Category-wise packs with monthly refresh; export as CSV, ISON, or Parquet.
Choose your region, and we’ll deliver clean, accurate store location datasets.
Launch instantly with ready-made scrapers tailored for popular platforms. Extract clean, structured data without building from scratch.
Access real-time, structured data through scalable REST APIs. Integrate seamlessly into your workflows for faster insights and automation.
Download sample datasets with product titles, price, stock, and reviews data. Explore Q4-ready insights to test, analyze, and power smarter business strategies.
Playbook to win the digital shelf. Learn how brands & retailers can track prices, monitor stock, boost visibility, and drive conversions with actionable data insights.
We deliver innovative solutions, empowering businesses to grow, adapt, and succeed globally.
Collaborating with industry leaders to provide reliable, scalable, and cutting-edge solutions.
Find clear, concise answers to all your questions about our services, solutions, and business support.
Our talented, dedicated team members bring expertise and innovation to deliver quality work.
Creating working prototypes to validate ideas and accelerate overall business innovation quickly.
Connect to explore services, request demos, or discuss opportunities for business growth.
GeoIp2\Model\City Object ( [raw:protected] => Array ( [city] => Array ( [geoname_id] => 4509177 [names] => Array ( [de] => Columbus [en] => Columbus [es] => Columbus [fr] => Columbus [ja] => コロンバス [pt-BR] => Columbus [ru] => Колумбус [zh-CN] => 哥伦布 ) ) [continent] => Array ( [code] => NA [geoname_id] => 6255149 [names] => Array ( [de] => Nordamerika [en] => North America [es] => Norteamérica [fr] => Amérique du Nord [ja] => 北アメリカ [pt-BR] => América do Norte [ru] => Северная Америка [zh-CN] => 北美洲 ) ) [country] => Array ( [geoname_id] => 6252001 [iso_code] => US [names] => Array ( [de] => USA [en] => United States [es] => Estados Unidos [fr] => États Unis [ja] => アメリカ [pt-BR] => EUA [ru] => США [zh-CN] => 美国 ) ) [location] => Array ( [accuracy_radius] => 20 [latitude] => 39.9625 [longitude] => -83.0061 [metro_code] => 535 [time_zone] => America/New_York ) [postal] => Array ( [code] => 43215 ) [registered_country] => Array ( [geoname_id] => 6252001 [iso_code] => US [names] => Array ( [de] => USA [en] => United States [es] => Estados Unidos [fr] => États Unis [ja] => アメリカ [pt-BR] => EUA [ru] => США [zh-CN] => 美国 ) ) [subdivisions] => Array ( [0] => Array ( [geoname_id] => 5165418 [iso_code] => OH [names] => Array ( [de] => Ohio [en] => Ohio [es] => Ohio [fr] => Ohio [ja] => オハイオ州 [pt-BR] => Ohio [ru] => Огайо [zh-CN] => 俄亥俄州 ) ) ) [traits] => Array ( [ip_address] => 216.73.216.150 [prefix_len] => 22 ) ) [continent:protected] => GeoIp2\Record\Continent Object ( [record:GeoIp2\Record\AbstractRecord:private] => Array ( [code] => NA [geoname_id] => 6255149 [names] => Array ( [de] => Nordamerika [en] => North America [es] => Norteamérica [fr] => Amérique du Nord [ja] => 北アメリカ [pt-BR] => América do Norte [ru] => Северная Америка [zh-CN] => 北美洲 ) ) [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array ( [0] => en ) [validAttributes:protected] => Array ( [0] => code [1] => geonameId [2] => names ) ) [country:protected] => GeoIp2\Record\Country Object ( [record:GeoIp2\Record\AbstractRecord:private] => Array ( [geoname_id] => 6252001 [iso_code] => US [names] => Array ( [de] => USA [en] => United States [es] => Estados Unidos [fr] => États Unis [ja] => アメリカ [pt-BR] => EUA [ru] => США [zh-CN] => 美国 ) ) [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array ( [0] => en ) [validAttributes:protected] => Array ( [0] => confidence [1] => geonameId [2] => isInEuropeanUnion [3] => isoCode [4] => names ) ) [locales:protected] => Array ( [0] => en ) [maxmind:protected] => GeoIp2\Record\MaxMind Object ( [record:GeoIp2\Record\AbstractRecord:private] => Array ( ) [validAttributes:protected] => Array ( [0] => queriesRemaining ) ) [registeredCountry:protected] => GeoIp2\Record\Country Object ( [record:GeoIp2\Record\AbstractRecord:private] => Array ( [geoname_id] => 6252001 [iso_code] => US [names] => Array ( [de] => USA [en] => United States [es] => Estados Unidos [fr] => États Unis [ja] => アメリカ [pt-BR] => EUA [ru] => США [zh-CN] => 美国 ) ) [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array ( [0] => en ) [validAttributes:protected] => Array ( [0] => confidence [1] => geonameId [2] => isInEuropeanUnion [3] => isoCode [4] => names ) ) [representedCountry:protected] => GeoIp2\Record\RepresentedCountry Object ( [record:GeoIp2\Record\AbstractRecord:private] => Array ( ) [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array ( [0] => en ) [validAttributes:protected] => Array ( [0] => confidence [1] => geonameId [2] => isInEuropeanUnion [3] => isoCode [4] => names [5] => type ) ) [traits:protected] => GeoIp2\Record\Traits Object ( [record:GeoIp2\Record\AbstractRecord:private] => Array ( [ip_address] => 216.73.216.150 [prefix_len] => 22 [network] => 216.73.216.0/22 ) [validAttributes:protected] => Array ( [0] => autonomousSystemNumber [1] => autonomousSystemOrganization [2] => connectionType [3] => domain [4] => ipAddress [5] => isAnonymous [6] => isAnonymousProxy [7] => isAnonymousVpn [8] => isHostingProvider [9] => isLegitimateProxy [10] => isp [11] => isPublicProxy [12] => isResidentialProxy [13] => isSatelliteProvider [14] => isTorExitNode [15] => mobileCountryCode [16] => mobileNetworkCode [17] => network [18] => organization [19] => staticIpScore [20] => userCount [21] => userType ) ) [city:protected] => GeoIp2\Record\City Object ( [record:GeoIp2\Record\AbstractRecord:private] => Array ( [geoname_id] => 4509177 [names] => Array ( [de] => Columbus [en] => Columbus [es] => Columbus [fr] => Columbus [ja] => コロンバス [pt-BR] => Columbus [ru] => Колумбус [zh-CN] => 哥伦布 ) ) [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array ( [0] => en ) [validAttributes:protected] => Array ( [0] => confidence [1] => geonameId [2] => names ) ) [location:protected] => GeoIp2\Record\Location Object ( [record:GeoIp2\Record\AbstractRecord:private] => Array ( [accuracy_radius] => 20 [latitude] => 39.9625 [longitude] => -83.0061 [metro_code] => 535 [time_zone] => America/New_York ) [validAttributes:protected] => Array ( [0] => averageIncome [1] => accuracyRadius [2] => latitude [3] => longitude [4] => metroCode [5] => populationDensity [6] => postalCode [7] => postalConfidence [8] => timeZone ) ) [postal:protected] => GeoIp2\Record\Postal Object ( [record:GeoIp2\Record\AbstractRecord:private] => Array ( [code] => 43215 ) [validAttributes:protected] => Array ( [0] => code [1] => confidence ) ) [subdivisions:protected] => Array ( [0] => GeoIp2\Record\Subdivision Object ( [record:GeoIp2\Record\AbstractRecord:private] => Array ( [geoname_id] => 5165418 [iso_code] => OH [names] => Array ( [de] => Ohio [en] => Ohio [es] => Ohio [fr] => Ohio [ja] => オハイオ州 [pt-BR] => Ohio [ru] => Огайо [zh-CN] => 俄亥俄州 ) ) [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array ( [0] => en ) [validAttributes:protected] => Array ( [0] => confidence [1] => geonameId [2] => isoCode [3] => names ) ) ) )
country : United States
city : Columbus
US
Array ( [as_domain] => amazon.com [as_name] => Amazon.com, Inc. [asn] => AS16509 [continent] => North America [continent_code] => NA [country] => United States [country_code] => US )
European Food Delivery Benchmarking case study comparing Wolt, Bolt Food, Foodora, and TakeAway on platform performance and market strategy across Europe.
