For every successful marketing strategy and increase in ROI, accurate data is the key for every company. VentiveIQ's data helps companies to reach the consumer at an individual level. We provide more than 100 plus consumer attributes including gender, income, marital status, pet owners and many more. The consumer data can further be tied to unique MAID's which can help companies with digital marketing.

Powered by more than 50 billion 2nd party content consumption signals, along with 180byTwo’s proprietary corporate places database, and AI; eCHO is the industry's first predictive B2B Intent solution designed specifically to solve B2B marketers biggest challenges.

With eCHO, marketers are able to leverage the most comprehensive set of predictive B2B intent signals covering more than 6,000+ granular industry topics at 21M+ company locations. Whether your marketing objective is to identify the right accounts to create an accurate profile of your ideal customer, or to target key customer or prospect accounts across activation channels, eCHO is designed to help optimize your B2B and ABM programs!

BatchData Marketing Prospects data are frequently used to find new leads to target. BatchData is committed to data quality, providing accurate, up-to-date marketing data through a suite of APIs, data delivery services, and self-service tools.

MARKETING LISTS WITH CONTACT INFORMATION BatchData uniquely provides emails and phone numbers of marketable contacts in your list. With industry-leading right party contact rates, you'll get the most out of your marketing and prospects lists. We've got you covered with the highest quality prospect data for your business - B2C Contact data including new homeowner data, phone number data, email address data, and more!

THE DATA DIFFERENCE: We start by sourcing data from multiple providers, cleaning and enriching the data with our in-house data science team, and leveraging user feedback to continually refine property and contact records.

ACCESS MARKETING PROSPECTS DATA INCLUDING: US Homeowners Marketing Prospect Data Updated daily using multiple public record sources including county assessors and recorders.

New Homeowner Data Market to homeowner as they move in and are looking for products and services. Includes MLS information and data compiled from deed recordings.

Distressed Property Owner Marketing Prospect Data Identify homeowners with financial, situational, or physical property distress factors. Including Defaults, lis Pendents, auctions, pre-foreclosures, vacant properties, out-of-state owners, and more.

Commercial Property Marketing Prospect Data Target 25M+ commercial, agricultural, and industrial marketing prospects with reliable entity resolution to uncover true commercial prospects behind LLCs and corporate veils.

INVESTOR MARKETING PROSPECT DATA Market to prospects who own multiple properties, or are actively making cash investments in specific types of real estate assets.

REAL ESTATE AGENT MARKETING PROSPECT DATA Target specific agents to market products and services to including the ability to focus on transactional volume, number of transactions, and the types of properties agents and specific MLS markets your ideal agents are representing.

Base data • Name/Brand • Adress • Geocoordinates • Opening Hours • Phone • ...

25+ Fuel Types like • Regular • Mid-Grade • Premium • Diesel • DEF • CNG •...

30+ Services and characteristics like • Carwash • Shop • Restaurant • Toilet • ATM • Pay at Pump •...

20+ Payment options • Cash • Visa • MasterCard • Fueling Cards • Google Pay • ...

Xavvy fuel is the leading source for Gas Station Location Data and Gasoline Price data worldwide and specialized in data quality and enrichment. Xavvy provides POI Data of gas stations at a high quality level for the United States. Next to base information like name/brand, address, geo-coordinates or opening hours, there are also detailed information about available fuel types, accessibility, special services, or payment options for each station. The level of information to be provided is highly customizable. One-time or regular data delivery, push or pull services, and any data format – we adjust to our customer’s needs.

Total number of stations per country or region, distribution of market shares among competitors or the perfect location for new gas stations, charging stations or hydrogen dispensers - our gas station data and gasoline price data provides answers to various questions and offers the perfect foundation for in-depth analyses and statistics. In this way, our data helps customers from various industries to gain more valuable insights into the fuel market and its development. Thereby providing an unparalleled basis for strategic decisions such as business development, competitive approach or expansion.

In addition, our data can contribute to the consistency and quality of an existing dataset. Simply map data to check for accuracy and correct erroneous data.

