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elasticsearch's Introduction

ElasticSearch - a movie search website

Project Outline

First, I crawled more than 200 pages movie data from IMDB webside using Python Scrapy and defined fields with mapping configuration.

After that, I established backend search engine that realized ngram partial matching, auto-suggest, structured query and aggregation in ElasticSearch.

Finally, A website was developed and designed with Flask and Node.js to display the movie information.

How to Run

starting to crawl data from IMDB website

scrapy crawl imdb_spider

Setting up Flask application

export FLASK_APP=webmovie.py
flask run

Now, you can open your movie website in the browser

localhost:5000

Final Webpage

Auto completion suggester

autocomple

Aggregation

agg

Sort

sort

Detailed webpage

detailed

More than 300 pages

300

elasticsearch's People

Contributors

luqqiu avatar

Stargazers

 avatar Zeyu Yun avatar  avatar Stefanos R avatar Georgios Stamos avatar  avatar Nachi MK avatar  avatar jp avatar Vegeterrixen Gousander avatar Tony Gu avatar Sheng Zhang avatar 无脚的鸟 avatar 负雪明烛 avatar Xu Zhang avatar Vida Wang avatar Brittalsh avatar  avatar

Watchers

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