Abstract: Embodiments disclose a system that allows for improved generation of web requests for scraping that, because of the nature of the requests and time and manner they are sent out, appear more organic, as in human generated, than conventional automated scraping systems. The system then manages how a client request to scrape a target website is made to the site, masking the request in a manner that makes it appear to the Web server as if the request is not generated by an automated system. In this way, by appearing more organic, Web servers may be less likely to block requests from the disclosed system or may take longer to block requests from the disclosed system. By avoiding Web servers blocking requests and extending the lifetime of IP proxies before they are blocked, embodiments can use a limited IP proxy address space more efficiently.

Abstract: Embodiments disclose a system that allows for improved generation of web requests for scraping that, because of the nature of the requests and time and manner they are sent out, appear more organic, as in human generated, than conventional automated scraping systems. The system then manages how a client request to scrape a target website is made to the site, masking the request in a manner that makes it appear to the Web server as if the request is not generated by an automated system. In this way, by appearing more organic, Web servers may be less likely to block requests from the disclosed system or may take longer to block requests from the disclosed system. By avoiding Web servers blocking requests and extending the lifetime of IP proxies before they are blocked, embodiments can use a limited IP proxy address space more efficiently.

Abstract: Systems and methods that allow examination of response data collected from content providers and provide for classification and routing according to the classification. The process of classification employs an unsupervised, or partially unsupervised, Machine Learning classifier model for identifying data collection responses that contains no data, mangled data, or a block, for assigning a classification correspondingly and for feeding the classification decision back to a data collection platform.

Abstract: Systems and methods to intelligently optimize data collection requests are disclosed. In one embodiment, systems are configured to identify and select a complete set of suitable parameters to execute the data collection requests. In another embodiment, systems are configured to identify and select a partial set of suitable parameters to execute the data collection requests. The present embodiments can implement machine learning algorithms to identify and select the suitable parameters according to the nature of the data collection requests and the targets. Moreover, the embodiments provide systems and methods to generate feedback data based upon the effectiveness of the data collection parameters. Furthermore, the embodiments provide systems and methods to score the set of suitable parameters based on the feedback data and the overall cost, which are then stored in an internal database.

Abstract: Systems and methods of task implementation are extended as provided herein and target the web crawling process through a step of submitting a request by a customer to a web crawler. The systems and methods allow a request for a web crawler to be enriched with a customized browsing profile in order to be categorized as an organic human user to obtain targeted content.

Abstract: Empirical data of exit nodes are continuously monitored and each exit node’s overall performance and available capacity are calculated. The empirical data can include monitoring the number of concurrent requests currently being executed by each exit node and the disconnection chronology of each exit node. Further, each exit node is tested by benchmark requests and ping messages and each exit node’s quality rate is calculated. Additionally, systems and methods are provided to select an exit node with the highest quality and available capacity value, from a particular pool to route the user request.

Abstract: A system and method of forming proxy server pools is provided. The method comprises several steps, such as requesting a pool to execute the user's request and retrieving an initial group. The system checks the service history of an initial group, including whether any of the proxy servers in an initial group are exclusive to existing pools. The exclusive proxy servers in an initial group with eligible proxy servers are replaced when needed and new proxy server pools are formed. The system also records the service history of proxy servers and pools before and after the pools are created. The method can also involve predicting the pool health in relation with the thresholds foreseen and replacing the proxy servers below the threshold.

Abstract: Systems and methods that allow examination of response data collected from content providers and provide for classification and routing according to the classification. The process of classification employs an unsupervised, or partially unsupervised, Machine Learning classifier model for identifying data collection responses that contains no data, mangled data, or a block, for assigning a classification correspondingly and for feeding the classification decision back to a data collection platform.

Abstract: Systems and methods to manage and efficiently implement functional proxy services are disclosed. In the proxy services, a single instance of exit-node is connected to at least two or multiple supernodes at any given time. One of the plurality of supernodes is configured to ping and send diagnostic requests to the connected exit-node through a network. The exit-node is directed to send the pong message and diagnostic response data to a different supernode from among the plurality of supernodes connected to the exit-node. Likewise, a client's request is received by an element of the proxy service provider and forwarded to a specific supernode capable of forwarding the client's request to the exit-node. After performing the client's request, the exit-node returns response data to a different supernode from among the plurality of supernodes connected to the exit-node.

