Due to unforeseen circumstances, this service is temporarily out of order. We are sorry for the trouble this may cause you. We are working hard to restore the service as soon as possible, but we cannot provide an estimated time of resolution at the moment.Network operations traffic data from Main Roads Western Australia from 01 January 2013. The data from this API includes data collected on the Perth Metropolitan State Road Network (PMSRN) at 15 minute intervals. The network operations traffic data provided here is of variable quality and has not been checked, quality assured or manually corrected. An automated process is used to patch over missing or suspect data with the most representative data available within the database. Patches may be reapplied as new data becomes available and patched data may change over time. Note that you are accessing this data pursuant to a Creative Commons (Attribution) Licence which has a disclaimer of warranties and limitation of liability. You accept that the data provided pursuant to the Licence is subject to changes. Pursuant to section 3 of the Licence you are provided with the following notice to be included when you Share the Licenced Material: “The Commissioner of Main Roads is the creator and owner of the data and Licenced Material, which is accessed pursuant to a Creative Commons (Attribution) Licence, which has a disclaimer of warranties and limitation of liability.” Instructions and documentation for using this API: Links Reporting Links: publicirisservices.mainroads.wa.gov.au/RoadNetworkPerformanceService/api/ReportingLinks Link Data: publicirisservices.mainroads.wa.gov.au/RoadNetworkPerformanceService/api/LinkData?linkdatadate=2017-9-1

This dataset consists of 24-hour traffic volumes which are collected by the City of Tempe high (arterial) and low (collector) volume streets. Data located in the tabular section shares with its users total volume of vehicles passing through the intersection selected along with the direction of flow.Historical data from this feature layer extends from 2016 to present day.Contact: Sue TaaffeContact E-Mail: sue_taaffe@tempe.govContact Phone: 480-350-8663Link to embedded web map:http://www.tempe.gov/city-hall/public-works/transportation/traffic-countsLink to site containing historical traffic counts by node: https://gis.tempe.gov/trafficcounts/Folders/Data Source: SQL Server/ArcGIS ServerData Source Type: GeospatialPreparation Method: N/APublish Frequency: As information changesPublish Method: AutomaticData Dictionary

DataForSEO Labs API offers three powerful keyword research algorithms and historical keyword data:

• Related Keywords from the “searches related to” element of Google SERP. • Keyword Suggestions that match the specified seed keyword with additional words before, after, or within the seed key phrase. • Keyword Ideas that fall into the same category as specified seed keywords. • Historical Search Volume with current cost-per-click, and competition values.

Based on in-market categories of Google Ads, you can get keyword ideas from the relevant Categories For Domain and discover relevant Keywords For Categories. You can also obtain Top Google Searches with AdWords and Bing Ads metrics, product categories, and Google SERP data.

You will find well-rounded ways to scout the competitors:

• Domain Whois Overview with ranking and traffic info from organic and paid search. • Ranked Keywords that any domain or URL has positions for in SERP. • SERP Competitors and the rankings they hold for the keywords you specify. • Competitors Domain with a full overview of its rankings and traffic from organic and paid search. • Domain Intersection keywords for which both specified domains rank within the same SERPs. • Subdomains for the target domain you specify along with the ranking distribution across organic and paid search. • Relevant Pages of the specified domain with rankings and traffic data. • Domain Rank Overview with ranking and traffic data from organic and paid search. • Historical Rank Overview with historical data on rankings and traffic of the specified domain from organic and paid search. • Page Intersection keywords for which the specified pages rank within the same SERP.

All DataForSEO Labs API endpoints function in the Live mode. This means you will be provided with the results in response right after sending the necessary parameters with a POST request.

The limit is 2000 API calls per minute, however, you can contact our support team if your project requires higher rates.

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.

This dataset contains 145063 time series representing the number of hits or web traffic for a set of Wikipedia pages from 2015-07-01 to 2022-06-30. This is an extended version of the dataset that was used in the Kaggle Wikipedia Web Traffic forecasting competition. For consistency, the same Wikipedia pages that were used in the competition have been used in this dataset as well. The colons (:) in article names have been replaced by dashes (-) to make the .tsf file readable using our data loaders.

