Semantic crawler with knowledge graph builder
Project description
web-crawler
A web-crawler project that I developed when trying to learn more about XPath, which lead to crawlers and data analysis. Made with python.
Features
- Recursive crawling with depth control
- Automatic URL normalization
- Link extraction
- Summary extraction
- Async-ready architecture
Installation
pip install web-crawler-engine
HOW TO USE
from web_crawler import CrawlerEngine
url = "https://en.wikipedia.org/wiki/Artificial_intelligence"
crawler = CrawlerEngine(
depth_control=30, #controls how many pages you want to view
url=url
)
crawler.start_crawl_bfs() #starts crawls
crawler.store_data() #stores data in a pages.json
crawler.generate_knowledge_graph() #generates a html of a directed graph of pages and their relations
JSON example
{
"title": "Black hole",
"url": "https://en.wikipedia.org/wiki/Black_hole",
"summary": "A black hole is an astronomical body so compact that its gravity prevents anything, including light, from escaping. Albert Einstein's theory of general relativity, which describes gravitation as the curvature of spacetime, predicts that any sufficiently compact mass will form a black hole. The boundary of no escape is called the event horizon. In general relativity, crossing a black hole's event horizon seals an object's fate but produces no locally detectable change. General relativity also predicts that every black hole should have a central singularity, where the curvature of spacetime is infinite.",
"links": [
"https://en.wikipedia.org/wiki/Astronomical_body",
"https://en.wikipedia.org/wiki/Albert_Einstein",
"https://en.wikipedia.org/wiki/General_relativity",
"https://en.wikipedia.org/wiki/Curved_spacetime",
"https://en.wikipedia.org/wiki/Mass",
"https://en.wikipedia.org/wiki/Boundary_(topology)",
"https://en.wikipedia.org/wiki/Event_horizon",
"https://en.wikipedia.org/wiki/Gravitational_singularity",
"https://en.wikipedia.org/wiki/Curvature_of_spacetime",
"https://en.wikipedia.org/wiki/Gravitational_field"
]
},
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