Especially if you want to display information about gas stations on a map or in an application, high data quality is crucial for an excellent customer experience. Therefore, our processing procedures are continuously improved to increase data quality:

• regular quality controls • Geocoding systems correct and specify geocoordinates • Data sets are cleaned and standardized • Current developments and mergers are taken into account • The number of data sources is constantly expanded to map different data sources against each other

Integrate the largest database of Retail Gas Station Location Data, Amenities and accurate Diesel and Gasoline Price Data in Europe and North America into your business. Check out our other Data Offerings available, and gain more valuable market insights on gas stations directly from the experts!

BatchData's Deed Dataset - Real Estate Transaction Data + Property Transaction Data

Unlock a wealth of historical real estate insights with BatchData's Deed Dataset. This premium offering provides detailed real estate transaction data, including comprehensive property transaction records with over 15 critical data points. Whether you're analyzing market trends, assessing investment opportunities, or conducting in-depth property research, this dataset delivers the granular information you need.

Why Choose BatchData?

At BatchData, we are committed to delivering the most accurate and comprehensive datasets in the industry. Our Deed Dataset exemplifies our dedication to quality and precision:

• Comprehensive Datasets: As a single-vendor provider, we offer an extensive array of data including property, homeowner, mortgage, listing, valuation, permit, demographic, foreclosure, and contact information. All this is available from one reliable source, streamlining your data acquisition process.

• Technical Excellence: Our dataset comes with clear documentation, purpose-built APIs, and extensive developer resources. Our technical teams are supported by robust engineering resources to ensure seamless integration and utilization.

• Tailor-Fit Pricing and Packaging: We understand that different businesses have different needs. That’s why we offer flexible pricing models and practical API metering. You only pay for the data you need, making our solutions scalable and aligned with your business objectives.

• Unmatched Contact Information Accuracy: We lead the industry with superior right-party contact rates, ensuring you get multiple accurate contact points, including highly reliable phone numbers.

Choose BatchData for your real estate data needs and experience unparalleled accuracy and flexibility in data solutions.

This Location Data & Foot traffic dataset available for all countries include enriched raw mobility data and visitation at POIs to answer questions such as:

-How often do people visit a location? (daily, monthly, absolute, and averages). -What type of places do they visit ? (parks, schools, hospitals, etc) -Which social characteristics do people have in a certain POI? - Breakdown by type: residents, workers, visitors. -What's their mobility like enduring night hours & day hours?
-What's the frequency of the visits partition by day of the week and hour of the day?

Extra insights -Visitors´ relative income Level. -Visitors´ preferences as derived by their visits to shopping, parks, sports facilities, churches, among others.

Overview & Key Concepts Each record corresponds to a ping from a mobile device, at a particular moment in time and at a particular latitude and longitude. We procure this data from reliable technology partners, which obtain it through partnerships with location-aware apps. All the process is compliant with applicable privacy laws.

We clean and process these massive datasets with a number of complex, computer-intensive calculations to make them easier to use in different data science and machine learning applications, especially those related to understanding customer behavior.

Featured attributes of the data Device speed: based on the distance between each observation and the previous one, we estimate the speed at which the device is moving. This is particularly useful to differentiate between vehicles, pedestrians, and stationery observations.

Night base of the device: we calculate the approximated location of where the device spends the night, which is usually their home neighborhood.

Day base of the device: we calculate the most common daylight location during weekdays, which is usually their work location.

Income level: we use the night neighborhood of the device, and intersect it with available socioeconomic data, to infer the device’s income level. Depending on the country, and the availability of good census data, this figure ranges from a relative wealth index to a currency-calculated income.

POI visited: we intersect each observation with a number of POI databases, to estimate check-ins to different locations. POI databases can vary significantly, in scope and depth, between countries.

Category of visited POI: for each observation that can be attributable to a POI, we also include a standardized location category (park, hospital, among others). Coverage: Worldwide.

Delivery schemas We can deliver the data in three different formats:

Full dataset: one record per mobile ping. These datasets are very large, and should only be consumed by experienced teams with large computing budgets.

