On March 11, 2011, the U.S. Consumer Product Safety Commission launched SaferProducts.gov. This site hosts the agency's new Publicly Available Consumer Product Safety Information Database. On SaferProducts.gov, consumers can submit reports of harm or reports of potential harm. After a short amount of time for review by the agency and named manufacturer, these reports go live on SaferProducts.gov and are searchable by the public. The public also can export search results. The Application Protocol Interface (API), to open the published SaferProducts.gov data to developers and businesses so that the information in SaferProducts.gov can be accessed by an even greater number of consumers online and on mobile devices.

Open API Market size was valued at USD 3 Billion in 2024 and is projected to reach USD 15.53 Billion by 2031, growing at a CAGR of 25.15% during the forecast period 2024-2031.Global Open API Market DefinitionOpen Application Programming Interface (API) or external API is the type of the Application Programming Interface (API), which is freely available or with limited restriction for the third party developers. Open API helps the developers to integrate the API in the open source data and related services for development of applications. Some of the prominent end-users of the open API are IT and telecommunication industry, banking financial services and insurance (BFSI) industry, healthcare, whereas it is also gaining popularity in travel and tourism sector, government and education, media and entertainment, energy and utility. Open API is designed so that it can be easily accessible to the third party developers.The open API is gaining huge attention from the developers as it provider deeper understanding regarding communication of the different software program. This type of API reduce the efforts of the developers of writing new code, which results in higher time for building unique and useful software. As this API is freely available to the public it enables in better compatibility within the applications with timely updates. The main advantage of the open API is it allows the third party developers work on complementary services that is created by primary application. This offers an opportunity for the companies to enter their services and products in the external applications that expand the reach and promote purchasing of the products and services.

The Certified Health IT Product List (CHPL) is a comprehensive and authoritative listing of all certified Health Information Technology which has been successfully tested and certified by the ONC Health IT Certification program. All products listed on the CHPL have been tested by an ONC-Accredited Testing Laboratory (ONC-ATL) and certified by an ONC-Authorized Certification Body (ONC-ACB) to meet criteria adopted by the Secretary of the Department of Health and Human Services (HHS). This is a fully queryable REST API with JSON and XML output.

This dataset provides comprehensive real-time data from Amazon's global marketplaces. It includes detailed product information, reviews, seller profiles, best sellers, deals, influencers, and more across all Amazon domains worldwide. The data covers product attributes like pricing, availability, specifications, reviews and ratings, as well as seller information including profiles, contact details, and performance metrics. Users can leverage this dataset for price monitoring, competitive analysis, market research, and building e-commerce applications. The API enables real-time access to Amazon's vast product catalog and marketplace data, helping businesses make data-driven decisions about pricing, inventory, and market positioning. Whether you're conducting market analysis, tracking competitors, or building e-commerce tools, this dataset provides current and reliable Amazon marketplace data. The dataset is delivered in a JSON format via REST API.

This dataset tracks the updates made on the dataset "Certified Health IT Product List (CHPL) Open API" as a repository for previous versions of the data and metadata.

Xavvy fuel is the leading source for location data and market insights worldwide. We specialize in data quality and enrichment, providing high-quality POI data for restaurants and quick-service establishments in the United States.

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

30+ Services • Delivery • Wifi • ChargePoints • …

10+ Payment options • Visa • MasterCard • Google Pay • individual Apps • ...

Our data offering is highly customizable and flexible in delivery – whether one-time or regular data delivery, push or pull services, and various data formats – we adapt to our customers' needs.

Brands included: • McDonalds • Burger King • Subway • KFC • Wendy's • ...

The total number of restaurants per region, market share distribution among competitors, or the ideal location for new branches – our restaurant data provides valuable insights into the food service market and serves as the perfect foundation for in-depth analyses and statistics. Our data helps businesses across various industries make informed decisions regarding market development, expansion, and competitive strategies. Additionally, our data contributes to the consistency and quality of existing datasets. A simple data mapping allows for accuracy verification and correction of erroneous entries.

Especially when displaying information about restaurants and fast-food chains on maps or in applications, high data quality is crucial for an optimal customer experience. Therefore, we continuously optimize our data processing procedures: • Regular quality controls • Geocoding systems to refine location data • Cleaning and standardization of datasets • Consideration of current developments and mergers • Continuous expansion and cross-checking of various data sources

Integrate the most comprehensive database of restaurant locations in the USA into your business. Explore our additional data offerings and gain valuable market insights directly from the experts!

This dataset provides comprehensive access to product search results from Google Shopping in real-time. Search and compare products, offers, and reviews across multiple major retailers and sources. Perfect for e-commerce applications, price comparison tools, and product discovery platforms. The dataset is delivered in a JSON format via REST API.

