Skip to content

Latest commit

 

History

History
167 lines (141 loc) · 3.9 KB

README.md

File metadata and controls

167 lines (141 loc) · 3.9 KB
Raw

thedigger

A data scraper for americanas.com.br using Scrapy and Selenium.

Last tested on 2017-06-09.

Features

  • Scraping by categories
  • Get product names, IDs, urls and price
  • Support for item variations in voltage (220v / 110v) (will skip items with any other kind of selection (i.e. color))
  • UTF-8 json dump of items by category
  • Calculates shipping for each item for a list of postal codes (brazilian CEP)

Dependencies

Usage

Checkout the repository:

git clone https://github.com/bolaum/thedigger.git
cd thedigger/

And install dependencies (virtualenv recommended):

virtualenv venv
source venv/bin/activate
pip install -r requirements.txt

Or if using conda:

conda create -n thedigger --file requirements.txt -c conda-forge
source activate thedigger

Select categories

Add regular expression of categories to scrape in thedigger/spiders/americanas.py:

class MySpider(SitemapSpider):
    ...        
    # list all categories you wish to scrape
    sitemap_rules = [
        ('/categoria/eletrodomesticos/freezer/vertical', 'parse_category'),
        # ('/categoria/games/playstation-4/console-playstation-4', 'parse_category'),
        # ('/categoria/games/xbox-360/console-xbox-360', 'parse_category'),
    ]    
    ...

Add postal codes to calculate shipping

Add brazilian postal codes to calculate shipping for each item in thedigger/spiders/americanas.py:

class MySpider(SitemapSpider):
    ...        
    # list all postal codes you wish to calculate shipping price
    postal_codes = [
        "13083590",
        "24030077"
    ]    
    ...

Calculating shipping costs uses Selenium to fill in forms and will be slow. If you don't need it, make it empty for faster scraping.

Running

Just start the crawler with

scrapy crawl americanas

Output

It will output one json file for each category to ./dump/ directory by default. This can be changed in thedigger/pipelines.py, attribute pathof JsonWriterPipeline:

class JsonWriterPipeline(object):
    # path to dump json files
    path = "dump"
    ...

Output example:

[
{
  "itemId": "21318848", 
  "url": "http://www.americanas.com.br/produto/21318848", 
  "price": {
    "unique": {
      "product": "R$ 3.624,96", 
      "shipping": {
        "24030077": [
          {
            "date": "15 dias úteis", 
            "price": "R$ 219,89", 
            "type": "Econômica"
          }
        ], 
        "13083590": []
      }
    }
  }, 
  "name": "Freezer Horizontal 311 L Congelador Com Tampa De Vidro Fricon 127 V"
},
{
  "itemId": "117247630", 
  "url": "http://www.americanas.com.br/produto/117247630", 
  "price": {
    "110v": {
      "product": "R$ 2.499,99", 
      "shipping": {
        "24030077": [
          {
            "date": "5 dias úteis", 
            "price": "R$ 49,99", 
            "type": "Rápida"
          }, 
          {
            "date": "6 dias úteis", 
            "price": "R$ 24,99", 
            "type": "Econômica"
          }
        ], 
        "13083590": [
          {
            "date": "5 dias úteis", 
            "price": "R$ 49,99", 
            "type": "Rápida"
          }, 
          {
            "date": "7 dias úteis", 
            "price": "R$ 24,99", 
            "type": "Econômica"
          }, 
          {
            "date": "A agendar", 
            "price": "R$ 24,99", 
            "type": "Agendada"
          }
        ]
      }
    }, 
    "220v": {
      "product": "R$ 2.629,57", 
      "shipping": {
        "24030077": [], 
        "13083590": []
      }
    }
  }, 
  "name": "Freezer Vertical Brastemp BVR28 228 Litros Inox Frost Free"
}
]