Visitation stream: one record per attributable visit. This dataset is considerably smaller than the full one but retains most of the more valuable elements in the dataset. This helps understand who visited a specific POI, characterize and understand the consumer's behavior.

Audience profiles: one record per mobile device in a given period of time (usually monthly). All the visitation stream is aggregated by category. This is the most condensed version of the dataset and is very useful to quickly understand the types of consumers in a particular area and to create cohorts of users.

This product provides daily, aggregated foot traffic counts at the retail center level, offering comprehensive coverage across over 30,000 retail centers in the United States.

Each mall or retail center is meticulously categorized by type, such as super-regional, power, or lifestyle center, and includes Gross Leasable Area (GLA). This enables robust, structured analysis across various formats and geographical regions.

Distinct from datasets that aggregate tenant-level activity, this product precisely measures the unique number of visits to the retail center itself. It is ground truth validated against physical hardware sensors, ensuring highly accurate measurement even in complex, built-up, and multi-level environments where mobile-only data sources often falter.

Mall-level traffic data can be utilized independently for broad market insights or alongside store-level visit data to understand how individual tenants are performing relative to overall center trends. The data is fully aggregated and anonymized, delivered as a daily feed to support critical business functions such as benchmarking, thorough lease evaluations, and in-depth long-term trend analysis.

At BatchData, we specialize in providing advanced data solutions designed to enhance your business operations. Our Contact Enrichment data offers crucial insights that can transform how you engage with property owners. By uncovering detailed owner information, including contact details (email address data + phone number data) and reachability metrics, you can more effectively target your outreach efforts, tailor your offers, and improve your overall engagement strategies.

Our suite of industry-leading products is built on six years of expertise and rigorous testing of over 50 data providers. With continuous updates and feedback from our 20,000+ users, we ensure that our data remains accurate and actionable -- all the email address data and phone number data you need!

Contact Enrichment Data with access to 12+ data points including: - Owner: Total properties owned, average price, years built, and acquisition dates. - Contact Information: One or multiple 10-digit phone numbers and email addresses. - Reachability: DNC status, known litigators, reachability score, and carrier information.

Common Use Cases: - Investors, Agents & Brokers: Connect with homeowners who might be interested in selling and craft personalized offers. - Home Improvement Services: Target homeowners for services such as remodeling, landscaping, roofing, and painting. - Insurance Companies: Offer insurance policies to homeowners with high-value properties or recent purchases.

Our consumer data is gathered and aggregated via surveys, digital services, and public data sources. We use powerful profiling algorithms to collect and ingest only fresh and reliable data points.

Our comprehensive data enrichment solution includes a variety of data sets that can help you address gaps in your customer data, gain a deeper understanding of your customers, and power superior client experiences. 1. Geography - City, State, ZIP, County, CBSA, Census Tract, etc. 2. Demographics - Gender, Age Group, Marital Status, Language etc. 3. Financial - Income Range, Credit Rating Range, Credit Type, Net worth Range, etc 4. Persona - Consumer type, Communication preferences, Family type, etc 5. Interests - Content, Brands, Shopping, Hobbies, Lifestyle etc. 6. Household - Number of Children, Number of Adults, IP Address, etc. 7. Behaviours - Brand Affinity, App Usage, Web Browsing etc. 8. Firmographics - Industry, Company, Occupation, Revenue, etc 9. Retail Purchase - Store, Category, Brand, SKU, Quantity, Price etc. 10. Auto - Car Make, Model, Type, Year, etc. 11. Housing - Home type, Home value, Renter/Owner, Year Built etc.

Consumer Graph Schema & Reach: Our data reach represents the total number of counts available within various categories and comprises attributes such as country location, MAU, DAU & Monthly Location Pings:

Data Export Methodology: Since we collect data dynamically, we provide the most updated data and insights via a best-suited method on a suitable interval (daily/weekly/monthly).

