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: 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: 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: 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: 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: 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: 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: 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: A computer-implemented method for generating a three-dimensional (3-D) model of a user. A plurality of images of a user are obtained. An angle of view relative to the user pictured in at least one of the plurality of images is calculated. It is determined whether the calculated angle of view matches a predetermined viewing angle. Upon determining the calculated angle of view matches the predetermined viewing angle, at least one of the plurality of images is selected.

Abstract: A computer-implemented method for scaling an object is described. A distance of an object from the computing device is measured via a processor of a computing device in conjunction with a rangefinder. An image of the object is captured via the processor. A database of pixel densities is queried, via the processor, for a pixel density at the measured distance of the object from the computing device. A depiction of the object is scaled based on determining a distance of a detected feature of the object.

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: 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: A computer-implemented method for rendering virtual try-on products is described. A first render viewpoint is selected of a virtual 3-D space that includes a 3-D model of at least a portion of a user generated from an image of the user and a 3-D polygon mesh of an object. Polygons of the 3-D polygon mesh are designated as backwards-facing polygons and front-facing polygon in relation to the first render viewpoint. A shadow texture map of the object is applied to the 3-D model of the user. A transparency texture map of the object is applied to the backwards-facing polygon of the 3-D polygon mesh of the object. A first color texture map of the object is applied to the result of the application of the transparency texture map to the backwards-facing polygon. The virtual 3-D space is rendered at the first render viewpoint.

Abstract: A computer-implemented method for generating a three-dimensional (3-D) model of a virtual try-on product. At least a portion of an object is scanned. The object includes at least first and second surfaces. An aspect of the first surface is detected. An aspect of the second surface is detected, the aspect of the second surface being different from the aspect of the first surface. A polygon mesh of the first and second surfaces is generated from the scan of the object.

Abstract: According to at least one embodiment, a computer-implemented method for generating a virtual try-on is described. A first model is obtained. The first model includes a first set of attachment points. A second model is obtained. The second model includes a first set of connection points. The first model and the second model are combined. Combining the first and second models includes matching the first set of attachment points with the first set of connection points. An image is rendered based on at least a portion of the combined first and second models.

Abstract: A computer-implemented method for scaling an object is described. A distance of an object from the computing device is measured via a processor of a computing device in conjunction with a rangefinder. An image of the object is captured via the processor. A database of pixel densities is queried, via the processor, for a pixel density at the measured distance of the object from the computing device. A depiction of the object is scaled based on determining a distance of a detected feature of the object.

Abstract: A computer-implemented method for generating a three-dimensional (3-D) model of a user. A plurality of images of a user are obtained. An angle of view relative to the user pictured in at least one of the plurality of images is calculated. It is determined whether the calculated angle of view matches a predetermined viewing angle. Upon determining the calculated angle of view matches the predetermined viewing angle, at least one of the plurality of images is selected.

Abstract: A computer-implemented method for generating a three-dimensional (3-D) model of a virtual try-on product. At least a portion of an object is scanned. The object includes at least first and second surfaces. An aspect of the first surface is detected. An aspect of the second surface is detected, the aspect of the second surface being different from the aspect of the first surface. A polygon mesh of the first and second surfaces is generated from the scan of the object.