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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] => 216.73.216.160
                    [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] => 216.73.216.160
                    [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
)

Top Dataset Resources

View all Datasets

Amazon

Walmart

Target

eBay

Etsy

Flipkart

Zara

Lazada

E-Commerce Datasets Explained

Use structured e-commerce datasets to extract insights, enhance product strategies, and grasp customer preferences. With our e-commerce data scraping, product catalog scraping, and market research data extraction capabilities, we ensure accurate and up-to-date information on:

• Product Name
• Product Category
• Product Subcategory
• Brand Name
• Product Description
• Product Image URL
• Product SKU
• UPC Code
• Price
• Discounted Price
• Currency
• Product Weight
• Product Dimensions
• Variants (e.g., size, color)
• Inventory Quantity
• Stock Availability
• Product Reviews
• Customer Ratings
• Customer Reviews
• Seller Information
• Seller Ratings
• Shipping Options
• Shipping Costs
• Delivery Time
• Return Policy
• Promotional Offers
• Sales Data
• Order History
• Customer Information
• Transaction ID

Get Started

Amazon

Amazon Product Details and Pricing

• Product Name
• Product URL
• Product ID (ASIN)
• Category
• Brand
• Price
• Discounted Price
• Rating
• Number of Reviews
• Product Description
• Features
• Stock Availability
• Shipping Info
• Product Images
• Product Dimensions
• Weight

Product Name	Product URL	Product ID (ASIN)	Category	Brand	Price	Discounted Price	Rating	Number of Reviews	Product Description	Features	Stock Availability	Shipping Info	Product Images	Product Dimensions	Weight
Example Product 1	https://www.amazon.com/dp/B09EXAMPLE1	B09EXAMPLE1	Electronics	BrandName	$199.99	$179.99	4.5	1500	High-performance laptop	16GB RAM, 512GB SSD	In stock	Free shipping	https://image-url1.jpg	13.3 x 9.5 x 0.7 inches	2.5 lbs
Example Product 2	https://www.amazon.com/dp/B09EXAMPLE2	B09EXAMPLE2	Home Appliances	HomeTech	$89.99	$79.99	4.0	300	Smart air purifier	HEPA filter, Quiet operation	Out of stock	Not available	https://image-url2.jpg	10 x 10 x 8 inches	5 lbs

Amazon Search Results & Categories

• Product Name
• Product URL
• Product ID (ASIN)
• Category
• Brand
• Price
• Rating
• Number of Reviews
• Is Prime Eligible
• Discounted Price
• Shipping Info
• Product Images
• Position in Search
• Search Query

Product Name	Product URL	Product ID (ASIN)	Category	Brand	Price	Rating	Number of Reviews	Is Prime Eligible	Discounted Price	Shipping Info	Product Images	Position in Search	Search Query
Example Product 1	https://www.amazon.com/dp/B09EXAMPLE1	B09EXAMPLE1	Electronics	BrandName	$199.99	4.5	1500	Yes	$179.99	Free shipping	https://image-url1.jpg	1	Laptops
Example Product 2	https://www.amazon.com/dp/B09EXAMPLE2	B09EXAMPLE2	Home Appliances	HomeTech	$89.99	4	300	No	$79.99	Not available	https://image-url2.jpg	2	Air Purifiers
Example Product 3	https://www.amazon.com/dp/B09EXAMPLE3	B09EXAMPLE3	Kitchen Appliances	KitchenPro	$59.99	3.8	500	Yes	$49.99	Free shipping	https://image-url3.jpg	3	Air Fryers
Example Product 4	https://www.amazon.com/dp/B09EXAMPLE4	B09EXAMPLE4	Toys & Games	FunToys	$19.99	4.7	2000	Yes	$17.99	Free shipping	https://image-url4.jpg	4	Kids Toys

