Yelp Review Data Scraping API

FoodSpark’s Yelp Review Data Scraping API extracts structured review and rating data from Yelp — reviewer name, star rating, review text, review date, response from owner, and sentiment tags — across any US city, business category, or cuisine type, delivered clean in JSON or CSV without you managing proxies, rotations, or scraper maintenance.

[
    {
        "ID": "0",
        "Store_Name": "Safeway Store 1",
        "URL": "https://www.safeway.com/store-1",
        "Timing": "Open 24 Hours",
        "Address": "123 Main St, City, State ZIP",
        "Ratings": "4.5"
    },
    {
        "ID": "1",
        "Store_Name": "Safeway Store 2",
        "URL": "https://www.safeway.com/store-2",
        "Timing": "Open Until 9:00 PM",
        "Address": "456 Elm St, City, State ZIP",
        "Ratings": "4.2"
    },
    {
        "ID": "2",
        "Store_Name": "Safeway Store 3",
        "URL": "https://www.safeway.com/store-3",
        "Timing": "Open 24 Hours",
        "Address": "789 Oak St, City, State ZIP",
        "Ratings": "4.8"
    }
    // Add more Safeway stores as needed
]

Systematic Yelp Review API to Ease the Analysis Processes

Enhance the Yelp data extraction by integrating APIs and data scrapers to gather required data easily. Yelp API is beneficial for businesses in several manners, some are:

  • get structured data with Yelp Review API to extract and integrate into applications or databases
  • Yelp API ensures compliance with yelp’s terms of service, avoiding legal issues and potential bans
  • API allows for advanced filtering options, enabling searches by location, category, rating, and price range
  • our yelp API is designed to handle large volumes

Scrape Yelp Reviews with Yelp Data API

FoodSpark’s Yelp Review Data API gives developers structured access to Yelp’s full review dataset — business overall rating, individual star ratings, review text, review date, reviewer name, reviewer profile URL, review reaction counts, owner responses, and Yelp Elite status — via clean JSON or CSV output, without writing a single line of scraping code.

Unlike Yelp’s official Fusion API — which caps access at just 3 reviews per business — FoodSpark’s managed pipeline extracts the complete review history for any business, refreshed on your schedule. Our infrastructure handles JavaScript rendering, IP rotation, and Yelp’s anti-bot layers automatically, so your team receives consistent, uninterrupted data delivery regardless of how Yelp updates its front end.

Integrate via REST API endpoint, receive scheduled CSV drops, or push directly into BigQuery, Snowflake, or AWS S3 — whichever fits your existing data stack.

1_Region-Wise-1
2_Competitive Pricing Menu

Extract Location Data of Businesses on Yelp.com

Scraping Location Data using web scrapers involves programmatically navigating Yelp’s website to gather business information from specific locations. Integrate Yelp Review API to send requests into the API with specific location parameters. The Yelp API allows for detailed filtering, enabling the retrieval of businesses based on categories, ratings, and other criteria.

Yelp Data API for Effective Competitor Monitoring

Your competitors’ Yelp reviews are updated daily. Their ratings shift, new complaints surface, and sentiment patterns emerge — but manually tracking even 20 competitor listings across multiple cities is a full-time job. FoodSpark’s Yelp Data API automates the entire process: monitoring competitor ratings, capturing new reviews as they’re posted, flagging sentiment shifts, and delivering structured data to your analytics pipeline on whatever refresh schedule your team needs.

3_Scraping Food Menu
4_Item-Wise Service, Packaging, Delivery Charges

Extract Competitor Details with Modern Yelp Data API

FoodSpark’s Yelp review data gives your analytics team something concrete to work with not just raw ratings, but review velocity trends that show when a competitor is gaining or losing momentum, sentiment shift alerts that flag sudden spikes in negative feedback, and cuisine-level benchmarks that reveal where your pricing, service quality, or menu gaps stand relative to the top-rated businesses in your category.

Restaurant chains use this data to refine menus based on recurring dish-level complaints. FMCG brands use it to track how product placements land with real customers. Marketing teams use it to identify the exact language customers use when recommending or rejecting a business and mirror it in their own campaigns.

