Developer-friendly and Enterprise-grade Podcast API. Structured, relevant, real-time.

Search the meta data of 3,500,000+ podcasts and 177,000,000+ episodes by people, places, or topics.

We offer a simple API for searching and retrieving corporations data which you may use in your applications and web sites. Results can be returned in JSON with padding (JSONP) and XML formats. You do not need to apply for a special key to retrieve the information.

Getting Started

The easiest way to retrieve results is to use our web site to search for the information you need, using the parameters you plan to use in your application. On the results screen for both the results and the details of a corporation/entity, append the query string with "format=xml" or "format=json", respectively. This will give you an example of what will be returned. You can then use the final URL and modify the values as you deem necessary.

Searching

A maximum of 20 results are returned with each query.

URL: http://www.sos.wa.gov/corps/search_results.aspx

Query String Parameters:

name (required) - words or partial words to be found within a corporations name
name_type - "starts_with", "contains", or "ends_with", specifies how the values for the name parameter should function
criteria - "all", "any", "exact" , in multi-word searches, this specifies how the words can or cannot appear in a corporations name
category - category of the corporation.
  "na" - All
  "BNK" - Bank
  "COP" - Cooperative
  "SOL" - Corporation Sole
  "CRU" - Credit Union
  "FMA" - Fish Marketing Act
  "RFN" - Foreign Registration
  "FBS" - Fraternal Building Society
  "FRA" - Fraternal Society
  "GRG" - Grange
  "INS" - Insurance
  "LLP" - Limited Liability Partnership
  "PLC" - Limited Liability Professional
  "LLC" - Limited Liability Regular
  "LTD" - Limited Partnership
  "MAS" - Massachusetts Trust
  "MIL" - Military
  "MMC" - Miscellaneous and Mutual
  "PRO" - Professional Service
  "PBC" - Public Benefit Corporation
  "PUB" - Public Utilities
  "REG" - Regular Corporation
  "RES" - Reservation of Name
  "SAL" - Savings and Loan
  "CAS" - Special Cooperative
active - status of the corporation. "A" for active, "T" for inactive, "NA" for either
agent_name - name or partial name of registered agent
city - city of registered agent's address
zip - zip of regisetered agent's address
date1 - begining date of date range for date of incorporation (format: MM-DD-YYYY)
date2 - ending date of date range for date of incorporation (format: MM-DD-YYYY)
start - number in the results set to begin the search. For example, if a query returns 1000 results, specifying a start of 80 would return results 80 through 99 in the list.
format - "json" or "xml"
callback - for json format, this value must be supplied for cross-site scripting access. Use "?" with jquery.

Examples:

JSON

http://www.sos.wa.gov/corps/search_results.aspx?name_type=starts_with&name=Seattle+Sounders&format=json

XML

http://www.sos.wa.gov/corps/search_results.aspx?name_type=starts_with&name=Seattle+Sounders&format=xml

Corporation Details A new version has been released to address the multiple titles for a governing person. Please append "&version=2" to the query string to retrieve a node for each title (XML) or an array of strings (JSON).

URL: http://www.sos.wa.gov/corps/search_detail.aspx

Query String Parameters:

ubi - UBI of the corporation/entity
format - "json" or "xml"
callback - for json format, this value must be supplied for cross-site scripting access. Use "?" with jquery.

Examples:

JSON

http://www.sos.wa.gov/corps/search_detail.aspx?ubi=601810719&format=json&version=2&callback=?

XML

http://www.sos.wa.gov/corps/search_detail.aspx?ubi=601810719&format=xml&version=2

Support and Feedback

We are happy to answer general questions regarding the API. Due to limited resources we cannot offer specific help with the programming or the integration of the output into your application or system. Please send questions and comments to matthew.edwards@sos.wa.gov .

DataForSEO will land you with accurate data for a SERP monitoring solution. In particular, our SERP API provides data from:

• Google Organic search, Maps, News, and Images tabs in vertical search
• Bing Organic and Local Pack search
• Yahoo, Yandex, Baidu, and Naver search

For each of the search engines, we support all possible locations. You can set any keyword, location, and language, as well as define additional parameters, e.g. time frame, category, number of results.