Amazon Product Reviews and Ratings

• Product Name
• Product URL
• Product ID (ASIN)
• Review Title
• Review Content
• Rating
• Review Date
• Reviewer Name
• Verified Purchase
• Helpful Votes
• Review Images
• Review Language
• Review Length (Words)
• Review Sentiment

Product Name	Product URL	Product ID (ASIN)	Review Title	Review Content	Rating	Review Date	Reviewer Name	Verified Purchase	Helpful Votes	Review Images	Review Language	Review Length (Words)	Review Sentiment
Example Product 1	https://www.amazon.com/dp/B09EXAMPLE1	B09EXAMPLE1	Excellent Laptop!	This laptop is amazing...	5	2024-12-01	John Doe	Yes	25	https://image-url1.jpg	English	100	Positive
Example Product 2	https://www.amazon.com/dp/B09EXAMPLE2	B09EXAMPLE2	Not Worth the Price	I expected more from this...	2	2024-11-25	Jane Smith	No	10	https://image-url2.jpg	English	150	Negative
Example Product 3	https://www.amazon.com/dp/B09EXAMPLE3	B09EXAMPLE3	Great Value for Money	Perfect for the price!	4	2024-11-20	Mark Johnson	Yes	50	https://image-url3.jpg	English	120	Positive
Example Product 4	https://www.amazon.com/dp/B09EXAMPLE4	B09EXAMPLE4	Disappointed	The product broke after...	1	2024-11-18	Lisa Brown	Yes	5	https://image-url4.jpg	English	80	Negative

Walmart

Walmart Search Results Page

• Product Name
• Product URL
• Product ID (SKU)
• Category
• Brand
• Price
• Rating
• Number of Reviews
• Is Available for Pickup
• Discounted Price
• Shipping Info
• Product Images
• Position in Search
• Search Query

Product Name	Product URL	Product ID (SKU)	Category	Brand	Price	Rating	Number of Reviews	Is Available for Pickup	Discounted Price	Shipping Info	Product Images	Position in Search	Search Query
Example Product 1	https://www.walmart.com/ip/B09EXAMPLE1	123456789	Electronics	BrandName	$199.99	4.5	1500	yes	$179.99	Free shipping	https://image-url1.jpg	1	Laptops
Example Product 2	https://www.walmart.com/ip/B09EXAMPLE2	987654321	Home Appliances	HomeTech	$89.99	4.0	300	No	$79.99	Not available	https://image-url2.jpg	2	Air Purifiers
Example Product 3	https://www.walmart.com/ip/B09EXAMPLE3	112233445	Kitchen Appliances	KitchenPro	$59.99	3.8	500	Yes	$49.99	Free shipping	https://image-url3.jpg	3	Air Fryers
Example Product 4	https://www.walmart.com/ip/B09EXAMPLE4	667788990	Toys & Games	FunToys	$19.99	4.7	2000	Yes	$17.99	Free shipping	https://image-url4.jpg	4	Kids Toys

Walmart Product Details & Pricing

• Product Name
• Product URL
• Product ID (SKU)
• Category
• Brand
• Price
• Discounted Price
• Rating
• Number of Reviews
• Product Description
• Product Features
• Stock Availability
• Shipping Info
• Product Images
• Product Dimensions
• Weight
• Color
• Material