The data were downloaded from the Wikimedia REST API. According to the conditions of the API, this dataset is licensed under CC-BY-SA 3.0 and GFDL licenses.

api-payrequest.com is ranked #10932 in GB with 546.06K Traffic. Categories: . Learn more about website traffic, market share, and more!

Traffic and road condition information captured in the QLDTraffic system is available for use by external developers via GeoJSON feeds.

These feeds cover Hazards, Crashes, Congestion, Flooding, Roadworks and Special Events and Web Cameras details.

The information provided in these feeds is on an 'as is' basis. Additional details about the available information on the QLDTraffic site can be viewed on our disclaimer page .

Transport and Main Roads (TMR) is constantly striving to ensure that they provide accurate, reliable and timely traffic and road condition information.

Given this, the previously available API has undergone changes in August 2016 with the creation of the QLDTraffic public website.

Details on accessing QLDTraffic’s traffic and road condition information via GeoJSON can be found in the QLDTraffic website application programming interface (API) specification.

This API has been developed to allow improved integration of QLDTraffic traffic and road condition information with external systems.

Please be aware that this specification may be subject to change.

A Traffic API returning historical traffic flow data from the Glasgow SCOOT Traffic Network. Returns the traffic movement information within Glasgow according to some time range. You can either specify a start and end date/time according to the UTC format outlined below OR you can set an integer value for duration which will return records back that number of days. You can optionally specify a site if you are interested in a specific location. You will need to page beyond 50 records.

green-api.com is ranked #31134 in RU with 188.3K Traffic. Categories: Information Technology. Learn more about website traffic, market share, and more!

For detailed information regarding the Traffic API, see the Interactive Traffic Map website from the Traffic and Parking website.Traffic WebCam APIProvides images for the City of Ottawa’s traffic web cams. These images are available at sixty second intervals and are approximately 30-50KB in size. To access the images users will be required to have an access key. The application form for access keys can be found on this page: http://trafficopendata.ottawa.ca/ts/rsadmin/certificate.jsp

After completing the registration form and receiving a confirmation email with a certificate number you will be able to access the camera images. To access a camera image you can access the URL http://traffic.ottawa.ca/opendata/camera with the following parameters:

Camera number Certificate: The certificate string as supplied in the confirmation email. Id: User Id (optional).

Note: City of Ottawa cameras have camera numbers less than 2000, and MTO cameras have camera numbers greater than 2000.

Note: The Id is a string value assigned by your user to each user or instance of your application accessing the images. The Id must be alphanumeric characters [a-z, A-Z, 0-9]. A given user id for a given certificate may only access the cameras at intervals of at least 60 seconds.

e.g. To access City Camera 16 (Bank and Hunt Club) -- http://traffic.ottawa.ca/opendata/camera?c=16&certificate=CERT123&id=2

e.g. To access MTO Camera 2002 (St Laurent) -- http://traffic.ottawa.ca/opendata/camera?c=2002&certificate=CERT123&id=1

The images Getting Camera Numbers

To obtain a list of camera numbers you can access a JSON list of the available cameras: http://traffic.ottawa.ca/map/camera_list

More information about the format of the list can be found in the following document: http://traffic.ottawa.ca/map/opendata_info

Accuracy: There are no known errors associated with these images. Update Frequency: N/A - API delivers most up to date information available.Contact: Motaz Aladas

The dataset contains traffic collected for 96 websites located in

TomTom's Safety Related Traffic Information (SRTI) API is a webservice that delivers anonymized non-personal raw data on hazardous situations directly collected by TomTom's own applications. The content of the API includes anonymized, non-personal, crowd-sourced data from drivers using TomTom's AmiGO application that reports 'hazards' and 'broken down car' incidents on the road. In accordance with EU Regulation 886/2013 this data is accessible to other users and can be integrated in other applications to improve road safety conditions. The access and use of this data are laid out in our terms and conditions. The service delivers safety messages for the area of the European Union in the form of a RESTful web service. The content contains information based on sensor or end-user feedback.

