Abstract: The present technology relates to health metrics corresponding to industrial automation devices and a user experience for viewing and configuring health metrics. Health metrics of a device can be produced by obtaining performance metrics of the device and contextualizing the performance metrics based on contextualization information. The health metrics can be categorized based on applying rule sets to the health metrics. The rule sets can be selectively applied to the health metrics based on a type of a respective health metric. The health metrics and health metric categories can be instantiated in a user interface of a user device based on a request for device health information from the user device.

Abstract: The present technology relates to health metrics corresponding to industrial automation devices and a user experience for connecting to devices in an industrial automation environment to configure and view health metrics. Health metrics of a device can be obtained from a server, an industrial device, a controller coupled to the industrial device, or another source, and provided to a user interface device. The user interface device can display indications of the health metrics on a user interface. The user interface device can also establish a connection with a user device and provide the indications of the health metrics to the user device for display on a user interface of the user device.

Abstract: The present technology relates to health metrics corresponding to industrial automation devices and a user experience for configuring calculation devices to produce the health metrics. Health metrics of a device can be produced by obtaining performance metrics of the device and contextualizing the performance metrics based on contextualization information. The health metrics can be categorized based on applying rule sets to the health metrics. Contextualization and application of rule sets can be selectively performed by one or more calculation devices, such as one or more servers, industrial devices, user devices, or the like based on configuration settings. The calculation devices can obtain the performance metrics, operations, and rule sets to produce the health metrics for instantiation on a user interface.

Abstract: Successful application of a coupon code on an e-commerce website is detected via network request tracking and page data tracking. Upon coupon application, the coupon code is stored, for example in a server-based database. The coupon code is then automatically applied to subsequent e-commerce purchases whose parameters match the requirements for the coupon. The coupon can be automatically applied to purchases made by the same user and/or other users, as applicable.

Abstract: Multiple on-line coupons are automatically tested on items of interest to a customer, without requiring the customer to perform any action or to look for such coupons in various sources. Such testing can be automatically initiated and performed on items within the customer's shopping cart. Alternatively or additionally, testing can be automatically initiated and performed while the customer is browsing a page for an item on an e-commerce website, before the customer has even placed items in his or her shopping cart. The best coupon or coupons are then presented to the customer, or automatically applied to provide the customer with the appropriate discounts.

Abstract: Multiple on-line coupons are automatically tested on items of interest to a customer, without requiring the customer to perform any action or to look for such coupons in various sources. Such testing can be automatically initiated and performed on items within the customer's shopping cart. Alternatively or additionally, testing can be automatically initiated and performed while the customer is browsing a page for an item on an e-commerce website, before the customer has even placed items in his or her shopping cart. The best coupon or coupons are then presented to the customer, or automatically applied to provide the customer with the appropriate discounts.

Abstract: A website is navigated automatically in a sequential manner, for example by performing a series of specific network requests in a specified order, without necessarily using a browser, and without necessarily rendering each web page in the sequence. Interactions with a website are automatically recorded, stored, and analyzed. Requests and responses can be associated with particular input/output operations. Based on the analysis, the system can determine what data is expected by web servers, so that it can effectively simulate browser operations in connection with those web servers, and extract useful information from the data received in response to those operations. Thus, data extraction and/or other operations can be performed more efficiently and more quickly, while reducing the computing resources needed.

Abstract: Multiple on-line coupons are automatically tested on items of interest to a customer, without requiring the customer to perform any action or to look for such coupons in various sources. Such testing can be automatically initiated and performed on items within the customer's shopping cart. Alternatively or additionally, testing can be automatically initiated and performed while the customer is browsing a page for an item on an e-commerce website, before the customer has even placed items in his or her shopping cart. The best coupon or coupons are then presented to the customer, or automatically applied to provide the customer with the appropriate discounts.

Abstract: A website is navigated automatically in a sequential manner, for example by performing a series of specific network requests in a specified order, without necessarily using a browser, and without necessarily rendering each web page in the sequence. Interactions with a website are automatically recorded, stored, and analyzed. Requests and responses can be associated with particular input/output operations. Based on the analysis, the system can determine what data is expected by web servers, so that it can effectively simulate browser operations in connection with those web servers, and extract useful information from the data received in response to those operations. Thus, data extraction and/or other operations can be performed more efficiently and more quickly, while reducing the computing resources needed.