Product Name	Product URL	Product ID (SKU)	Category	Brand	Price	Discounted Price	Rating	Number of Reviews	Product Description	Product Features	Stock Availability	Shipping Info	Product Images	Product Dimensions	Weight	Color	Material
Example Product 1	https://www.walmart.com/ip/B09EXAMPLE1	123456789	Electronics	BrandName	$199.99	$179.99	4.5	1500	High-performance laptop	16GB RAM, 512GB SSD	In stock	Free shipping	https://image-url1.jpg	13.3 x 9.5 x 0.7 inches	2.5 lbs	Black	Plastic
Example Product 2	https://www.walmart.com/ip/B09EXAMPLE2	987654321	Home Appliances	HomeTech	$89.99	$79.99	4.0	300	Smart air purifier	HEPA filter, Quiet operation	Out of stock	Not available	https://image-url2.jpg	10 x 10 x 8 inches	5 lbs	White	Metal
Example Product 3	https://www.walmart.com/ip/B09EXAMPLE3	112233445	Kitchen Appliances	KitchenPro	$59.99	$49.99	3.8	500	Air fryer with multiple settings	Digital control, 4.2L capacity	In stock	Free shipping	https://image-url3.jpg	12 x 12 x 8 inches	3.5 lbs	Red	Stainless Steel
Example Product 4	https://www.walmart.com/ip/B09EXAMPLE4	667788990	Toys & Games	FunToys	$19.99	$17.99	4.7	2000	Fun toy set for kids	100 pieces, non-toxic	In stock	Free shipping	https://image-url4.jpg	10 x 6 x 5 inches	1 lb	Multicolor	Plastic

Walmart Product Reviews & Ratings

• Product Name
• Product URL
• Product ID (SKU)
• Review Title
• Review Content
• Rating
• Review Date
• Reviewer Name
• Verified Purchase
• Helpful Votes
• Review Images
• Review Language
• Review Length (Words)
• Review Sentiment

Product Name	Product URL	Product ID (SKU)	Review Title	Review Content	Rating	Review Date	Reviewer Name	Verified Purchase	Helpful Votes	Review Images	Review Language	Review Length (Words)	Review Sentiment
Example Product 1	https://www.walmart.com/ip/B09EXAMPLE1	123456789	Excellent Laptop!	This laptop is amazing...	5	2024-12-01	John Doe	Yes	25	https://image-url1.jpg	English	100	Positive
Example Product 2	https://www.walmart.com/ip/B09EXAMPLE2	987654321	Not Worth the Price	I expected more from this...	2	2024-11-25	Jane Smith	No	10	https://image-url2.jpg	English	150	Negative
Example Product 3	https://www.walmart.com/ip/B09EXAMPLE3	112233445	Great Value for Money	Perfect for the price!	4	2024-11-20	Mark Johnson	Yes	50	https://image-url3.jpg	English	120	Positive
Example Product 4	https://www.walmart.com/ip/B09EXAMPLE4	667788990	Disappointed	The product broke after...	1	2024-11-18	Lisa Brown	Yes	5	https://image-url4.jpg	English	80	Negative

Target

Target Product Prices and Inventory Availability

• Product Name
• Product URL
• Product ID (SKU)
• Category
• Brand
• Price
• Discounted Price
• Stock Availability
• Availability Status
• Shipping Info
• Product Images
• Store Pickup Availability
• Is Out of Stock
• Color
• Size
• Material

Product Name	Product URL	Product ID (SKU)	Category	Brand	Price	Discounted Price	Stock Availability	Availability Status	Shipping Info	Product Images	Store Pickup Availability	Is Out of Stock	Color	Size	Material
Example Product 1	https://www.target.com/p/B09EXAMPLE1	123456789	Electronics	BrandName	$199.99	$179.99	In stock	Available	Free shipping	https://image-url1.jpg	Available in stores	No	Black	N/A	Plastic
Example Product 2	https://www.target.com/p/B09EXAMPLE2	987654321	Home Appliances	HomeTech	$89.99	$79.99	Out of stock	Out of stock	Not available	https://image-url2.jpg	Not available	Yes	White	N/A	Metal
Example Product 3	https://www.target.com/p/B09EXAMPLE3	112233445	Kitchen Appliances	KitchenPro	$59.99	$49.99	In stock	Available	Free shipping	https://image-url3.jpg	Available in stores	No	Red	Medium	Stainless Steel
Example Product 4	https://www.target.com/p/B09EXAMPLE4	667788990	Toys & Games	FunToys	$19.99	$17.99	In stock	Available	Free shipping	https://image-url4.jpg	Available in stores	No	Multicolor	N/A	Plastic