You can set the device and the OS that you want to obtain SERP results for. We support Android/iOS for mobile and Windows/macOS for desktop.

We can supply you with all organic, paid, and extra Google SERP elements, including featured snippet, answer box, knowledge graph, local pack, map, people also ask, people also search, and more.

We offer well-rounded API documentation, GUI for API usage control, comprehensive client libraries for different programming languages, free sandbox API testing, ad hoc integration, and deployment support.

We have a pay-as-you-go pricing model. You simply add funds to your account and use them to get data. The account balance doesn't expire.

WONDER online databases include county-level Compressed Mortality (death certificates) since 1979; county-level Multiple Cause of Death (death certificates) since 1999; county-level Natality (birth certificates) since 1995; county-level Linked Birth / Death records (linked birth-death certificates) since 1995; state & large metro-level United States Cancer Statistics mortality (death certificates) since 1999; state & large metro-level United States Cancer Statistics incidence (cancer registry cases) since 1999; state and metro-level Online Tuberculosis Information System (TB case reports) since 1993; state-level Sexually Transmitted Disease Morbidity (case reports) since 1984; state-level Vaccine Adverse Event Reporting system (adverse reaction case reports) since 1990; county-level population estimates since 1970. The WONDER web server also hosts the Data2010 system with state-level data for compliance with Healthy People 2010 goals since 1998; the National Notifiable Disease Surveillance System weekly provisional case reports since 1996; the 122 Cities Mortality Reporting System weekly death reports since 1996; the Prevention Guidelines database (book in electronic format) published 1998; the Scientific Data Archives (public use data sets and documentation); and links to other online data sources on the "Topics" page.

A codebook for CrowdTangle, a social media content discovery and analytics platform. The data describes aggregated interactions with Facebook and Instagram posts from public pages, public groups, or public people, including user reactions, shares, comments, and comparisons to a benchmark. Pages are included if they exceed 110k likes/followers, or if a user has added them previously to CrowdTangle.

The 'Information Service on Small Business Loan Products by the Korea Small Business Finance Agency' public data API is a service that provides information on financial institutions that handle small business loan products. Through this API, you can search for key information on small business loan products, such as the name of the institution, corporate number, financial institution address, and product name, and users can easily find financial institutions that handle the small business loan products they need. The API includes various policy small business finance products, such as Sunshine Loan, and also provides a function that allows you to check which financial institution handles each product.

This dataset contains two files created for the dissertation "A Social Media Tool for Domain-Specific Information Retrieval - A Case Study in Human Trafficking" by Tito Griné for the Master in Informatics and Computing Engineering from the Faculty of Engineering of the University of Porto (FEUP). Both files were built in the period between the 02/03/2022 and 09/03/2022. The file, "Topic profile dataset", includes Twitter profiles, identified by their handle, associated with a topic to which they are highly related. These were gathered by first selecting specific topics and finding lists of famous people within them. Afterward, the Twitter API was used to search for profiles using the names from the lists. The first profile returned for each search was manually analyzed to corroborate the relation to the topic and keep it. This dataset was used to evaluate the performance of an agnostic classifier designed to identify Twitter profiles related to a given topic. The topic was given as a set of keywords that were highly related to the desired topic. The file contains 271 pairs of topics and Twitter profile handles. There are profiles spanning six different topics: Ambient Music (102 profiles); Climate Activism (69 profiles); Quantum Information (9 profiles); Contemporary Art (26 profiles); Tennis (52 profiles); and Information Retrieval (13 profiles). At the time this dataset was created, all Twitter handles were from publicly visible profiles. The file, "Profile-website dataset", includes Twitter profiles, identified by their handle, linked to URLs of websites related to the entities behind the profiles. The starting list of Twitter handles was taken from the profiles of the "topic-profile_dataset.csv". The links in each profile's description were gathered using the Twitter API, and each was manually crawled to assess its relatedness to the profile from which it was taken. This dataset helped evaluate the efficacy of an algorithm developed to classify websites as related or unrelated to a given Twitter profile. From the initial list of 271 profiles, at least one related link was found for 196 of them. The remaining 75 were not included in this dataset. Hence, the dataset contains 196 unique Twitter handles, with 325 distinct pairs of Twitter handles and corresponding URLs since some Twitter handles appear in more than one row when it is the case that multiple URLs are related.