Success.ai’s B2B Marketing Data API empowers marketing and sales teams to execute highly targeted and effective outreach campaigns. By providing on-demand access to over 70 million detailed business profiles worldwide, this API ensures your strategies are always guided by accurate, up-to-date information. From industry classifications and employee counts to firmographic and demographic insights, Success.ai’s B2B Marketing Data API enables you to zero in on the right businesses and decision-makers.

With robust filtering capabilities, continuously updated datasets, and AI-validated accuracy, you can confidently refine segments, tailor messaging, and drive higher engagement rates. Backed by our Best Price Guarantee, this solution is essential for achieving meaningful ROI in a competitive global marketplace.

Why Choose Success.ai’s B2B Marketing Data API?

1. Extensive Global Coverage

   • Access over 70 million business profiles spanning various industries, geographies, and company sizes.
   • Expand into new markets, discover niche segments, and tap into emerging opportunities with ease.

2. AI-Validated Accuracy

   • Depend on 99% accurate data validated by AI, ensuring your outreach hits the mark and minimizes wasted efforts.
   • Rely on continuously updated information, eliminating concerns about stale, irrelevant records.

3. Robust Filtering Capabilities

   • Query the API based on key parameters like industry vertical, company size, revenue range, or geographic region.
   • Hone in on ideal customer profiles (ICPs), ensuring your campaigns resonate and drive tangible results.

4. Ethical and Compliant

   • Fully adheres to GDPR, CCPA, and other global data privacy standards, ensuring responsible and lawful data usage.

Data Highlights:

• 70M+ Verified Business Profiles: Engage with a diverse range of companies worldwide.
• Detailed Firmographics: Gain insights into industry classifications, employee counts, and revenue ranges.
• Continuous Updates: Always work with the latest data, reflecting market changes, business expansions, and new entrants.
• Best Price Guarantee: Get maximum value and ROI for your marketing investments at the most competitive prices.

Key Features of the B2B Marketing Data API:

1. On-Demand Data Enrichment

   • Enhance your CRM or marketing automation platforms with enriched contact and firmographic data in real-time.
   • Remove manual data imports and outdated lists, streamlining workflows and saving resources.

2. Flexible Integration Options

   • Seamlessly integrate the API into existing marketing systems, analytics platforms, or sales dashboards.
   • Tailor datasets to align perfectly with your unique campaign goals, ICP criteria, or vertical interests.

3. Granular Segmentation and Targeting

   • Filter records by industry, revenue, workforce size, or region to ensure every campaign focuses on receptive, high-potential prospects.
   • Improve personalization, relevance, and message resonance, increasing open, click-through, and conversion rates.

4. Real-Time Validation and Reliability

   • Benefit from AI-driven data validation and continuous updates to maintain data integrity.
   • Build trust in your outreach efforts, knowing the data you rely on is current, accurate, and ready to inform critical decisions.

Strategic Use Cases:

1. Account-Based Marketing (ABM)

   • Fine-tune your ABM campaigns by targeting specific accounts that match your ideal criteria.
   • Deliver personalized messaging and content, improving engagement and deal closure rates.

2. Market Expansion and Product Launches

   • Identify new industries or geographies that align with your product offerings.
   • Enter fresh markets confidently, supported by data-driven insights and targeted prospect lists.

3. Partnership Development and Channel Sales

   • Discover complementary businesses, suppliers, or distributors that can amplify your reach and value proposition.
   • Accelerate partnerships and alliances, forming strategic relationships for sustainable growth.

4. Competitive Benchmarking and Market Research

   • Analyze industry trends, growth patterns, and emerging opportunities to inform product roadmaps and marketing strategies.
   • Stay ahead of market shifts by continually monitoring changes and adjusting approaches dynamically.

Why Choose Success.ai?

1. Best Price Guarantee

   • Access premium-quality marketing data at unbeatable prices, ensuring exceptional ROI on your marketing spend.

2. Seamless Integration

   • Incorporate the API into your workflow effortlessly, eliminating manual data handling and siloed tools.

3. Data Accuracy with AI Validation

   • Trust in 99% accuracy to shape data-driven decisions, refine targeting, and enhance conversion rates across campaigns.

4. Customizable and Scalable Solutions

   • Adapt the dataset as your ...