Target Product Reviews & Ratings

• Product Name
• Product URL
• Product ID (SKU)
• Review Title
• Review Content
• Rating
• Review Date
• Reviewer Name
• Verified Purchase
• Helpful Votes
• Review Images
• Review Language
• Review Length (Words)
• Review Sentiment
• Store Availability

Product Name	Product URL	Product ID (SKU)	Review Title	Review Content	Rating	Review Date	Reviewer Name	Verified Purchase	Helpful Votes	Review Images	Review Language	Review Length (Words)	Review Sentiment	Store Availability
Example Product 1	https://www.target.com/p/B09EXAMPLE1	123456789	Excellent Performance	This laptop works great...	5	2024-12-01	John Doe	Yes	25	https://image-url1.jpg	English	120	Positive	In store availability
Example Product 2	https://www.target.com/p/B09EXAMPLE2	987654321	Disappointed	The product didn’t meet...	2	2024-11-25	Jane Smith	No	10	https://image-url2.jpg	English	150	Negative	Out of stock
Example Product 3	https://www.target.com/p/B09EXAMPLE3	112233445	Good for the price	Good value for money....	4	2024-11-20	Mark Johnson	Yes	50	https://image-url3.jpg	English	100	Positive	In store availability
Example Product 4	https://www.target.com/p/B09EXAMPLE4	667788990	Not worth it	Broke after a week of use	1	2024-11-18	Lisa Brown	Yes	5	https://image-url4.jpg	English	80	Negative	Out of stock

Flipkart

Target Product Prices and Inventory Availability

• Product Name
• Product URL
• Product ID (SKU)
• Category
• Brand
• Price
• Discounted Price
• Rating
• Number of Reviews
• Stock Availability
• Shipping Info
• Product Images
• Product Description
• Product Features
• Size
• Color
• Material

Product Name	Product URL	Product ID (SKU)	Category	Brand	Price	Discounted Price	Rating	Number of Reviews	Stock Availability	Shipping Info	Product Images	Product Description	Product Features	Size	Color	Material
Example Product 1	https://www.flipkart.com/product/B09EXAMPLE1	123456789	Electronics	BrandName	₹1999	₹1799	4.5	1500	In stock	Free shipping	https://image-url1.jpg	High-performance laptop	16GB RAM, 512GB SSD	13.3 inch	Black	Plastic
Example Product 2	https://www.flipkart.com/product/B09EXAMPLE2	987654321	Home Appliances	HomeTech	₹8999	₹7999	4.0	800	Out of stock	Not available	https://image-url2.jpg	Smart air purifier	HEPA filter, Quiet operation	10 x 10 x 8 inches	White	Metal
Example Product 3	https://www.flipkart.com/product/B09EXAMPLE3	112233445	Kitchen Appliances	KitchenPro	₹4999	₹4499	4.2	500	In stock	Free shipping	https://image-url3.jpg	Air fryer with multiple settings	Digital control, 4.2L capacity	12 x 12 x 8 inches	Red	Stainless Steel
Example Product 4	https://www.flipkart.com/product/B09EXAMPLE4	667788990	Toys & Games	FunToys	₹1299	₹1199	4.7	2000	In stock	Free shipping	https://image-url4.jpg	Fun toy set for kids	100 pieces, non-toxic	N/A	Multicolor	Plastic

Flipkart Search Results & Categories

• Product Name
• Product URL
• Product ID (SKU)
• Category
• Brand
• Price
• Discounted Price
• Rating
• Number of Reviews
• Availability
• Shipping Info
• Product Images
• Color
• Size
• Discount Percentage