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This is a lookup table for use with the Public Safety Survey from 2017 results data layer. Also for reference, view the Public Safety Form - Questions and Response Options.To ensure residents across the District were provided an opportunity to participate in the discussion around public safety, the qualities of a permanent chief of police, and public safety priorities for the District, the Office of the Deputy Mayor for Public Safety and Justice conducted a survey. Residents could take the survey online or complete it in person at recreation centers, senior centers, and libraries. The survey was publicized in Mayor Bowser’s weekly newsletter, on neighborhood list-servs, and in a link on all District government emails. The survey was open to the public between January 26th and February 13th 2017. We collected over 7000 responses, of which we identified 3990 as valid responses from District residents.

We update the data monthly, so it"s accurate up to the end of the previous month. Registration is the process where we add a vehicle’s details to the MVR and issue its number plates. It is not the same thing as vehicle licensing, also called ‘rego’. To give you a quick overview of the data, see the charts in the ‘Attributes’ section below. These will give you information about each of the attributes (variables) in the dataset.Each chart is specific to a variable, and shows all data (without any filters applied).Motor Vehicle Register data - field descriptionsDue to the size of the data we recommend using the following for direct downloads of the data.Download this data as zipped CSV filesFuel consumption (litres / 100km) is for cars driving in urban areas (Column FC_Urban), on motorways (Column FC_Extra_Urban) and a combination of both (Column FC_Combined). Values range from 1 to 60.Greenhouse gas emissions are the SGGs (synthetic greenhouse gases) that airconditioning units produce.The data is added to the MVR when a new or used vehicle is first registered in New Zealand.Description of attributes for fuel consumption (27) and synthetic greenhouse gas (34)Data reuse caveatsAs per license.We’ve taken reasonable care in compiling this information, and provide it on an ‘as is, where is’ basis. We are not liable for any action taken on the basis of the information. For further information see the Waka Kotahi website, as well as the terms of the CC-BY 4.0 International license under which we publish this data.CC-BY 4.0 International licence detailsVariables in the dataset are formatted for analytical use. This can result in attribute charts that may not appear meaningful, and are not suitable for broader analysis or use. In addition, some variables are not mutually exclusive and should not be considered in isolation. As such, these charts should not be taken and used directly as analysis of the overall data.Data quality statement:This data relates to vehicles, not people.An entry certifier enters the data manually into the MVR when someone first registers a new or used vehicle in New Zealand.We have included some information about vehicle registered owners live. This is based on the most recent information we have about their physical address. To make sure it isn’t possible to identify a person in the data, we have provided this at Territorial Authority (TA) level. A TA is a broad geographical area defined under the Local Government Act 2002 as a city council or district council. There are 67 TAs consisting of 12 city councils, 53 districts, Auckland Council and Chatham Island Council.We haven’t included vehicles that belong to people with a confidential listing.We have restricted the Vehicle Identification Number (VIN) to the first 11 characters – these are generic and don’t identify specific vehicles.Data quality caveats:Many of the fields in the (MVR) are free text fields, which means there may be spelling mistakes and other human errors. The data is verified at time of entry, but there is potential for data to be entered incorrectly.We have algorithmically cleaned the data to correct identified errors (particularly with respect to a vehicle’s make and model). However, due to the large number of vehicles on the Register we may not have corrected some information.Additionally, some variables may be subject to differences in how people have recorded details – for example, manufacturers release a variety of sub-models and these may not be referred to, or put into the system, in the same way.We have made our cleaning code open source.Vehicle make and model cleansing code (GitHub)The below links are used to determine fuel consumption and CO2 emissions that are then entered when registering vehicle. This is mandatory and not optional. Data is first added to landata.importer.fuelsaver.govt.nz/certifier/www.greenvehicleguide.gov.au/www.fueleconomy.gov/www.vcacarfueldata.org.uk/ UPDATE: The Motor Vehicle Register (MVR) dataset now contains information on fuel consumption and greenhouse gas emissions.