Consumer Graph Use Cases: 360-Degree Customer View: Get a comprehensive image of customers by the means of internal and external data aggregation. Data Enrichment: Leverage Online to offline consumer profiles to build holistic audience segments to improve campaign targeting using user data enrichment Fraud Detection: Use multiple digital (web and mobile) identities to verify real users and detect anomalies or fraudulent activity. Advertising & Marketing: Understand audience demographics, interests, lifestyle, hobbies, and behaviors to build targeted marketing campaigns.

Here's the schema of Consumer Data: person_id first_name last_name age gender linkedin_url twitter_url facebook_url city state address zip zip4 country delivery_point_bar_code carrier_route walk_seuqence_code fips_state_code fips_country_code country_name latitude longtiude address_type metropolitan_statistical_area core_based+statistical_area census_tract census_block_group census_block primary_address pre_address streer post_address address_suffix address_secondline address_abrev census_median_home_value home_market_value property_build+year property_with_ac property_with_pool property_with_water property_with_sewer general_home_value property_fuel_type year month household_id Census_median_household_income household_size marital_status length+of_residence number_of_kids pre_school_kids single_parents working_women_in_house_hold homeowner children adults generations net_worth education_level occupation education_history credit_lines credit_card_user newly_issued_credit_card_user credit_range_new
credit_cards loan_to_value mortgage_loan2_amount mortgage_loan_type
mortgage_loan2_type mortgage_lender_code
mortgage_loan2_render_code
mortgage_lender mortgage_loan2_lender
mortgage_loan2_ratetype mortgage_rate
mortgage_loan2_rate donor investor interest buyer hobby personal_email work_email devices phone employee_title employee_department employee_job_function skills recent_job_change company_id company_name company_description technologies_used office_address office_city office_country office_state office_zip5 office_zip4 office_carrier_route office_latitude office_longitude office_cbsa_code
office_census_block_group
office_census_tract office_county_code
company_phone
company_credit_score
company_csa_code
company_dpbc
company_franchiseflag
company_facebookurl company_linkedinurl company_twitterurl
company_website company_fortune_rank
company_government_type company_headquarters_branch company_home_business
company_industry
company_num_pcs_used
company_num_employees
company_firm_individual company_msa company_msa_name
company_naics_code
company_naics_description
company_naics_code2 company_naics_description2
company_sic_code2
company_sic_code2_description
company_sic_code4 company_sic_code4_description
company_sic_code6
company_sic_code6_description
company_sic_code8
company_sic_code8_description company_parent_company
company_parent_company_location company_public_private company_subsidiary_company company_residential_business_code company_revenue_at_side_code company_revenue_range
company_revenue company_sales_volume
company_small_business company_stock_ticker company_year_founded company_minorityowned
company_female_owned_or_operated company_franchise_code company_dma company_dma_name
company_hq_address
company_hq_city company_hq_duns company_hq_state
company_hq_zip5 company_hq_zip4 co...

Unleash Strategic Insights into US Industrial Contract Manufacturing with Cosmic Link Data

Empower your procurement, market analysis, and supply chain optimization strategies with Cosmic Link Data, the premier source for verified, real-time capabilities and processes of US industrial contract manufacturers.

What Makes Our Data Unique?

Verified & Comprehensive: Our data undergoes rigorous verification processes, ensuring accuracy and reliability.

Granular Coverage: Dive deep into B2B company details, NAICS codes, equipment utilized, industries served, certifications held, SAM registration status, and precise geolocation for targeted outreach.

How is the Data Sourced?

We leverage a multi-source approach, combining verified B2B information, industry directories, government databases, and supplier self-reported data. This comprehensive approach ensures the most accurate and up-to-date picture of the US industrial contract manufacturing landscape.

Primary Use Cases and Verticals:

Procurement: Source reliable suppliers and negotiate competitive terms with comprehensive company profiles and equipment details.

Market Analysis: Identify new market segments and opportunities through in-depth industry coverage and historical trend analysis.

Supply Chain Optimization: Streamline your supply chain by pinpointing geographically located manufacturers with the capabilities you need and quality and process certifications for added assurance.