Product Name	Product URL	Product ID (SKU)	Category	Brand	Price	Discounted Price	Rating	Number of Reviews	Availability	Shipping Info	Product Images	Color	Size	Discount Percentage
Example Product 1	https://www.flipkart.com/product/B09EXAMPLE1	123456789	Electronics	BrandName	₹1999	₹1799	4.5	1500	In stock	Free shipping	https://image-url1.jpg	Black	13.3 inch	10%
Example Product 2	https://www.flipkart.com/product/B09EXAMPLE2	987654321	Home Appliances	HomeTech	₹8999	₹7999	4.0	800	Out of stock	Not available	https://image-url2.jpg	White	10 x 10 x 8 inches	11%
Example Product 3	https://www.flipkart.com/product/B09EXAMPLE3	112233445	Kitchen Appliances	KitchenPro	₹4999	₹4499	4.2	500	In stock	Free shipping	https://image-url3.jpg	Red	12 x 12 x 8 inches	10%
Example Product 4	https://www.flipkart.com/product/B09EXAMPLE4	667788990	Toys & Games	FunToys	₹1299	₹1199	4.7	2000	In stock	Free shipping	https://image-url4.jpg	Multicolor	N/A	8%

Flipkart Product Reviews and Ratings

• Product Name
• Product URL
• Product ID (SKU)
• Review Title
• Review Content
• Rating
• Review Date
• Reviewer Name
• Verified Purchase
• Helpful Votes
• Review Images
• Review Language
• Review Length (Words)
• Review Sentiment
• Review Pros
• Review Cons

Product Name	Product URL	Product ID (SKU)	Review Title	Review Content	Rating	Review Date	Reviewer Name	Verified Purchase	Helpful Votes	Review Images	Review Language	Review Length (Words)	Review Sentiment	Review Pros	Review Cons
Example Product 1	https://www.flipkart.com/product/B09EXAMPLE1	123456789	Excellent Performance	This laptop works great...	5	2024-12-01	John Doe	Yes	25	https://image-url1.jpg	English	120	Positive	Fast, Lightweight	Expensive
Example Product 2	https://www.flipkart.com/product/B09EXAMPLE2	987654321	Disappointed	The product didn’t meet...	2	2024-11-25	Jane Smith	No	10	https://image-url2.jpg	English	150	Negative	Poor quality, Slow	Noisy
Example Product 3	https://www.flipkart.com/product/B09EXAMPLE3	112233445	Kitchen Appliances	KitchenPro	₹4999	₹4499	4.2	500	In stock	Free shipping	https://image-url3.jpg	Red	12 x 12 x 8 inches	10%
Example Product 4	https://www.flipkart.com/product/B09EXAMPLE4	667788990	Toys & Games	FunToys	₹1299	₹1199	4.7	2000	In stock	Free shipping	https://image-url4.jpg	Multicolor	N/A	8%

Adaptable Data Delivery

Tailored to your e-commerce data scraping needs, we provide flexibility in selecting output formats, storage options, and delivery schedules:

• Access e-commerce datasets in JSON, CSV, and other preferred formats;
• Retrieve data through SFTP or integrate directly with cloud storage solutions like Google Cloud Storage, AWS S3, and more;
• Choose one-time, monthly, quarterly, or bi-annual web scraping e-commerce data extraction frequencies to suit your requirements.

Get Started

Easy Integrations

Microsoft Excel

SFTP/FTP

Google Drive

Amazon S3

Google Cloud Storage

Airtable

Custom API

Dropbox

Google Sheets

OneDrive

Secure Premium Company Data with Ease

Premium Industry Datasets on Demand

Access Actowiz's curated e-commerce datasets for precise data insights, sourced by top web data specialists.

Efficiency Meets Expertise

Save time; our team expertly extracts data for analysis, aligning with strategic business goals cost-effectively.

Tailored Data Solutions for Your Enterprise

Receive tailored industry datasets; our flexible methods align with unique business needs for optimal decisions.

Commitment to Ethical Data Practices

Actowiz leads ethical e-commerce data collection, upholding GDPR and CCPA, setting standards for responsible data practices.

