custom | Fully managed | Non-technical teams, enterprise | | Python (DIY) | Free + proxy costs | Advanced | Any (custom) | Manual — you handle it | Developers, custom needs | ## What Data Can You Extract from Yelp Reviews? The specific fields depend on which scraper you use, but most Yelp review scrapers can extract the following data points: - **Business name and category:** The name of the Yelp listing and its primary categories (e.g., "Italian Restaurant," "Auto Repair," "Dentist"). - **Reviewer name and profile link:** The display name of the person who left the review, along with a link to their Yelp profile. - **Star rating:** The 1-5 star rating attached to the individual review. - **Review date:** When the review was posted. - **Full review text:** The complete body of the review — not truncated excerpts like the Yelp Fusion API provides. - **Useful/Funny/Cool counts:** Yelp's three reaction metrics. "Useful" counts are a signal of review quality and relevance — reviews with high "useful" counts tend to contain more detailed, actionable feedback. - **Photos:** URLs of any photos the reviewer attached to their review. Useful for visual sentiment analysis or audit purposes. - **Business owner response:** The text of the owner's reply to the review, if one exists. Tracking response rates and response quality across competitors is a common competitive analysis use case. - **Check-in count:** How many Yelp check-ins the business has received. This is a proxy for foot traffic volume — not review-specific, but often extracted alongside reviews as business metadata. - **Reviewer metadata:** Some scrapers also capture the reviewer's total review count, friend count, photo count, and Elite status. Elite reviewers tend to write longer, more detailed reviews. One important caveat: Yelp filters reviews algorithmically. A business might show 200 "recommended" reviews but have another 50-100 in the "not recommended" section. Most scrapers only extract the recommended reviews by default. If you need filtered (not recommended) reviews, verify that your chosen tool supports extracting them — it requires additional page interactions that basic scrapers cannot handle. ## Yelp's Anti-Scraping Measures Yelp is one of the hardest review platforms to scrape. This is not an exaggeration — Yelp has invested heavily in anti-bot technology, and their defenses are significantly more aggressive than platforms like Amazon or Google Maps. Here is what you are up against: - **CAPTCHAs:** Yelp deploys CAPTCHAs frequently, especially when it detects automated access patterns. Even moderate scraping speeds — say, one page every 5 seconds — can trigger CAPTCHA challenges. Solving CAPTCHAs at scale requires third-party CAPTCHA-solving services, which add cost and latency. - **IP rate limiting and blocking:** Yelp tracks request patterns by IP address. Too many requests from the same IP in a short window results in temporary or permanent blocks. Residential proxy rotation is a near-requirement for any serious Yelp scraping project. - **Browser fingerprinting:** Yelp analyzes browser characteristics — user agent strings, JavaScript execution patterns, screen resolution, WebGL fingerprints — to distinguish real users from automated tools. Simple HTTP requests with a basic user agent string get flagged almost immediately. - **Dynamic page rendering:** Yelp uses JavaScript to render review content. A basic HTTP GET request to a Yelp business page returns minimal HTML — the actual reviews are loaded dynamically. This means tools like BeautifulSoup alone cannot extract reviews without a JavaScript rendering engine. - **Review filter:** Yelp's recommendation algorithm hides a portion of reviews in a "not recommended" section. Accessing these reviews requires clicking a specific link and navigating additional pages — interactions that basic scrapers cannot replicate without browser automation. The practical implication: free or low-cost scraping tools that work on other platforms often fail on Yelp. Budget for proxy costs, CAPTCHA-solving services, or a paid scraping tool with built-in anti-bot handling. The tools listed in this article account for these challenges — that is why we recommend them over generic web scrapers. ## What About Other Review Platforms? Yelp is one review source — but most businesses and researchers need data from multiple platforms. Amazon product reviews, YouTube comment sections, Reddit discussions, and more each contain different types of customer feedback. If you need to export reviews from platforms _other than_ Yelp, [Comment Exporter](/scrapers/reddit-comment-scraper) handles 11 platforms with one Chrome extension: - **Amazon:** Product reviews with ratings, verified purchase status, and dates. [See the Amazon review scraper](/scrapers/amazon-review-scraper). - **YouTube:** Video comments with like counts, replies, and timestamps. - **Reddit:** Thread comments with upvotes, timestamps, and nested replies. Free to use. - **Steam, Hacker News, Product Hunt, Etsy, Quora:** Each with platform-specific metadata. Comment Exporter does not support Yelp — that is a gap. For Yelp