Museum Victoria is a multidisciplinary museum in Melbourne, Australia with three public venues – Melbourne Museum, Scienceworks and the Immigration Museum. The museum’s collection dates back to 1854 and comprises natural sciences (including zoological, palaeontological, and geological specimens) and humanities (including indigenous cultures, history and technology collections). The museum cares for an estimated 17 million items, many of which are grouped together as a single entry in the electronic cataloguing system. \r \r The MV Collections website provides access to over 1.15 million records, representing items in the Humanities collection; specimens in the Sciences collection; articles written about significant people, places and parts of the collection; and species profiles written about animals that can be observed in the wild. A search may deliver results across items, species, specimens or article records. Results can be refined by adding a new search term to the existing query, or by using the supplied filters. The million plus records are illustrated by over 170,000 images, videos and sounds. We wish to encourage reuse and sharing of content. To that end, all the information written by curators, collection managers, and others is released under a Creative Commons Attribution 4.0 International licence. The elements of each record that are defined as ‘data’ carry a CC0 license. Images carry open licenses wherever possible or are marked as Public Domain as applicable.

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'Financial Education Content Information Service of the Korea Inclusive Finance Agency' is a public data API that contains information on various financial education content provided by the Korea Inclusive Finance Agency. This data consists of items such as education category name, subcategory name, subject name, subject introduction, and whether the content is public, and is designed to search and utilize systematic and customized financial education materials targeting the general public. Through this, users can easily find educational content on topics of interest, and check the content and public status of each educational subject to determine whether it is available for use.

Eximpedia Export import trade data lets you search trade data and active Exporters, Importers, Buyers, Suppliers, manufacturers exporters from over 209 countries

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According to Cognitive Market Research, the global Loratadine API market size will be USD 165245.2 million in 2024. It will expand at a compound annual growth rate (CAGR) of 3.50% from 2024 to 2031.

North America held the major market share for more than 40% of the global revenue with a market size of USD 66098.08 million in 2024 and will grow at a compound annual growth rate (CAGR) of 1.7% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 49573.56 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 38006.40 million in 2024 and will grow at a compound annual growth rate (CAGR) of 5.5% from 2024 to 2031.
Latin America had a market share of more than 5% of the global revenue with a market size of USD 8262.26 million in 2024 and will grow at a compound annual growth rate (CAGR) of 2.9% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 3304.90 million in 2024 and will grow at a compound annual growth rate (CAGR) of 3.2% from 2024 to 2031.
The USP Standards Grade is the fastest growing segment of the Loratadine API industry

Market Dynamics of Loratadine API Market

Key Drivers for Loratadine API Market

Rising prevalence of allergies to Boost Market Growth

The growing prevalence of allergies, mainly hay fever and allergic rhinitis, extensively drives the loratadine energetic pharmaceutical ingredient (API) marketplace. As the incidence of these allergic situations continues to grow, more individuals are trying to find powerful alleviation options. Loratadine, a popular antihistamine, is broadly used to relieve allergic reaction symptoms, contributing to its increasing call for. Factors such as environmental modifications increased exposure to allergens, and way of life shifts are contributing to this fashion. Consequently, pharmaceutical agencies are focusing on the improvement and manufacturing of loratadine, responding to the heightened want for powerful allergic reaction management solutions in the market.

Expansion of Generic competition to Drive Market Growth

The availability of widely widespread loratadine has considerably elevated its affordability and accessibility, using up call for in the market. With a couple of manufacturers generating general variations, competition has caused decreased prices, making allergic reaction relief extra achievable for customers. This rise in affordability encourages more usage amongst patients who can also have previously avoided antihistamines due to fees. As more human beings search for powerful remedies for allergic reactions like hay fever and allergic rhinitis, the call for widely widespread loratadine continues to develop. This trend not only advantages customers but also contributes to the overall growth of the loratadine energetic pharmaceutical component market.