Pricing Overview

Standard Pricing

• Standardized Data Offerings with readily accessible datasets.
• Consistent Data Framework that ensures clarity and consistency.
• Top-tier Data Integrity from the most intricate data channels.

Flexible Delivery Options:

• Monthly Updates
• Quarterly Deliveries
• One-off Purchases

Get Started

Recommended

Custom Pricing

• Tailored Data Retrieval precisely aligned with your business needs.
• Adaptable Data Framework crafted to fit your unique needs.
• Scalable & Dynamic Offerings to ensure flexibility and scalability.
• Streamlined Communication ensures smooth and instant communication.

Varied Delivery Options:

• Daily Updates
• Weekly Snapshots
• Monthly Insights
• Quarterly Reports
• Customized Frequencies to Suit You

Get Started

Inclusive Benefits Across All Plans:

Get Started

• Expert Data Extraction
• Regulatory Assurance
• Personalized Support
• Broad Data Coverage

Why Choose Actowiz Solutions’ Datasets?

Assessing Your Data Requirements

Our first step is to delve into your company's specifics and business goals, ensuring we align perfectly with your data aspirations.

Crafting Tailored Data Solutions

Leveraging our robust in-house web scraping tools, we design a bespoke strategy tailored to your data extraction needs.

Sample Data Preview

Experience firsthand with a sample of our company data. Gauge its quality and familiarize yourself with our seamless data delivery mechanism.

Steadfast Data Streamlining

Once aligned, we initiate regular data dispatches based on the frequency and specifications we've mutually agreed upon.

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] => 216.73.216.160
                    [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] => 216.73.216.160
                    [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
)

Start Your Project

+1 ▼

Select Service Web Scraping Real-Time API Access Data Dashboards Datasets Review & Sentiment Analysis Price Monitoring Custom Solution

Select Industry E-Commerce Quick Commerce Food Delivery Travel & OTA Grocery & Retail Real Estate Others

Target Country Web Scraping Services Mobile App Scraping Web and App Scraping API Datasets Dashboard

A$лвR$C$CHF¥Kčkr€£HK$FtRp₪₹kr¥₩Mex$RMkrNZ$₱złleikrS$฿₺$R Budget Range $500 - $1,000 - Starter Budget (POC/Single Site) $1,000 - $2,500 - Basic Plan (Small Business Needs) $2,500 - $5,000 - Growth Phase (Multi-site/Data Volume Projects) $5,000 - $10,000 - Business-Scale (Automation/API Integrations) $10,000 - $25,000 - Enterprise Projects (Real-Time Systems, Global Data) $25,000 - $50,000 - Enterprise+ (Custom Dashboards, Ongoing Support) $50,000+ - Strategic Partnership (End-to-End Data Ops)

Additional Trust Elements

✨ "1000+ Projects Delivered Globally"

⭐ "Rated 4.9/5 on Google & G2"

🔒 "Your data is secure with us. NDA available."

💬 "Average Response Time: Under 12 hours"

From Raw Data to Real-Time Decisions

All in One Pipeline

Scrape → Structure → Analyze → Visualize

Explore Solutions Get a Custom Demo

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.

Ecommerce

Q-Commerce

Travel & OTA

Food Delivery

Real Estate

Social Media

Trusted by Global Leaders – Secured by International Standards

Industry:

Coffee / Beverage / D2C

Result

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

Industry:

Real Estate

Result

2x Faster

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×

Industry:

Organic Grocery / FMCG

Result

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

Industry:

Quick Commerce

Result

2x Faster

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

Industry:

Quick Commerce

Result

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

Industry:

Beverage / D2C

Result

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

Industry:

Quick Commerce

Result

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

Trusted by Industry Leaders Worldwide

Real results from real businesses using Actowiz Solutions

★★★★★

'Great value for the money. The expertise you get vs. what you pay makes this a no brainer"

Thomas Galido

Co-Founder / Head of Product at Upright Data Inc.

