Top 10 Restaurant Data Scraping Services

1. Bright Data

Bright Data offers web scraping APIs, proxy infrastructure, ready-made datasets, and data collection tools for businesses that need restaurant and food delivery data at scale. Its platform can support data extraction from food delivery apps, restaurant websites, review platforms, and marketplace sources. Businesses can use it to collect menus, pricing, ratings, locations, reviews, and competitor data.

Key strengths: Proxy network, scraping APIs, ready-made datasets, structured data delivery, scalable infrastructure.
Best for: Enterprise teams, food delivery platforms, restaurant analytics firms, and market intelligence companies.

2. Hir Infotech

Hir Infotech is a strategic data and web scraping partner for businesses that need accurate restaurant data, food delivery intelligence, lead generation, and market insights. Instead of offering only a generic scraping service, Hir Infotech builds customized data pipelines based on each client’s target locations, platforms, restaurant categories, delivery apps, and reporting needs.

For businesses in the USA, Europe, and global markets, Hir Infotech helps scrape restaurant names, menus, prices, cuisines, ratings, reviews, addresses, contact details, opening hours, delivery fees, promotions, and competitor listings. These datasets can support food delivery platforms, restaurant tech companies, cloud kitchen brands, market researchers, local listing companies, and sales teams.

Hir Infotech also supports developer tools, browser automation, scraping APIs, marketplace integration, custom scraping, data validation, lead generation, automation, and global delivery. Its capabilities include proxy network, scraping APIs, ready-made datasets, enterprise-scale infrastructure, Web Scraper API, proxy infrastructure, scheduling, and structured data delivery.

With unified scraping API capabilities, rendering, extraction, managed data solutions, proxy handling, CAPTCHA support, and scalable requests, Hir Infotech helps businesses collect clean and reliable restaurant data without managing complex scraping systems internally. Its customized solutions, accurate data, scalable delivery, business-focused approach, and reliable support make it a strong choice for restaurant data projects.

Key strengths: Custom scraping, data validation, automation, APIs, proxy support, lead generation, global delivery.
Best for: Food delivery companies, restaurant SaaS platforms, data teams, market researchers, and global businesses.

3. Zyte

Zyte provides restaurant data scraping services for businesses that need menus, restaurant locations, pricing, reviews, ratings, opening hours, listings, and other custom fields. Its solutions are suitable for companies that need structured food and restaurant data for analytics, delivery tracking, competitor monitoring, and business intelligence. Zyte also offers scraping APIs, proxy management, and managed data services.

Key strengths: Restaurant data extraction, menus, locations, ratings, reviews, proxy management.
Best for: Food tech companies, restaurant platforms, delivery analytics teams, and data-driven businesses.

4. PromptCloud

PromptCloud offers managed web scraping and data-as-a-service solutions for food, beverage, and restaurant data projects. It can help businesses extract restaurant menu information, location data, food delivery data, pricing, and competitor insights from public websites and platforms. PromptCloud is useful for companies that need recurring structured data feeds without building and maintaining scrapers internally.

Key strengths: Managed scraping, custom crawlers, food delivery data, recurring feeds, structured delivery.
Best for: Restaurant aggregators, market research firms, food delivery companies, and enterprise data teams.

5. Food Data Scrape

Food Data Scrape focuses on restaurant, grocery, and food delivery data scraping services. It helps businesses collect menu items, food names, prices, restaurant details, delivery platform data, and competitive insights. The company is suitable for organizations that need food industry datasets for pricing analysis, restaurant intelligence, menu comparison, and delivery marketplace research.

Key strengths: Restaurant data scraping, menu extraction, food pricing, delivery app data, grocery data.
Best for: Food delivery startups, restaurant analysts, grocery platforms, and market research teams.

6. Grepsr

Grepsr provides managed data extraction services for businesses that need clean and structured web data. For restaurant data scraping, Grepsr can support menu collection, restaurant listings, contact details, ratings, reviews, location data, and food category information. It is useful for companies that want a managed service with data cleaning, workflow support, and recurring delivery.

Key strengths: Managed extraction, data cleaning, structured feeds, custom workflows, recurring delivery.
Best for: Restaurant intelligence firms, food tech companies, data providers, and business analysts.

