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# WebScraping-for-job-Website
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In this code we are fetching information from a job website named totaljobs about job listing available, filters them out according to skills and saves the output
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in a local file
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This program is able to fetch the:
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* Job Title/Role needed
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* Company name
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* location
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* salary
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### User Story
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As a data analyst I want to be able to get web large information in csv
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# Acceptance Criteria
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Acceptance Criteria
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- It is done when I can make a request to a specified url It is done when I get response from that url It is done when I get the target content from the url It is done when that content is saved in csv file.
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#### Sample Output
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![](https://github.com/larymak/Python-project-Scripts/blob/main/WebScraping/posts/Capture.PNG)
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### Packages used
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- BeautifulSoup
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- requests
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- csv file
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### Challenges encountered:
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- The only real difficulty was trying to locate the precise ID and passing robots elements (such as find element by ID, x-path, class, and find_all) that would appropriately transmit the information back.
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- In overall our team was succussful to apply python on web scraping to complete our assignment.
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## Steps To Execution
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- Fork this repository and navigate to the WebScraping-Data-Analytics folder
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- Execute the program by running the pydatanalytics.py file using `$ python pydatanalytics.py`
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- The program will then fetch the information and put the information into a csv file.
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# Team Members
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- [@gideonclottey](https://github.com/gideonclottey)
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- [@Dev-Godswill](https://github.com/Dev-Godswill)
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- [@ozomata](https://github.com/ozomata)
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- [@narinder-bit](https://github.com/narinder-bit)
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- [@Sonia-devi](https://github.com/Sonia-devi)
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