Abstract: A method includes using a mobile device connected to an industrial network of an industrial system, obtaining a first identity object from an intelligent industrial device of the industrial system, bridging through the intelligent industrial device to obtain a second identity object of a related device of the industrial system that is related to the intelligent industrial device, and using the mobile device, presenting a hierarchy context of the intelligent industrial device to a user based on the identity objects.

Abstract: A method includes, using a mobile device connected to an industrial network of an industrial system, receiving a chainable compute service assignment from a first intelligent industrial device of the industrial system that assigns a chainable compute service to the mobile device or assignment from a cloud-based device or system connected to the industrial network that assigns the chainable compute service to the mobile device; and using the mobile device, performing the chainable compute service.

Abstract: A human interface module (HIM) includes a memory that stores executable components and a processor, operatively coupled to the memory and configured to execute the executable components, the executable components including a communications component configured to communicate with an associated intelligent industrial device and an intelligent network of an industrial system, and a chainable compute component that operates as a computation resource for the industrial system by allowing an assigning device of the industrial system to offload one or more computational tasks to be performed by the HIM.

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.

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.