Abstract: Proxy servers within a service provider infrastructure are enabled to maintain multiple persistent connections among themselves and to exchange data bi-directionally in an unsolicited manner. Specifically, exit proxy servers are enabled to request their respective proxy supernodes to update the already existing network connection to support WebSocket communication channels. Accordingly, the respective proxy supernodes are enabled to update the network connection with the exit proxy servers to support WebSocket communication channels. A single instance of a proxy supernode and an exit proxy server can maintain multiple WebSocket communication channels with each other. By utilizing the said WebSocket communication channels, the proxy supernode and the exit proxy servers can exchange data with each other simultaneously without any data losses.

Abstract: Systems and methods to intelligently optimize data collection requests are disclosed. In one embodiment, systems are configured to identify and select a complete set of suitable parameters to execute the data collection requests. In another embodiment, systems are configured to identify and select a partial set of suitable parameters to execute the data collection requests. The present embodiments can implement machine learning algorithms to identify and select the suitable parameters according to the nature of the data collection requests and the targets. Moreover, the embodiments provide systems and methods to generate feedback data based upon the effectiveness of the data collection parameters. Furthermore, the embodiments provide systems and methods to score the set of suitable parameters based on the feedback data and the overall cost, which are then stored in an internal database.

Abstract: A system and method of forming proxy server pools is provided. The method comprises several steps, such as requesting a pool to execute the user's request and retrieving an initial group. The system checks the service history of an initial group, including whether any of the proxy servers in an initial group are exclusive to existing pools. The exclusive proxy servers in an initial group with eligible proxy servers are replaced when needed and new proxy server pools are formed. The system also records the service history of proxy servers and pools before and after the pools are created. The method can also involve predicting the pool health in relation with the thresholds foreseen and replacing the proxy servers below the threshold.

Abstract: Systems and methods to manage and regulate the requests of multiple proxy clients are disclosed. In one aspect, the system and methods disclosed herein aids in configuring proxy server(s) with a rate-limit functionality. Configuration of the rate-limit functionality may be realized by, but not limited to, installing configuration file(s) and/or software application(s) on the proxy server(s). The configuration provides information about the list of restricted and unrestricted domains and their respective request limit specification in a given time frame. Therefore, each time before a proxy server forwards the clients' requests to a target domain, the proxy server checks and ensures that the request count to the particular target domain is well within the limit specified in the request limit specification. Thus, the embodiments described herein aid in preventing the IP addresses of proxy service providers from being blocked or denied from the target websites.

Abstract: A system and method of forming proxy server pools is provided. The method comprises several steps, such as requesting a pool to execute the user's request and retrieving an initial group. The system checks the service history of an initial group, including whether any of the proxy servers in an initial group are exclusive to existing pools. The exclusive proxy servers in an initial group with eligible proxy servers are replaced when needed and new proxy server pools are formed. The system also records the service history of proxy servers and pools before and after the pools are created. The method can also involve predicting the pool health in relation with the thresholds foreseen and replacing the proxy servers below the threshold.

Abstract: Systems and methods of task implementation are extended as provided herein and target the web crawling process through a step of submitting a request by a customer to a web crawler. The systems and methods allow a request for a web crawler to be enriched with a customized browsing profile in order to be categorized as an organic human user to obtain targeted content.

Abstract: Empirical data of exit nodes are continuously monitored and each exit node's overall performance and available capacity are calculated. The empirical data can include monitoring the number of concurrent requests currently being executed by each exit node and the disconnection chronology of each exit node. Further, each exit node is tested by benchmark requests and ping messages and each exit node's quality rate is calculated. Additionally, systems and methods are provided to select an exit node with the highest quality and available capacity value, from a particular pool to route the user request.

Abstract: Systems and methods for effectively managing exit nodes are provided. The exemplary systems and methods use a Supernode to examine an Exit Node through sending and receiving a request to a Target. Information about the exit node is then stored into the Supernode. According to the information provided from the Supernode, the Exit Nodes Database systemizes the proxies according to availability and provides available exit nodes to a User Device.