reviews, use one of the dedicated tools listed above. But if your research spans Amazon, YouTube, Reddit, or any of the other 11 supported platforms, Comment Exporter consolidates all of that into a single tool at $49.99/month. One extension, one export workflow, structured CSV or JSON output across every platform. For teams running competitive analysis across multiple review sources, combining a Yelp scraper with Comment Exporter covers a broad range of review data. See our [roundup of the best comment exporters in 2026](/blog/best-comment-exporters) for a full comparison of multi-platform tools. ## Legal Considerations Scraping Yelp reviews comes with legal considerations that are worth understanding before you start. This is not legal advice — consult an attorney for your specific situation — but here is the landscape as of 2026: - **Yelp's Terms of Service:** Yelp explicitly prohibits automated data collection in their ToS. Using a scraper violates these terms. However, ToS violations are a contractual matter, not a criminal one — Yelp can terminate your account or pursue civil action, but you are not breaking the law by default. - **The hiQ v. LinkedIn ruling:** In 2022, the Supreme Court declined to hear LinkedIn's appeal in _hiQ Labs v. LinkedIn_, letting stand a Ninth Circuit ruling that scraping publicly available data does not violate the Computer Fraud and Abuse Act (CFAA). This is the most relevant precedent for web scraping cases. It does not give blanket permission to scrape anything — but it established that accessing publicly visible data is not "unauthorized access" under the CFAA. - **The Computer Fraud and Abuse Act (CFAA):** The CFAA criminalizes "unauthorized access" to computer systems. After the hiQ ruling, courts have generally held that scraping publicly available web pages — without bypassing login walls or technical access controls — does not constitute unauthorized access. Yelp reviews are publicly visible, which works in the scraper's favor. - **Practical advice:** Use scraped Yelp data for internal analysis — competitive research, market research, reputation monitoring. Do not republish Yelp reviews on your own website or use them in marketing materials without attribution. Avoid scraping at volumes or speeds that could disrupt Yelp's service. Keep a record of what you scrape and why. And if you are scraping at enterprise scale, involve your legal team. The short version: scraping publicly visible Yelp reviews for internal research is low-risk. Republishing scraped reviews, scraping behind login walls, or disrupting Yelp's service carries higher risk. When in doubt, consult a lawyer. ## Frequently Asked Questions ### Is it legal to scrape Yelp reviews? Scraping publicly visible Yelp reviews exists in a legal gray area. Yelp's Terms of Service explicitly prohibit automated data collection, and Yelp has sued scrapers in the past. However, the hiQ v. LinkedIn Supreme Court ruling established that scraping publicly available data is not necessarily a violation of the Computer Fraud and Abuse Act. For business use, consult your legal team before scraping Yelp at scale. Using scraped data for internal competitive analysis carries less risk than republishing reviews. ### Why is Yelp harder to scrape than other review platforms? Yelp employs aggressive anti-scraping measures including CAPTCHAs, IP rate limiting, browser fingerprinting, and dynamic page rendering. Yelp also filters reviews algorithmically — the "not recommended" reviews are hidden behind JavaScript interactions that basic scrapers cannot handle. Most simple HTTP-based scrapers fail on Yelp within minutes without proxy rotation. You typically need a tool with built-in proxy support, headless browser capabilities, and CAPTCHA-solving features. ### Can I use the Yelp Fusion API to export reviews? The Yelp Fusion API provides limited review access. It returns up to 3 review excerpts per business — not the full review text, and not all reviews. For bulk review extraction, the Fusion API is insufficient. You would need a third-party Yelp review scraper to export complete reviews at scale. The API is useful for business metadata (name, address, rating, categories) but not for comprehensive review data. ### What data can I extract from Yelp reviews? A Yelp review scraper can typically extract: business name and category, reviewer name and profile link, star rating (1-5), full review text, review date, useful/funny/cool reaction counts, photos attached to the review, business owner response text, and check-in count. Some tools also capture the reviewer's total review count and Elite status. The exact fields vary by scraper. ### Does Comment Exporter support Yelp? No. Comment Exporter does not support Yelp. It currently covers 11 platforms: Reddit, YouTube, Amazon, Steam, Hacker News, Product Hunt, Etsy, Quora, Facebook, Google Maps, and Shopify. For Yelp reviews specifically, use one of the dedicated Yelp review scrapers listed in this article. For reviews on the other 11 platforms, [Comment Exporter](/scrapers/reddit-comment-scraper) handles all of them with a single Chrome extension.