Abstract: Successful application of a coupon code on an e-commerce website is detected via network request tracking and page data tracking. Upon coupon application, the coupon code is stored, for example in a server-based database. The coupon code is then automatically applied to subsequent e-commerce purchases whose parameters match the requirements for the coupon. The coupon can be automatically applied to purchases made by the same user and/or other users, as applicable.

Abstract: Successful application of a coupon code on an e-commerce website is detected via network request tracking and page data tracking. Upon coupon application, the coupon code is stored, for example in a server-based database. The coupon code is then automatically applied to subsequent e-commerce purchases whose parameters match the requirements for the coupon. The coupon can be automatically applied to purchases made by the same user and/or other users, as applicable.

Abstract: Various embodiments provide techniques for automatically extracting data from web pages. Such extraction can take place without the use of a browser, and without necessarily rendering the entire web page. Thus, data extraction can be performed more efficiently and more quickly, while reducing the computing resources needed to perform such operations. In at least one embodiment, data extraction and translation are performed by automatically parsing structured data from visible and hidden elements of a web page.

Abstract: Multiple on-line coupons are automatically tested on items of interest to a customer, without requiring the customer to perform any action or to look for such coupons in various sources. Such testing can be automatically initiated and performed on items within the customer's shopping cart. Alternatively or additionally, testing can be automatically initiated and performed while the customer is browsing a page for an item on an e-commerce website, before the customer has even placed items in his or her shopping cart. The best coupon or coupons are then presented to the customer, or automatically applied to provide the customer with the appropriate discounts.

Abstract: Techniques are described for automatically extracting items from a user's browse history on one or more e-commerce websites, and automatically searching other e-commerce websites and sources for offers (including coupons, deals, and/or promotions) for those items and/or related items and/or stores. Such automated techniques allow users to gain the benefit of online offers from various sources, without having to go through the effort of manually searching for such offers. Instead, the system and method automatically locate such offers based on the user's browse history, without requiring any action to be taken on the part of the user.

Abstract: Various embodiments provide techniques for automatically extracting data from web pages. Such extraction can take place without the use of a browser, and without necessarily rendering the entire web page. Thus, data extraction can be performed more efficiently and more quickly, while reducing the computing resources needed to perform such operations. In at least one embodiment, data extraction and translation are performed by automatically parsing structured data from visible and hidden elements of a web page.

Abstract: Techniques are described for automatically extracting items from a user's browse history on one or more e-commerce websites, and automatically searching other e-commerce websites and sources for offers (including coupons, deals, and/or promotions) for those items and/or related items and/or stores. Such automated techniques allow users to gain the benefit of online offers from various sources, without having to go through the effort of manually searching for such offers. Instead, the system and method automatically locate such offers based on the user's browse history, without requiring any action to be taken on the part of the user.

Abstract: A website is navigated automatically in a sequential manner, for example by performing a series of specific network requests in a specified order, without necessarily using a browser, and without necessarily rendering each web page in the sequence. Interactions with a website are automatically recorded, stored, and analyzed. Requests and responses can be associated with particular input/output operations. Based on the analysis, the system can determine what data is expected by web servers, so that it can effectively simulate browser operations in connection with those web servers, and extract useful information from the data received in response to those operations. Thus, data extraction and/or other operations can be performed more efficiently and more quickly, while reducing the computing resources needed.

Abstract: Successful application of a coupon code on an e-commerce website is detected via network request tracking and page data tracking. Upon coupon application, the coupon code is stored, for example in a server-based database. The coupon code is then automatically applied to subsequent e-commerce purchases whose parameters match the requirements for the coupon. The coupon can be automatically applied to purchases made by the same user and/or other users, as applicable.

Abstract: A website is navigated automatically in a sequential manner, for example by performing a series of specific network requests in a specified order, without necessarily using a browser, and without necessarily rendering each web page in the sequence. Interactions with a website are automatically recorded, stored, and analyzed. Requests and responses can be associated with particular in-put/output operations. Based on the analysis, the system can determine what data is expected by web servers, so that it can effectively simulate browser operations in connection with those web servers, and extract useful information from the data received in response to those operations. Thus, data extraction and/or other operations can be performed more efficiently and more quickly, while reducing the computing resources needed.

Abstract: Successful application of a coupon code on an e-commerce website is detected via network request tracking and page data tracking. Upon coupon application, the coupon code is stored, for example in a server-based database. The coupon code is then automatically applied to subsequent e-commerce purchases whose parameters match the requirements for the coupon. The coupon can be automatically applied to purchases made by the same user and/or other users, as applicable.