Cosmic Link Data as Part of Your Broader Strategy:

This data product is a cornerstone of our US manufacturing data offering. It seamlessly integrates with our broader datasets, allowing you to gain a holistic view of the entire US manufacturing ecosystem, from raw materials and components to finished goods and distribution channels.

By leveraging Cosmic Link Data, you can gain a strategic edge in the dynamic world of US industrial contract manufacturing. Make data-driven decisions with confidence, optimize your operations, and uncover new growth opportunities.

This product provides daily, aggregated visit counts to over 2,000 Restaurant Chains across the U.S, with historical coverage commencing on January 1, 2019. In addition to extensive historical data, it uniquely features visit forecasts for the upcoming 90 days. These forecasts are updated monthly using proprietary modeling techniques to ensure accuracy and relevance.

Leveraging the unique nature of the underlying data, this product is capable of accurately measuring individual stores even within challenging multi-level and densely built-up urban environments, a common limitation for many other data providers.

Each POI is meticulously mapped to a standardized two-level retail category hierarchy, facilitating structured and comparative analysis across diverse retail formats and sectors.

The data is fully aggregated and anonymized, with no device-level records included, ensuring privacy and compliance. Delivered as a daily feed, it supports a wide array of critical business use cases, including precise trend analysis, accurate demand forecasting, competitive benchmarking, and continuous location performance monitoring.

Gain a Competitive Edge in the US Government Contracting Landscape with Cosmic Link Data

Empower your business development and government contracting efforts with Cosmic Link Data, the premier source for comprehensive and verified data on US government contractors.

What Makes Our Data Unique?

Verified & Up-to-Date: Our data undergoes rigorous verification processes, ensuring accuracy and reliability.

Real-Time & Historical: Make informed decisions with the latest data feeds, complemented by 60 days of historical data for trend analysis.

Granular Insights: Dive deep into B2B company profiles, NAICS codes, equipment utilized, industries served, certifications, SAM registration status, and precise geolocation for targeted outreach.

How is the Data Sourced?

We cultivate a multi-source approach, combining verified B2B information, industry directories, government databases, and supplier self-reported data. This comprehensive strategy guarantees the most accurate and current picture of the US government contracting landscape.

Primary Use Cases and Verticals:

Business Development: Identify and target qualified government contractors for potential partnerships and collaborations.

Government Contracting: Streamline your bidding process by pinpointing contractors with the specific capabilities and certifications required for government projects.

Cosmic Link Data as Part of Your Broader Strategy:

This data product seamlessly integrates with our broader US manufacturing data offerings. This allows you to gain a holistic view of the entire ecosystem, from raw materials and components to finished goods and distribution channels, with a specific focus on government contracting capabilities.

By leveraging Cosmic Link Data, you can:

Shorten sales cycles: Identify the right leads faster and increase your win rates on government contracts.

Optimize resource allocation: Focus your resources on the most promising opportunities.

Gain a competitive edge: Make data-driven decisions and confidently navigate the dynamic world of US government contracting.

Our consumer data is gathered and aggregated via surveys, digital services, and public data sources. We use powerful profiling algorithms to collect and ingest only fresh and reliable data points.

Our comprehensive data enrichment solution includes a variety of data sets that can help you address gaps in your customer data, gain a deeper understanding of your customers, and power superior client experiences.

1. Geography - City, State, ZIP, County, CBSA, Census Tract, etc.
2. Demographics - Gender, Age Group, Marital Status, Language etc.
3. Financial - Income Range, Credit Rating Range, Credit Type, Net worth Range, etc
4. Persona - Consumer type, Communication preferences, Family type, etc
5. Interests - Content, Brands, Shopping, Hobbies, Lifestyle etc.
6. Household - Number of Children, Number of Adults, IP Address, etc.
7. Behaviours - Brand Affinity, App Usage, Web Browsing etc.
8. Firmographics - Industry, Company, Occupation, Revenue, etc
9. Retail Purchase - Store, Category, Brand, SKU, Quantity, Price etc.
10. Auto - Car Make, Model, Type, Year, etc.
11. Housing - Home type, Home value, Renter/Owner, Year Built etc.