NOTE: The Historic Traffic Data Dashboard & Feature Hosted Service have been retired.Network operations traffic data from Main Roads Western Australia for 2015 to 2019. The data provided includes data collected on the Perth Metropolitan State Road Network (PMSRN) at 15 minute intervals. The Historic Traffic Data is provided in CSV format per year. Each table has over 34 million rows and can be linked to the M-Links Road Network using the M-Links ID. A data dictionary for M-Links Road Network and the Historic Traffic Data is at the following link:https://bit.ly/2S86uSnNetwork Operations traffic data can also be accessed via the Daily Traffic Data API at the following link: https://bit.ly/34ZsyAK The network operations traffic data provided here is of variable quality and has not been checked, quality assured or manually corrected. An automated process is used to patch over missing or suspect data with the most representative data available within the database. Patches may be reapplied as new data becomes available and patched data may change over time. Note that you are accessing this data pursuant to a Creative Commons (Attribution) Licence which has a disclaimer of warranties and limitation of liability. You accept that the data provided pursuant to the Licence is subject to changes. Pursuant to section 3 of the Licence you are provided with the following notice to be included when you Share the Licenced Material:- “The Commissioner of Main Roads is the creator and owner of the data and Licenced Material, which is accessed pursuant to a Creative Commons (Attribution) Licence, which has a disclaimer of warranties and limitation of liability.”

A real time traffic API allowing queries of current traffic flows from the Glasgow SCOOT traffic network and also the ability to query over a given time period.

API Traffic Management Market Outlook

According to our latest research, the global API Traffic Management market size reached USD 2.36 billion in 2024, reflecting the accelerating digital transformation across industries. The market is expected to grow at a robust CAGR of 17.8% from 2025 to 2033, with the forecasted market size projected to reach USD 8.11 billion by 2033. This impressive growth trajectory is underpinned by the proliferation of APIs in enterprise architectures, the increasing need for efficient API governance, and the critical demand for secure and scalable API ecosystems to support modern application development.

The rise in cloud-native application development and the rapid adoption of microservices architecture are among the primary growth drivers of the API Traffic Management market. Organizations are increasingly leveraging APIs to enable seamless integration between disparate systems, optimize workflows, and deliver innovative digital services. As APIs become the backbone of digital business strategies, the need to manage, monitor, and secure API traffic has intensified. This has led to a surge in demand for advanced API traffic management solutions that offer real-time analytics, automated traffic routing, and intelligent throttling capabilities. The market is also witnessing the emergence of AI-driven API management tools that can proactively detect anomalies, predict traffic spikes, and optimize resource allocation, further fueling market expansion.

Another significant growth factor is the intensifying focus on API security and compliance. With APIs increasingly serving as gateways to critical business data and services, organizations are prioritizing robust traffic management solutions to mitigate risks associated with unauthorized access, data breaches, and DDoS attacks. Regulatory mandates such as GDPR, HIPAA, and PSD2 are compelling enterprises, especially in regulated sectors like BFSI and healthcare, to implement comprehensive API governance frameworks. This regulatory environment is fostering innovation in traffic management tools that offer granular access controls, end-to-end encryption, and comprehensive audit trails, thereby driving the adoption of advanced solutions across various verticals.

The API Traffic Management market is also being propelled by the growing adoption of omnichannel strategies in retail, e-commerce, and media sectors. As businesses strive to deliver seamless customer experiences across web, mobile, and IoT channels, the volume and complexity of API traffic are surging. Efficient traffic management has become essential for ensuring high performance, minimizing latency, and maintaining service reliability. Vendors are responding by offering scalable, cloud-native solutions that can dynamically adjust to fluctuating traffic volumes and provide real-time insights into API usage patterns. The convergence of API management with DevOps and CI/CD pipelines is further enabling organizations to accelerate application delivery while maintaining stringent control over API traffic.