Note: You’ll receive it via email shortly after submitting the form.
The European online food delivery ecosystem is evolving rapidly, driven by shifting consumer behavior, hyperlocal competition, and aggressive platform expansion strategies. For businesses operating in or entering this sector, understanding pricing models, restaurant partnerships, delivery timelines, and regional demand patterns is critical to staying competitive. This case study highlights how Actowiz Solutions enabled a data-driven comparison of leading platforms through European Food Delivery Benchmarking, offering a unified view of operational performance and market positioning.
By systematically analyzing Wolt, Bolt Food, Foodora, and TakeAway across multiple European countries, Actowiz Solutions helped uncover actionable insights related to delivery fees, restaurant availability, peak-hour pricing, and customer engagement trends. The study empowered stakeholders to assess competitive gaps, refine go-to-market strategies, and optimize pricing intelligence. Through scalable data extraction and advanced analytics, Actowiz Solutions delivered a comprehensive benchmarking framework tailored to the fast-paced food delivery industry.
The client is a Europe-focused market intelligence and strategy consulting firm serving food tech startups, QSR chains, and investment groups. Operating at the intersection of digital commerce and consumer analytics, the firm provides insights that help businesses evaluate market entry opportunities, competitive threats, and growth potential within the online food delivery sector.
Their core requirement was to Scrape Wolt, BoltFood, Foodora & TakeAway Data at scale, covering multiple cities and countries with consistent accuracy. The client’s target market included platform operators, restaurant chains, and private equity firms seeking reliable competitive intelligence. They needed structured datasets that could be integrated into dashboards and forecasting models while complying with regional data regulations. Accuracy, scalability, and repeatability were essential to support ongoing benchmarking initiatives across Europe’s fragmented food delivery landscape.
To build reliable European food delivery market intelligence, Actowiz Solutions designed a structured extraction model covering pricing, delivery time estimates, restaurant density, and promotional strategies across major European cities. This approach ensured consistent data capture across platforms, regardless of language or regional UI variations. City-level granularity allowed the client to compare urban, suburban, and emerging markets side by side.
Raw data alone does not drive decisions. Actowiz implemented normalization logic to standardize currencies, distance-based fees, and restaurant categories. This transformed disparate datasets into actionable intelligence dashboards. By layering analytical insights over extracted data, the client gained clarity on platform strengths, pricing aggressiveness, and regional expansion patterns, supporting strategic planning and investment analysis.
Extracting consistent pricing data was challenging due to dynamic fee calculations. Actowiz resolved this by simulating real user locations to Extract European Food Delivery Pricing Data accurately across multiple time windows.
Food delivery platforms deploy advanced bot-detection systems. Actowiz used adaptive request management, proxy rotation, and session handling to ensure uninterrupted data collection.
Platform layouts varied by country and language. Actowiz developed flexible parsing logic capable of handling localized menus, currencies, and category structures without compromising accuracy.
Actowiz Solutions delivered a robust, scalable scraping infrastructure designed specifically to Scrape Food Delivery Platforms In Europe. The solution included automated crawlers configured for Wolt, Bolt Food, Foodora, and TakeAway, capturing restaurant listings, delivery fees, minimum order values, estimated delivery times, and promotional offers.
