Abstract: An online system receives tracking requests from client devices interacting with a website. The online system analyzes user interactions with websites using the tracking requests. The online system identifies missing parameters in the tracking requests and predicts values of the missing parameters. The online system may also identify parameters that are populated incorrectly and predicts their correct values. The online system uses the predicted parameter values for generating reports describing user interactions with the website. The online system predicts the values of the missing parameters based on metadata extracted from previous tracking requests received from client devices and also via web crawling of websites. The online system generates accurate reports based on the predicted parameters values.

Abstract: Disclosed is a method for identifying an action performed by a user in a third party system. Information associated with a form is received by an online system. For instance, hashed values of a plurality of form fields provided by a user and a description of the plurality of form fields are received by an online system. A form is identified based on the received information. Additionally, a determination whether one or more of the received hashed values correspond to stored values by the online system is made. If the received hashed values correspond to stored values in the online system, a user of the online system is identified based on the stored values corresponding to the one or more received hashed values. An identification of an action associated with the identified form and performed by the user in the third party system is stored.

Abstract: An online system receives tracking requests from client devices interacting with a website. The online system analyzes user interactions with websites using the tracking requests. The online system predicts an accurate label for the web page that caused the tracking request to be generated. The online system uses the accurate label for generating reports describing user interactions with the website. The online system predicts the label of a web page received by the client device based on metadata extracted from markup language documents by the client device and provided to the online system via tracking requests. Examples of metadata extracted from markup language documents include labels and description of widgets in the web page that triggered the tracking request from the client device. The online system generates reports describing the quality of the tracking requests.

Abstract: Disclosed is a method for identifying an action performed by a user in a third party system. Information associated with a form is received by an online system. For instance, hashed values of a plurality of form fields provided by a user and a description of the plurality of form fields are received by an online system. A form is identified based on the received information. Additionally, a determination whether one or more of the received hashed values correspond to stored values by the online system is made. If the received hashed values correspond to stored values in the online system, a user of the online system is identified based on the stored values corresponding to the one or more received hashed values. An identification of an action associated with the identified form and performed by the user in the third party system is stored.