From a regional perspective, North America continues to dominate the API Traffic Management market, accounting for the largest revenue share in 2024, driven by the presence of leading technology companies, early cloud adoption, and a mature digital ecosystem. Europe and Asia Pacific are also witnessing substantial growth, with increasing investments in digital infrastructure and a burgeoning startup landscape. The Asia Pacific region, in particular, is expected to exhibit the highest CAGR during the forecast period, fueled by rapid digitalization in emerging economies, government initiatives promoting open APIs, and the expansion of fintech and e-commerce sectors. Meanwhile, Latin America and the Middle East & Africa are gradually embracing API-centric architectures, presenting new growth opportunities for market players.

Component Analysis

The API Traffic Management market is segmented by component into solutions and services. The solutions segment encom

This dataset contains the current estimated speed for about 1250 segments covering 300 miles of arterial roads. For a more detailed description, please go to https://tas.chicago.gov, click the About button at the bottom of the page, and then the MAP LAYERS tab. The Chicago Traffic Tracker estimates traffic congestion on Chicago’s arterial streets (nonfreeway streets) in real-time by continuously monitoring and analyzing GPS traces received from Chicago Transit Authority (CTA) buses. Two types of congestion estimates are produced every ten minutes: 1) by Traffic Segments and 2) by Traffic Regions or Zones. Congestion estimate by traffic segments gives the observed speed typically for one-half mile of a street in one direction of traffic. Traffic Segment level congestion is available for about 300 miles of principal arterials. Congestion by Traffic Region gives the average traffic condition for all arterial street segments within a region. A traffic region is comprised of two or three community areas with comparable traffic patterns. 29 regions are created to cover the entire city (except O’Hare airport area). This dataset contains the current estimated speed for about 1250 segments covering 300 miles of arterial roads. There is much volatility in traffic segment speed. However, the congestion estimates for the traffic regions remain consistent for relatively longer period. Most volatility in arterial speed comes from the very nature of the arterials themselves. Due to a myriad of factors, including but not limited to frequent intersections, traffic signals, transit movements, availability of alternative routes, crashes, short length of the segments, etc. speed on individual arterial segments can fluctuate from heavily congested to no congestion and back in a few minutes. The segment speed and traffic region congestion estimates together may give a better understanding of the actual traffic conditions.

api.netlify.com is ranked #4308 in IN with 89.89K Traffic. Categories: . Learn more about website traffic, market share, and more!

api-project-966339893929.firebaseapp.com is ranked #14564 in DE with 200.72K Traffic. Categories: . Learn more about website traffic, market share, and more!

TRIMARC (Traffic Response and Incident Management Assisting the River City) camera locations in Louisville Metro Kentucky. This feature layer was created from a TRIMARC JSON files of camera locations. This item includes description, direction, and videos links and is used in the Louisville Metro Snow Map. The cameras are used to monitor the roadways and verify incidents to assist in freeway and incident management This feature is a static extract and will be reviewed before each snow season for updates. For more information on this feature layer and it's use please contact Louisville Metro GIS or LOJIC. To learn more about TRIMARC please visit the following website http://www.trimarc.org.

This dataset provides detail on how all assets on a domain are being used (e.g. views, downloads, API reads).

User activity is provided by date, asset uid, asset type, asset name, access type and user segment. Please see Site Analytics: Asset Access for more detail about these fields.

The dataset will reflect new Asset Access records within a day of when they occur.

The PeMS traffic datasets have been collected by the California Transportation (Caltrans) agency for 30-second granularity, and the raw and aggregated data are publicly available on their website (https://pems.dot.ca.gov/?dnode=Clearinghouse&type=meta&district_id=7&submit=Submit). We have gathered 5-minute aggregated vehicular traffic state (i.e traffic speed) dataset for district four and seven of California for 2022.

We have used Bing Distance Matrix API to compute a driving distance between each sensor. The API can be used to compute a driving distance between a single source or multiple sources and source or multiple destinations at once.

In addition, the weather datasets have been collected from https://www.visualcrossing.com/weather/weather-data-services and the datasets have one-hour granularity, and we have only removed some of the unnecessary columns.