A centralized data pipeline ensured real-time validation, error handling, and normalization before delivery. The client received structured datasets compatible with BI tools and analytics platforms, enabling immediate visualization and insight generation. Actowiz also implemented scheduled refresh cycles to maintain data accuracy amid frequent platform updates. The end result was a reliable, repeatable intelligence system supporting both short-term tactical decisions and long-term strategic planning.
“Actowiz Solutions transformed our competitive research capabilities. Their European Food Delivery Benchmarking framework gave us unprecedented visibility into platform performance across Europe. The data accuracy, scalability, and ongoing support exceeded expectations.”
— Head of Market Intelligence, Strategy Consulting Firm
Actowiz specializes in European Food Delivery Benchmarking, ensuring domain-specific accuracy and relevance.
Our solutions handle high-frequency updates and large datasets effortlessly.
Tailored datasets aligned with client KPIs, reporting tools, and strategic goals.
From requirement analysis to post-delivery optimization, Actowiz ensures long-term value creation.
This case study demonstrates how Actowiz Solutions empowered data-driven decision-making through advanced Web scraping API, Custom Datasets, and instant data scraper capabilities. By delivering accurate, scalable, and actionable food delivery intelligence, Actowiz enabled the client to benchmark platforms, identify market opportunities, and refine competitive strategies across Europe. Businesses seeking reliable food delivery insights can partner with Actowiz Solutions to unlock real-time market intelligence and sustainable growth.
Europe’s food delivery market is highly fragmented, with regional players, varying regulations, and localized consumer preferences. Benchmarking helps businesses compare pricing, delivery efficiency, and platform reach to identify competitive advantages.
Common data points include restaurant listings, delivery fees, surge pricing, minimum order values, estimated delivery times, promotions, and customer ratings across cities and platforms.
Given the high volatility of pricing and availability, weekly or even daily updates are recommended for accurate market intelligence and decision-making.
Yes, when performed ethically and responsibly. Actowiz Solutions follows best practices for data compliance, ensuring publicly available data is collected without violating platform policies.
Food tech startups, restaurant chains, aggregators, investors, and consulting firms can all leverage benchmarking insights to optimize pricing, expansion strategies, and competitive positioning.
Look Back Analyze historical data to discover patterns, anomalies, and shifts in customer behavior.
Find Insights Use AI to connect data points and uncover market changes. Meanwhile.
Move Forward Predict demand, price shifts, and future opportunities across geographies.
Industry:
Fintech / Digital Payments
Result
Accurate daily voucher &
cashback visibility across platforms
“Actowiz Solutions helped us automate daily voucher and cashback data collection across PhonePe, Paytm, Flipkart, and Hubble. The API-driven delivery significantly improved offer accuracy and operational efficiency.”
Product Manager, Fintech Platform (India)
✓ Daily voucher & cashback tracking via Push & Pull APIs
Coffee / Beverage / D2C
2x Faster
Smarter product targeting
“Actowiz Solutions has been instrumental in optimizing our data scraping processes. Their services have provided us with valuable insights into our customer preferences, helping us stay ahead of the competition.”
Operations Manager, Beanly Coffee
✓ Competitive insights from multiple platforms
Real Estate
Real-time RERA insights for 20+ states
“Actowiz Solutions provided exceptional RERA Website Data Scraping Solution Service across PAN India, ensuring we received accurate and up-to-date real estate data for our analysis.”
Data Analyst, Aditya Birla Group
✓ Boosted data acquisition speed by 3×
Organic Grocery / FMCG
Improved
competitive benchmarking
“With Actowiz Solutions' data scraping, we’ve gained a clear edge in tracking product availability and pricing across various platforms. Their service has been a key to improving our market intelligence.”
Product Manager, 24Mantra Organic
✓ Real-time SKU-level tracking
Quick Commerce
Inventory Decisions
“Actowiz Solutions has greatly helped us monitor product availability from top three Quick Commerce brands. Their real-time data and accurate insights have streamlined our inventory management and decision-making process. Highly recommended!”