The Open Banking API market is projected to grow from USD 70,580 million in 2025 to USD 191,990 million by 2033, at a CAGR of 15.0% during the forecast period. The growth of the market is attributed to the increasing adoption of open banking APIs by financial institutions, fintech companies, and corporates. Additionally, the rising demand for digital banking services and the growing awareness of data privacy and security are driving the market growth. The key drivers of the Open Banking API market include the increasing adoption of open banking APIs by financial institutions, fintech companies, and corporates. Financial institutions are using open banking APIs to provide new and innovative services to their customers, such as online banking, mobile banking, and peer-to-peer payments. Fintech companies are using open banking APIs to develop new financial products and services, such as robo-advisors, digital wallets, and lending platforms. Corporates are using open banking APIs to integrate their financial systems with other systems, such as enterprise resource planning (ERP) systems and customer relationship management (CRM) systems. Introduction Open Banking API has emerged as a game-changer in the financial industry, enabling secure and convenient data sharing between financial institutions, third-party service providers, and customers. This report provides a comprehensive analysis of the Open Banking API market, examining its concentration, characteristics, product insights, regional trends, and key drivers and challenges.

Global Shares Data Reference data on more than 80K stocks worldwide. Historical data from 2000 onwards. Pay only for the parameters you need. Flexible in customizing our product to the customer's needs. Free test access as long as you need for integration. Reliable sources: issues documents, disclosure website, global depositories data and other open sources. The cost depends on the amount of required parameters and re-distribution right.

November 2020: Please check out the newer version of the OpenAIRE Research Graph dump available at https://doi.org/10.5281/zenodo.4201546. The newer version contains json files that are more compact and easy to process. learn more about the OpenAIRE Research Graph at https://graph.openaire.eu.

The OpenAIRE Research Graph is exported as several dumps, so you can download the parts you are interested into.

• publication.gz: metadata records about research literature (includes types of publications listed here)
• dataset.gz:: metadata records about research data (includes the subtypes listed here)
• software.gz:: metadata records about research software (includes the subtypes listed here)
• orp.gz: metadata records about research products that cannot be classified as research literature, data or software (includes types of products listed here)
• organization.gz: metadata records about organizations involved in the research life-cycle, such as universities, research organizations, funders.
• datasource.gz: metadata records about providers whose content is available in the OpenAIRE Research Graph. They includes institutional and thematic repositories, journals, aggregators, funders' databases.
• project.gz: metadata records about projects funded by a given funder.
• : metadata records about research results (publications, datasets, software, and other research products) funded by a given funder.

Please go to http://develop.openaire.eu/graph-dumps.html for instructions on how to consume the dumps.

Libraries: this blog describes the openairegraph libraries, which can be used to perform analytics on this dataset.

The Open Targets Platform is a comprehensive data integration tool that supports systematic identification and prioritisation of potential therapeutic drug targets. By integrating publicly available datasets including data generated by the Open Targets consortium, the Platform builds and scores target-disease associations to assist in drug target identification and prioritisation. It also integrates relevant annotation information about targets, diseases or phenotypes, variants, GWAS and molQTL studies, credible sets and drugs - as well as their most relevant relationships. The Platform is a freely available resource that is actively maintained with quarterly data updates. Data is available through an intuitive user interface, an API, and data downloads. The pipeline and infrastructure codebases are open-source and the licence allows the creation of self-hosted private instances of the Platform with custom data. To learn more about the Platform, visit our Platform documentation or join the Open Targets Community . This public dataset is hosted in Google BigQuery and is included in BigQuery's 1TB/mo of free tier processing. This means that each user receives 1TB of free BigQuery processing every month, which can be used to run queries on this public dataset. Watch this short video to learn how to get started quickly using BigQuery to access public datasets. What is BigQuery .

The Open Data API core operations exposes information about: - Timetables - Realtime announcements - Detours - Routing - Stops and Lines metadata De Lijn does apply limits to its open data. On request and when justified we can increase these limits per subscription Max 864000 calls per product per day Max 6000 calls per product per minute Max 2400 calls per minute We have some more non disclosed measures to ensure API stability We do not provide SLAs. Data quality The quality of the data that is disclosed is equal to the quality that is sufficient for internal use of the data (within the services of the Flemish or local government).

The OpenAIRE Graph is exported as several dataseta, so you can download the parts you are interested into.

publication_[part].tar: metadata records about research literature (includes types of publications listed here)
dataset_[part].tar: metadata records about research data (includes the subtypes listed here)
software.tar: metadata records about research software (includes the subtypes listed here)
otherresearchproduct_[part].tar: metadata records about research products that cannot be classified as research literature, data or software (includes types of products listed here)
organization.tar: metadata records about organizations involved in the research life-cycle, such as universities, research organizations, funders.
datasource.tar: metadata records about data sources whose content is available in the OpenAIRE Graph. They include institutional and thematic repositories, journals, aggregators, funders' databases.
project.tar: metadata records about project grants.
relation_[part].tar: metadata records about relations between entities in the graph.
communities_infrastructures.tar: metadata records about research communities and research infrastructures

Each file is a tar archive containing gz files, each with one json per line. Each json is compliant to the schema available at http://doi.org/10.5281/zenodo.8238874. The documentation for the model is available at https://graph.openaire.eu/docs/data-model/

Learn more about the OpenAIRE Graph at https://graph.openaire.eu.