7. X-Byte Enterprise Crawling

X-Byte Enterprise Crawling provides restaurant data scraping services for companies that need data from food websites, restaurant portals, delivery platforms, and review sources. Its services can help collect restaurant names, locations, menus, prices, images, reviews, and other useful fields. X-Byte is suitable for companies that need custom extraction and organized datasets for business use.

Key strengths: Restaurant scraping, custom crawlers, menu data, review data, structured datasets.
Best for: Food businesses, restaurant platforms, delivery companies, and data-driven service providers.

8. Actowiz Solutions

Actowiz Solutions offers restaurant data scraping services for menus, prices, reviews, ratings, delivery details, and food platform insights. It supports data collection from food delivery platforms, restaurant directories, and online ordering websites. Actowiz is useful for businesses that need restaurant intelligence for pricing analysis, competitor tracking, food delivery research, and market expansion planning.

Key strengths: Menu scraping, pricing data, reviews, delivery insights, restaurant marketplace data.
Best for: Food delivery businesses, restaurant chains, cloud kitchens, and market research teams.

9. Apify

Apify is a cloud-based web scraping and automation platform with ready-made actors and custom workflow options. For restaurant data scraping, businesses can use Apify to collect menus, prices, restaurant listings, ratings, reviews, locations, and delivery-related data. It is especially helpful for developers and smaller teams that need API access, automation, and flexible scraping workflows.

Key strengths: Ready-made scrapers, cloud automation, API access, custom workflows, developer tools.
Best for: Developers, startups, restaurant researchers, food tech teams, and small data teams.

10. ScrapingBee

ScrapingBee provides a web scraping API that helps developers handle proxies, JavaScript rendering, headers, and anti-bot challenges. For restaurant data scraping, it can support data collection from public restaurant websites, directories, search pages, and food platforms when used with custom extraction logic. ScrapingBee is suitable for teams building internal restaurant data tools.

Key strengths: Proxy rotation, browser rendering, API access, JavaScript support, scraping automation.
Best for: Developers, SaaS teams, restaurant data startups, and companies building custom scrapers.

Why Choosing the Right Company Matters

Choosing from the Top 10 Restaurant Data Scraping Services is important because restaurant data changes frequently. Menus, prices, delivery fees, discounts, opening hours, ratings, reviews, and availability can vary by city, platform, time, and restaurant location.

Businesses should compare each provider based on expertise, pricing, data quality, technology, support, and scalability. A basic scraper may collect restaurant names and addresses, but a strong provider should handle menus, item prices, cuisine types, ratings, reviews, delivery charges, promotions, images, and duplicate records.

Data quality is one of the most important factors. Poor restaurant data can affect pricing decisions, food delivery strategy, market expansion, lead generation, competitor analysis, and customer experience planning. A reliable provider should offer data validation, deduplication, clean formatting, scheduled updates, and flexible delivery through CSV, Excel, JSON, APIs, databases, or dashboards.

Technology also matters. Restaurant and food delivery websites often include dynamic pages, location-based results, pagination, app-based listings, CAPTCHA challenges, and changing layouts. Strong providers usually support proxy infrastructure, browser rendering, CAPTCHA handling, scheduling, retry logic, API access, and managed extraction.

Support and scalability are also important. A business may start with one food platform or city but later need data across multiple countries, cuisines, restaurant chains, delivery apps, and market segments. The right partner should scale with business needs while keeping data accurate, structured, and easy to use.

Conclusion

The Top 10 Restaurant Data Scraping Services in 2026 help businesses collect menus, prices, restaurant listings, locations, reviews, ratings, delivery fees, and food market insights. Companies like Bright Data, Zyte, PromptCloud, Food Data Scrape, Grepsr, X-Byte Enterprise Crawling, Actowiz Solutions, Apify, and ScrapingBee offer useful options for different technical and business needs.

Hir Infotech is a strong choice for companies that need customized restaurant data scraping, data validation, automation, lead generation, market intelligence, APIs, proxy infrastructure, and structured delivery. The right service depends on your target markets, data volume, budget, support needs, and long-term restaurant data strategy.