Restraint Factor for the Loratadine API Market

Competition from other antihistamines, will Limit Market Growth

Loratadine faces full-size competition from a number of different antihistamines, such as each prevalent and brand-call alternative. This aggressive landscape can limit market increase and affect the pricing of electricity for loratadine. Consumers have been admitted to numerous alternatives, consisting of cetirizine, fexofenadine, and diphenhydramine, that may affect loratadine's marketplace proportion. The presence of several antihistamine products results in rate stress as groups try to attract rate-sensitive customers. As a result, loratadine has to constantly innovate and differentiate itself in terms of efficacy, safety, and patient desire to keep its role in the aggressive antihistamine market.

Impact of Covid-19 on the Loratadine API Market

The COVID-19 pandemic has impacted the loratadine energetic pharmaceutical component (API) marketplace in numerous methods. Initially, disruptions in delivery chains and manufacturing processes caused shortages and delays in production. However, as demand for hypersensitivity medicinal drugs remained stable, mainly amongst people stricken by respiratory situations, the market step by step rebounded. Additionally, improved recognition of respiration health throughout the pandemic heightened the focus on powerful allergic reaction treatments like loratadine. The rise in telehealth offerings also facil...

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Eximpedia Export import trade data lets you search trade data and active Exporters, Importers, Buyers, Suppliers, manufacturers exporters from over 209 countries

A point-in-time ‘snapshot’ of all vehicles currently registered in New Zealand. The data relates to currently-registered vehicles as recorded on the Motor Vehicle Register (MVR).We update it monthly, so it's accurate up to the end of the previous month. Download this data as zipped CSV filesRegistration is the process where we add a vehicle’s details to the MVR and issue its number plates. It is not the same thing as vehicle licensing, also called ‘rego’.To give you a quick overview of the data, see the charts in the ‘Attributes’ section below. These will give you information about each of the attributes (variables) in the dataset.Each chart is specific to a variable, and shows all data (without any filters applied).Motor Vehicle Register data - field descriptions Data reuse caveats: as per license.We’ve taken reasonable care in compiling this information, and provide it on an ‘as is, where is’ basis. We are not liable for any action taken on the basis of the information. For further information see the Waka Kotahi website, as well as the terms of the CC-BY 4.0 International license under which we publish this data.CC-BY 4.0 International licence detailsVariables in the dataset are formatted for analytical use. This can result in attribute charts that may not appear meaningful, and are not suitable for broader analysis or use. In addition, some variables are not mutually exclusive and should not be considered in isolation. As such, these charts should not be taken and used directly as analysis of the overall data. Data quality statement: this data relates to vehicles, not people.We have included some information about vehicle registered owners live. This is based on the most recent information we have about their physical address. To make sure it isn’t possible to identify a person in the data, we have provided this at Territorial Authority (TA) level. A TA is a broad geographical area defined under the Local Government Act 2002 as a city council or district council. There are 67 TAs consisting of 12 city councils, 53 districts, Auckland Council and Chatham Island Council. We haven’t included vehicles that belong to people with a confidential listing. We have restricted the Vehicle Identification Number (VIN) to the first 11 characters – these are generic and don’t identify specific vehicles. Data quality caveats: many of the fields in the (MVR) are free text fields, which means there may be spelling mistakes and other human errors.We have algorithmically cleaned the data to correct identified errors (particularly with respect to a vehicle’s make and model). However, due to the large number of vehicles on the Register we may not have corrected some information.Additionally, some variables may be subject to differences in how people have recorded details – for example, manufacturers release a variety of sub-models and these may not be referred to, or put into the system, in the same way. We have made our cleaning code open source.Vehicle make and model cleansing code (GitHub)

Eximpedia Export import trade data lets you search trade data and active Exporters, Importers, Buyers, Suppliers, manufacturers exporters from over 209 countries