Discover the graph's content on OpenAIRE EXPLORE and our API for developers.

Success.ai’s Email Address Data API equips businesses with unparalleled access to over 700 million verified professional email addresses, ensuring every outreach effort lands in the right inbox. Designed to streamline email campaigns and enhance engagement, this API provides continuously updated, AI-validated data that minimizes bounce rates and maximizes response.

Whether you’re targeting new markets, strengthening existing relationships, or launching strategic account-based marketing initiatives, Success.ai’s Email Address Data API offers the reliability and scale you need. Backed by our Best Price Guarantee, this solution empowers your sales and marketing teams to confidently connect with the global professional community.

Why Choose Success.ai’s Email Address Data API?

1. Comprehensive Global Coverage

   • Tap into a vast database of 700M+ verified emails spanning all major industries and geographic regions.
   • Scale your outreach globally, discovering new opportunities and accelerating pipeline growth.

2. AI-Validated Accuracy

   • Rely on 99% data accuracy, minimizing wasted outreach on invalid addresses and ensuring maximum deliverability.
   • Reduce manual data checks and focus on building meaningful connections.

3. Real-Time Data Updates

   • Automatically refresh your contact lists with the latest verified emails, staying aligned with dynamic market and organizational changes.
   • Adapt swiftly to new product launches, seasonal campaigns, or evolving strategic priorities.

4. Ethical and Compliant

   • Fully adheres to GDPR, CCPA, and other global privacy regulations, ensuring responsible and lawful data usage.

Data Highlights:

• 700M+ Verified Professional Emails: Engage with diverse audiences across industries and markets.
• AI-Driven Validation: Leverage automated accuracy checks to boost deliverability and reduce bounce rates.
• Real-Time Updates: Keep your CRM or marketing tools fresh with continuously refreshed email data.
• Best Price Guarantee: Achieve top-tier results at the most competitive prices in the industry.

Key Features of the Email Address Data API:

1. Instant Contact Enrichment

   • Enrich your existing records with verified emails to enhance your communication efforts.
   • Automate data updates and avoid laborious manual checks.

2. Granular Filtering and Segmentation

   • Query the API to target specific roles, industries, or regions for precision marketing.
   • Zero in on your ideal customer profile (ICP) segments, boosting conversion and engagement rates.

3. Scalable and Flexible Integration

   • Easily integrate the API into CRM systems, marketing automation platforms, or analytics tools.
   • Adjust parameters and queries as your business evolves, ensuring the API grows with your needs.

4. Continuous Validation and Reliability

   • Count on AI-driven validation to ensure your email addresses are always up-to-date and actionable.
   • Improve ROI by focusing on verified, relevant contacts who are ready to engage.

Strategic Use Cases:

1. Sales and Lead Generation

   • Empower sales teams with accurate, verified emails to reach decision-makers quickly and efficiently.
   • Personalize outreach efforts to resonate with high-value prospects.

2. Marketing Campaigns and ABM Strategies

   • Integrate verified email data into ABM campaigns for highly targeted, personalized messaging.
   • Increase open and click-through rates by delivering compelling content to the right audience.

3. Market Expansion and Product Launches

   • Identify and reach potential customers in new markets or industries with minimal guesswork.
   • Accelerate time-to-market by connecting with prospects before competitors enter the scene.

4. Recruitment and Talent Acquisition

   • Use verified emails to directly engage qualified candidates, speeding up hiring cycles.
   • Ensure recruiters focus on responsive, relevant talent pools.

Why Choose Success.ai?

1. Best Price Guarantee

   • Access top-tier email address data at unmatched prices, ensuring excellent ROI on your outreach initiatives.

2. Seamless Integration

   • Effortlessly incorporate the API into your existing workflows, eliminating data silos and manual imports.

3. Data Accuracy with AI Validation

   • Depend on 99% accuracy to guide data-driven decisions, improve targeting, and enhance conversion rates in every campaign.

4. Customizable and Scalable Solutions

   • Tailor your queries, filters, and datasets to align with shifting business objectives or market conditions.

