PATENT CLAIM ANALYSIS

Application Number: 16112528
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-10
Patent Classification: ["718", "102000"]

Abstract:
A data scraping system includes: a management module having a service program that calls inquiry or execution requiring scraping to receive user information for scraping and allocate user information and a task using an internal scheduling algorithm; and a scraping module connected to a plurality of different institutions, allowing communication, based on the user information and the task allocated by the management module, to scrape data corresponding to the called inquiry or execution from the plurality of institutions. The scraping module includes a meta database to designate a data item to be scraped, and is configured to extract data to scrape based on the meta database from a data set provided by the institution. According to the data scraping system, it is possible to enable data scraping in various platforms such as mobile computing devices, and collect multiple scraping information in one device without constraints of a security module.

Claim (Index 7):
The data scraping system according to  claim 1 , wherein each of the at least one data scraping information collection unit further comprises a verification unit configured to verify the scraping request by inspecting if the service program of the transmitting/receiving unit and the scraping engine unit are cross-authenticated.

Metadata:
- Claim Count in Document: 43.0
- Percentile: 96.0
- Lexical Diversity: 1.95122
- Patent Class: 718.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15085948', '11173656', '11174393', '11173837', '11173470']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4293659759509197
- 35 USC 102 Novelty (BERT): 0.5420868094100388
- Combined Prediction Score: 0.4406380592968316
- Mean Citation Score: 208.96642000000003
- Max Citation Score: 222.12662000000003
- Similarity Product: 123.25852273305895

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test