Scrape Extensive Datasets with Yelp API and Scrapers for Market Analysis

FoodSpark extracts a comprehensive range of business data from Yelp — business name, address, phone number, website URL, category and sub-category, hours of operation, price range, aggregate rating, review count, individual reviews, photos, and claimed/unclaimed status — structured by city, zip code, or cuisine type and delivered in JSON or CSV on your refresh schedule.

 

Every dataset is deduplicated, normalised, and validated before delivery. What arrives in your pipeline is analysis-ready business intelligence — not a raw scrape dump that takes your team days to clean before it’s usable.

5_Competitive Pricing Used for
5_Competitive Pricing Used for

Extract Large Datasets by Integrating Data Scraper with Yelp Data API

FoodSpark’s Yelp scraping service goes beyond what any official API can deliver extracting competitor business profiles, full review histories, customer-uploaded photos, menu listings, Q&A sections, and business owner responses directly from Yelp’s public pages, with no volume caps, no field restrictions, and no dependency on Yelp’s developer access approvals.

 

This is the data that drives real competitive decisions: which dishes competitors get photographed most, what customers highlight in their photo captions, how owner responses affect subsequent review sentiment, and where menu gaps exist across an entire cuisine category in your target city. All of it extracted, structured, and delivered without your team managing a single scraper.

FAQs

Yes. FoodSpark can extract the complete review history for any Yelp business — from its first review to the most recent — not just the handful surfaced by default. This is one of the most significant limitations of Yelp’s official Fusion API, which only returns 3 reviews per business. Historical review data is widely used for sentiment trend analysis (tracking how customer perception has changed over time), reputation timeline mapping (identifying events that caused rating spikes or drops), and ML model training where large labelled review datasets are required.

The most common buyers of Yelp review data from FoodSpark include: Restaurant chains and QSR brands monitoring competitor ratings and customer feedback across US metro areas. FMCG and CPG brands tracking how their products are mentioned in restaurant reviews. Market research firms building consumer sentiment reports for food industry clients. Reputation management agencies benchmarking client ratings against category competitors. AI and NLP teams training sentiment analysis, topic modelling, and review classification models. Food delivery aggregators validating restaurant quality scores against independent Yelp ratings.

Yes, this is one of the most common technical use cases for Yelp review data. FoodSpark delivers full review text in clean, UTF-8 encoded strings no HTML tags, no truncation, no encoding errors making it directly compatible with standard NLP pipelines. Clients use this data for aspect-based sentiment analysis (isolating sentiment about food quality, service, price, or ambience separately), topic modelling (identifying recurring themes across thousands of reviews), named entity recognition (extracting dish names, staff names, and location references), and review classification for training or fine-tuning language models.

Yes, every FoodSpark engagement starts with a free sample. Tell us your target city, cuisine category, or specific business list and we’ll deliver a structured sample of 100 Yelp review records in CSV or JSON within 4 business hours  covering all standard fields including rating, review text, reviewer details, date, and owner response. No payment, no contract, no credit card required. You verify field coverage, data quality, and formatting fit your pipeline before committing to a full project.

Food Data APIs

Scrape food delivery data to streamline your food delivery business with our APIs. Our robust, user-friendly interfaces enable real-time data integration, offering efficiency and insights.

Swiggy API

Swiggy API offers numerous benefits, including its robust infrastructure, reliable data extraction capabilities, and seamless integration.

Get Api

Zomato API

Use our Zomato API to extract restaurant data like menu details, reviews, ratings, etc. and download the data in the required format.

Get Api

Grubhub API

Fetch Grubhub data such as restaurant details, menu items, pricing etc. using Grubhub listing API.

Get Api

DoorDash API

Seamlessly integrate with DoorDash food delivery platform to extract data such as restaurant address, restaurant timings, reviews, ratings, etc.

Get Api

Seamless API

Gather restaurant details using our Seamless API listings. User can download the data in the required format such as XML, Excel, etc.

Get Api

View More