</|im_end|>` Neo4j provides various tools for data import, including LOAD CSV and neo4j-admin import tool. Additionally, it can be connected to systems like ElasticSearch, SQL databases, MongoDB, and CouchBase using APOC procedures plugin. The Neo4j ecosystem is nearly complete for data manipulation. To expand this ecosystem, a Web Crawler can be used to obtain data directly from the web. A Web Crawler is a robotic program that specializes in browsing the web, extracting links, and storing content. Politeness rules must be respected when crawling websites to avoid overwhelming them. The Norconex Web Crawler provides an open-source tool for crawling and extracting data. Its structure allows for plugging in various collectors and connectors. A configuration file is used to connect the input (data collector) to the output (committer). Filters can be applied to extract specific data, and relationships can be defined between nodes. The California Grapes project uses Norconex to crawl a website about Californian wines, extracting grape varietals, regions, sub-regions, wineries, and other relevant information. The crawled data is stored in Neo4j, allowing for querying and analysis of the wine industry. Cleaning up the graph by removing unnecessary nodes and building relationships directly between subregions and wineries can improve the visualization. Querying the graph provides insights into related regions, sub-regions, wineries, and grape varietals. This project showcases the potential of combining Norconex with Neo4j for extracting linked data from web sources.