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Python Web Scraping Cookbook

You're reading from   Python Web Scraping Cookbook Over 90 proven recipes to get you scraping with Python, microservices, Docker, and AWS

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Product type Paperback
Published in Feb 2018
Publisher Packt
ISBN-13 9781787285217
Length 364 pages
Edition 1st Edition
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Author (1):
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Michael Heydt Michael Heydt
Author Profile Icon Michael Heydt
Michael Heydt
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Table of Contents (13) Chapters Close

Preface 1. Getting Started with Scraping 2. Data Acquisition and Extraction FREE CHAPTER 3. Processing Data 4. Working with Images, Audio, and other Assets 5. Scraping - Code of Conduct 6. Scraping Challenges and Solutions 7. Text Wrangling and Analysis 8. Searching, Mining and Visualizing Data 9. Creating a Simple Data API 10. Creating Scraper Microservices with Docker 11. Making the Scraper as a Service Real 12. Other Books You May Enjoy

Creating a scraping microservice

Now let's take our scraper and make it into a Nameko microservice. This scraper microservice will be able to be run independently of the implementation of the API. This will allow the scraper to be operated, maintained, and scaled independently of the API's implementation.

How to do it

We proceed with the recipe as follows:

  1. The code for the microservice is straightforward. The code for it is in 10/02/call_scraper_microservice.py and is shown here:
from nameko.rpc import rpc
import sojobs.scraping

class ScrapeStackOverflowJobListingsMicroService:
name = "stack_overflow_job_listings_scraping_microservice"

@rpc
def get_job_listing_info(self, job_listing_id):
...
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