Additional APIs for Enhanced Functionality:

1. Data Enrichment API

   • Combine verified email addresses with other enrichment data for a comprehensive view of your prospects, enabling more informed targeting and personalization.

2. Trend Analysis API

   • Leverage real-time insights into market shifts, ...

The Open Data API search operations offers this functionalities: - Search stops by description. E.g Veemarkt or station. - Search lines by number or description. E.g search line 48 or Hamont - Search locations (x,y) by user address input. Typical for input on a routeplanner (e.g. kerkstraat 14 Hasselt or Achter De Kazerne ) . Limited Geocoding service that returns stops, addresses or POIs and its XY coordinates De Lijn does apply limits to its open data. On request and when justified we can increase these limits per subscription Max 864000 calls per product per day Max 6000 calls per product per minute Max 6000 calls for per minute We have some more non disclosed measures to ensure API stability We do not provide SLAs. Data quality The quality of the data that is disclosed is equal to the quality that is sufficient for internal use of the data (within the services of the Flemish or local government).

➡️ DOCS With just the Company LinkedIn profile URL, you can get the count of number of job openings by that company. Check out our API Docs at ➡ nubela.co/proxycurl/docs

➡️ PRICING MODEL Get the data using our API at just $0.01/credit, with each successful request using up only 1 credit. If you need more advanced data points, use more credits for each API request.

➡️ COVERAGE Our Job Listing Count API covers profiles globally.

➡️ FRESHNESS 88% of our data is fetched in real time, and the API takes 2-3 seconds to complete. If freshness is not a priority, you can choose cached results, which returns immediately.

➡️ LEGAL COMPLIANCE All our data and procedures are in place that meet major legal compliance requirements such as GDPR, CCPA. We help you be compliant too.

The NHTSA Product Information Catalog and Vehicle Listing (vPIC) is a consolidated platform that presents data collected within the manufacturer reported data from CFR 49 Parts 551 - 574 for use in a variety of modern tools. NHTSA's vPIC platform is intended to serve as a centralized source for basic Vehicle Identification Number (VIN) decoding, Manufacturer Information Database (MID), Manufacturer Equipment Plant Identification and associated data. vPIC is intended to support the Open Data and Transparency initiatives of the agency by allowing the data to be freely used by the public without the burden of manual retrieval from a library of electronic documents (PDFs). While these documents will still be available online for viewing within the Manufacturer Information Database (MID) module of vPIC one can view and use the actual data through the VIN Decoder and Application Programming Interface (API) modules.

The Drug Product Database (DPD) system captures information on Canadian human, veterinary and disinfectant products approved for use by Health Canada. To facilitate the use of the drug product data, multiple Drug Product files are available. Users can access the complete data set through the “Drug Product” file. Subsets of the data can be accessed in the “Drug Product By …” files. The data in these files are filtered based on the current drug product status. For example, only drug product data for Approved products will be found in the “Drug Product By Approved Status” file.

The OpenAIRE Graph is an Open Access dataset containing metadata about research products (literature, datasets, software, etc.) linked to other entities of the research ecosystem like organisations, project grants, and data sources.

The large size of the OpenAIRE Graph is a major impediment for beginners to familiarise with the underlying data model and explore its contents. Working with the Graph in its full size typically requires access to a huge distributed computing infrastructure which cannot be easily accessible to everyone.

The OpenAIRE Beginner’s Kit aims to address this issue. It consists of two components:

• A subset of the OpenAIRE Graph composed of the research products published between 2022-12-28 and 2023-07-31, all the entities connected to them and the respective relationships. The subset is composed of the following parts:

  • publication.tar: metadata records about research literature (includes types of publications listed here)

  • dataset.tar: metadata records about research data (includes the subtypes listed here)

  • software.tar: metadata records about research software (includes the subtypes listed here)

  • otherresearchproduct.tar: metadata records about research products that cannot be classified as research literature, data or software (includes types of products listed here)

  • organization.tar: metadata records about organizations involved in the research life-cycle, such as universities, research organizations, funders.

  • datasource.tar: metadata records about data sources whose content is available in the OpenAIRE Graph. They include institutional and thematic repositories, journals, aggregators, funders' databases.

  • project.tar: metadata records about project grants.

  • relation.tar: metadata records about relations between entities in the graph.

  • communities_infrastructures.tar: metadata records about research communities and research infrastructures
    
    Each file is a tar archive containing gz files, each with one json per line. Each json is compliant to the schema available at http://doi.org/10.5281/zenodo.8238874.

• The code to analyse the data. It is available on GitHub. Just download the archive, unzip/untar it and follow the instruction on the README file (no need to clone the GitHub repository)