Consumer Graph Schema & Reach: Our data reach represents the total number of counts available within various categories and comprises attributes such as country location, MAU, DAU & Monthly Location Pings:

Data Export Methodology: Since we collect data dynamically, we provide the most updated data and insights via a best-suited method on a suitable interval (daily/weekly/monthly).

Consumer Graph Use Cases: 360-Degree Customer View: Get a comprehensive image of customers by the means of internal and external data aggregation. Data Enrichment: Leverage Online to offline consumer profiles to build holistic audience segments to improve campaign targeting using user data enrichment Fraud Detection: Use multiple digital (web and mobile) identities to verify real users and detect anomalies or fraudulent activity. Advertising & Marketing: Understand audience demographics, interests, lifestyle, hobbies, and behaviors to build targeted marketing campaigns.

Here's the schema of Consumer Data: person_id first_name last_name age gender linkedin_url twitter_url facebook_url city state address zip zip4 country delivery_point_bar_code carrier_route walk_seuqence_code fips_state_code fips_country_code country_name latitude longtiude address_type metropolitan_statistical_area core_based+statistical_area census_tract census_block_group census_block primary_address pre_address streer post_address address_suffix address_secondline address_abrev census_median_home_value home_market_value property_build+year property_with_ac property_with_pool property_with_water property_with_sewer general_home_value property_fuel_type year month household_id Census_median_household_income household_size marital_status length+of_residence number_of_kids pre_school_kids single_parents working_women_in_house_hold homeowner children adults generations net_worth education_level occupation education_history credit_lines credit_card_user newly_issued_credit_card_user credit_range_new
credit_cards loan_to_value mortgage_loan2_amount mortgage_loan_type
mortgage_loan2_type mortgage_lender_code
mortgage_loan2_render_code
mortgage_lender mortgage_loan2_lender
mortgage_loan2_ratetype mortgage_rate
mortgage_loan2_rate donor investor interest buyer hobby personal_email work_email devices phone employee_title employee_department employee_job_function skills recent_job_change company_id company_name company_description technologies_used office_address office_city office_country office_state office_zip5 office_zip4 office_carrier_route office_latitude office_longitude office_cbsa_code
office_census_block_group
office_census_tract office_county_code
company_phone
company_credit_score
company_csa_code
company_dpbc
company_franchiseflag
company_facebookurl company_linkedinurl company_twitterurl
company_website company_fortune_rank
company_government_type company_headquarters_branch company_home_business
company_industry
company_num_pcs_used
company_num_employees
company_firm_individual company_msa company_msa_name
company_naics_code
company_naics_description
company_naics_code2 company_naics_description2
company_sic_code2
company_sic_code2_description
company_sic_code4 company_sic_code4_description
company_sic_code6
company_sic_code6_description
company_sic_code8
company_sic_code8_description company_parent_company
company_parent_company_location company_public_private company_subsidiary_company company_residential_business_code company_revenue_at_side_code company_revenue_range
company_revenue company_sales_volume
company_small_business company_stock_ticker company_year_founded company_minorityowned
company_female_owned_or_operated company_franchise_code company_dma company_dma_name
company_hq_address
company_hq_city company_hq_duns company_hq_state
company_hq_zip5 company_hq_zip4 c...