2 min

★★★★★

“I strongly recommend Actowiz Solutions for their outstanding web scraping services. Their team delivered impeccable results with a nice price, ensuring data on time.”

Iulen Ibanez

CEO / Datacy.es

1 min

★★★★★

“Actowiz Solutions offered exceptional support with transparency and guidance throughout. Anna and Saga made the process easy for a non-technical user like me. Great service, fair pricing highly recommended!”

Febbin Chacko

-Fin, Small Business Owner

1 min

See Actowiz in Action – Real-Time Scraping Dashboard + Success Insights

Blinkit (Delhi NCR)

In Stock
₹524

Amazon USA

Price Drop + 12 min
in 6 hrs across Lel.6

Appzon AirPdos Pro

Price
Drop −12 thr

Zepto (Mumbai)

Improved inventory
visibility & planning

Monitor Prices, Availability & Trends -Live Across Regions

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

Request Demo Access

Our Data Drives Impact - Real Client Stories

Blinkit | India (Retail Partner)

"Actowiz's helped us reduce out of stock incidents by 23% within 6 weeks"

✔ Scraped Data, SKU availability, delivery time

US Electronics Seller (Amazon - Walmart)

With hourly price monitoring, we aligned promotions with competitors, drove 17%

✔ Scraped Data, SKU availability, delivery time

Zepto Q Commerce Brand

"Actowiz's helped us reduce out of stock incidents by 23% within 6 weeks"

✔ Scraped Data, SKU availability, delivery time

Actowiz Insights Hub

Actionable Blogs, Real Case Studies, and Visual Data Stories -All in One Place

All

Blog

Case Studies

Infographics

Report

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USA Travel Data Scraping Market Report in 2025 - Trends, Tools & Opportunities

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Price Monitoring in UAE - Extract E-commerce & Retail SKU Prices from Dubai Markets with 98% Accuracy

Extract e-commerce and retail SKU prices from Dubai markets with 98% accuracy. Actowiz Solutions enables real-time UAE price monitoring.

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Web Scraping DiDi Rider App Data in Mexico - How 2.8M Monthly Users Drive Market Insights

Explore Web Scraping DiDi Rider App Data in Mexico to uncover insights from 2.8M monthly users, market trends, pricing patterns, and mobility analytics.

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Scrape McDonald’s USA Store Locations Data to Track 13K+ Stores, Market Trends, and Expansion Opportunities

Scrape McDonald’s USA Store Locations Data to track 13K+ stores, analyze market trends, uncover expansion opportunities, and optimize site selection strategies.

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Leveraging McDonald's Store Locations Dataset From USA for Market Expansion & Site Selection Analysis

Discover how McDonald's Store Locations Dataset From USA helps analyze market expansion, optimize site selection, and drive smarter business decisions.

How to Scrape Decathlon Sales Performance Data 2025 to Evaluate Retail Growth and Trends

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Read More

Top 10 Cities with the Most McDonald’s Locations in 2025

Discover the top 10 global cities with the highest number of McDonald’s locations in 2025 and explore trends in fast-food expansion worldwide.

Monthly Tourism Flow Analysis via Hotel Booking Scraping in Sharjah

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India's Holiday Travel Surge Raksha Bandhan to Independence Day 2025

Explore India's holiday travel trends during the 2025 festive season—from Raksha Bandhan to Independence Day. Discover top destinations, travel tips, and booking insights.

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USA Travel Data Scraping Market Report in 2025 - Trends, Tools & Opportunities

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Web Scraping Services in UAE – Market Trends, Challenges, and Opportunities (2025)

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Our perks are irreplaceable

Time Zone Flexibility

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.

Clear Communication

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.

Uncompromising Quality

Actowiz Solutions adheres to the highest global standards of development, delivering exceptional solutions that consistently exceed industry expectations

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