Aarav Shah, Senior Data Analyst, Mensa Brands
✓ 28% product availability accuracy
✓ Reduced OOS by 34% in 3 weeks
3x Faster
improvement in operational efficiency
“Actowiz Solutions' data scraping services have helped streamline our processes and improve our operational efficiency. Their expertise has provided us with actionable data to enhance our market positioning.”
Business Development Lead,Organic Tattva
✓ Weekly competitor pricing feeds
Beverage / D2C
Faster
Trend Detection
“The data scraping services offered by Actowiz Solutions have been crucial in refining our strategies. They have significantly improved our ability to analyze and respond to market trends quickly.”
Marketing Director, Sleepyowl Coffee
Boosted marketing responsiveness
Enhanced
stock tracking across SKUs
“Actowiz Solutions provided accurate Product Availability and Ranking Data Collection from 3 Quick Commerce Applications, improving our product visibility and stock management.”
Growth Analyst, TheBakersDozen.in
✓ Improved rank visibility of top products
Real results from real businesses using Actowiz Solutions
In Stock₹524
Price Drop + 12 minin 6 hrs across Lel.6
Price Drop −12 thr
Improved inventoryvisibility & planning
Actowiz's real-time scraping dashboard helps you monitor stock levels, delivery times, and price drops across Blinkit, Amazon: Zepto & more.
✔ Scraped Data: Price Insights Top-selling SKUs
"Actowiz's helped us reduce out of stock incidents by 23% within 6 weeks"
✔ Scraped Data, SKU availability, delivery time
With hourly price monitoring, we aligned promotions with competitors, drove 17%
Actionable Blogs, Real Case Studies, and Visual Data Stories -All in One Place
Deep dive into the UAEs quick-commerce battle. Compare Noon Minutes and Talabat Mart pricing, speed, and market data with Actowiz Solutions.
Actowiz Solutions tracks hyperlocal Glovo prices in Barcelona using high-frequency q-commerce scraping to monitor pricing, promos, and availability.
Discover 10 powerful ways data scraping boosts business growth, from competitive price intelligence and demand forecasting to inventory tracking and market monitoring.
UAE E-Commerce & Quick Commerce SKU Data Analysis delivers insights on pricing, availability, trends, and performance to optimize catalogs and growth.
Scraping spices product data from ecommerce helps track prices, availability, brands, and demand trends for smarter sourcing decisions.
Learn how Web Scraping Instacart Product Availability by Zip Code helps retailers track stock, optimize inventory, and improve delivery efficiency
Grab Rewards Data Scraping helps analyze reward points, offers, redemption trends, and user incentives to optimize loyalty and engagement strategies.
Web Scraping Grab Gift Card Data helps track demand, usage patterns, pricing trends, and consumer behavior across digital platforms.
Real-time grocery price changes across Walmart, Instacart and Target. Track top SKU drops, increases and hourly volatility with Actowiz Solutions.
Enhance deep learning performance with large-scale image scraping. Build diverse, high-quality training datasets to improve AI accuracy, object detection, and model generalization.
City-Wise SKU Demand and Pricing Trends - E-Commerce & Q-Commerce multi-Platforms, insights to compare demand, pricing, and growth patterns across cities
UK Grocery Market Analysis 2026 - Tesco, Asda, Sainsbury’s & Morrisons delivers insights on pricing, market share, competition, and consumer trends shaping retail.
Benefit from the ease of collaboration with Actowiz Solutions, as our team is aligned with your preferred time zone, ensuring smooth communication and timely delivery.
Our team focuses on clear, transparent communication to ensure that every project is aligned with your goals and that you’re always informed of progress.
Actowiz Solutions adheres to the highest global standards of development, delivering exceptional solutions that consistently exceed industry expectations