Q - What makes your data unique?
A - The data is based on Efficient Frontier Analysis (EFA) which accurately measures bank performance but also reveals the best level of performance for the given business portfolio of each bank as well as the optimal business portfolio for maximizing profit. The ratings are superior to any traditional or other measures of bank operational efficiency and business quality because they not only measure performance, but indicate the limits of performance based on the underlying business portfolio of each bank. Using EFA also eliminates the "noise" of industry and economic trends because the Efficient Frontier moves with such trends and automatically accounts for them. Further, Efficient Frontiers exist for each reported expense item allowing detailed ratings of each resource of a bank's operations. Q - How is the data generally sourced?
A - The ratings are generated using data from bank Call Reports filed with the FDIC quarterly. The Call Reports contain vast amounts of data on the financial and operating results of each bank and provides a robust and consistent set of measures from which to generate Efficient Frontiers. Because all banks with FDIC insurance must file Call Reports with the FDIC, we can provide ratings on more than 99% of all FDIC insured banks. Q - What are the primary use-cases or verticals of this Data Product? A - Investors use the measures to differentiate high performing banks from the pack or identify improving or declining banks. PE and other acquirers/owner firms will do likewise, as well as seek insights on how to best improve performance of portfolio companies, target acquisitions, model post-acquisition integrations, etc. Bank management use the measures to identify competitive advantages and weaknesses as well as measuring the potential benefit of improving/retaining a level of performance relative to peers. Q - How does this Data Product fit into your broader data offering? A - Hoeg & Company, Ltd. provides Operational Efficiency & Business Quality Ratings on Banks, Credit Unions & Insurers using EFA. These financial industries all have rigorous regulatory requirements and standards for financial and operational performance reporting (Call Reports & Statutory Financial Reports) which assures detailed, accurate and consistent data that facilitates EFA. Our bank ratings are our most extensively produced set of ratings.

BigBox API provides reliable, real-time Home Depot product, category, reviews, and offers data. All data includes comprehensive coverage of each of the search results in a cleanly structured output.

You can originate your request from any zip code (US) to see results as they would appear to customers in the specified location i.e. shipping info. BigBox APIs high-capacity, global infrastructure assures you the highest level of performance and reliability. For easy integration with your Home Depot data apps and services, data is delivered in JSON or CSV format.

Data is retrieved by search term, search results page URL, or for single products, by the Home Depot item ID or by global identifiers such as GTIN, ISBN, UPC and EAN. GTIN-based requests work by looking up the GTIN/ISBN/UPC on Home Depot first, then retrieving the product details for the first matching item ID.

So what's in the data from BigBox API?

Product: - Item & parent ID - UPC - Store SKU - In-store bay &/or aisle - Product specifications - Description - Imagery - Product videos - Buy Box winner: price and fulfillment info - Rating & reviews count - Descriptive attributes

Search results: - Product details per search result: - Position - Related queries - Pagination - Facets

How can BigBox API be used? - Product listing management - Price monitoring - Category & product trends monitoring - Market research & competitor intelligence - Location-specific shipping data - Rank tracking on Home Depot

...and more, depending on your request parameters or the search result.

Who uses BigBox API? This data is leveraged by software developers, marketers & business owners, sales & business development teams, researchers, and data analysts & engineers, in ecommerce, other retail business, agencies and SaaS platforms.

Anyone in your organization who works with your digital presence can develop business intelligence and strategy using this advanced product data.

RedCircle API provides reliable, real-time Target product, category, reviews, offers, and search results data. All data includes comprehensive coverage of each of the search results in a cleanly structured output.

You can originate your request from any zip code (US) to see results as they would appear to customers in the specified location i.e. shipping info. RedCircle APIs high-capacity, global infrastructure assures you the highest level of performance and reliability. For easy integration with your Target data apps and services, data is delivered in JSON or CSV format.

Data is retrieved by search term, or for single products, by the Target product ID (TCIN), or other unique Target identifier: department-class-item ID (DPCI). You can also submit a product page URL (product results) or a category ID (category search results) instead.

So what's in the data from RedCircle API?

Product: - 1st party, 2nd party & 3rd party seller data - Product specifications - Imagery - Product videos - Description - Buy Box winner: price, availability and fulfillment info - Top reviews - Promotions

Search results: - Product details per search result: - Position - Related queries - Pagination - Categories - Facets

...and more, depending on your request parameters or the search result.

How can RedCircle API be used? - Product listing management - Price monitoring - Category & product trends monitoring - Market research & competitor intelligence - Location-specific shipping data - Rank tracking on Target

Who uses RedCircle API? This data is leveraged by software developers, marketers & business owners, sales & business development teams, researchers, and data analysts & engineers, in ecommerce, other retail business, agencies and SaaS platforms.

Anyone in your organization who works with your digital presence can develop business intelligence and strategy using this advanced product data.