Full Code of lagenar/shopify-scraper for AI

Repository: lagenar/shopify-scraper
Branch: master
Commit: a51527a5b72f
Files: 3
Total size: 17.4 KB

Directory structure:
gitextract_e3t_nghv/

├── LICENSE
├── README.md
└── shopify.py

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================================================
FILE: README.md
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# shopify-scraper
Simple scraper to extract all products from shopify sites


Requirements:
Python 3

Usage:
python3 shopify.py [site's url]

Listing collections:
python3 shopify.py --list-collections [site's url]

Scraping products only in given collections:
python3 shopify.py -c col1,col2,col3 [site's url]

Example:
python3 shopify.py -c vip,babs-and-bab-lows https://www.greats.com

The products get saved into a file named products.csv in the current directory.


================================================
FILE: shopify.py
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import sys
import csv
import json
import time
import urllib.request
from urllib.error import HTTPError
from optparse import OptionParser


USER_AGENT = 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/35.0.1916.47 Safari/537.36'


def get_page(url, page, collection_handle=None):
    full_url = url
    if collection_handle:
        full_url += '/collections/{}'.format(collection_handle)
    full_url += '/products.json'
    req = urllib.request.Request(
        full_url + '?page={}'.format(page),
        data=None,
        headers={
            'User-Agent': USER_AGENT
        }
    )
    while True:
        try:
            data = urllib.request.urlopen(req).read()
            break
        except HTTPError:
            print('Blocked! Sleeping...')
            time.sleep(180)
            print('Retrying')
        
    products = json.loads(data.decode())['products']
    return products


def get_page_collections(url):
    full_url = url + '/collections.json'
    page = 1
    while True:
        req = urllib.request.Request(
            full_url + '?page={}'.format(page),
            data=None,
            headers={
                'User-Agent': USER_AGENT
            }
        )
        while True:
            try:
                data = urllib.request.urlopen(req).read()
                break
            except HTTPError:
                print('Blocked! Sleeping...')
                time.sleep(180)
                print('Retrying')

        cols = json.loads(data.decode())['collections']
        if not cols:
            break
        for col in cols:
            yield col
        page += 1


def check_shopify(url):
    try:
        get_page(url, 1)
        return True
    except Exception:
        return False


def fix_url(url):
    fixed_url = url.strip()
    if not fixed_url.startswith('http://') and \
       not fixed_url.startswith('https://'):
        fixed_url = 'https://' + fixed_url

    return fixed_url.rstrip('/')


def extract_products_collection(url, col):
    page = 1
    products = get_page(url, page, col)
    while products:
        for product in products:
            title = product['title']
            product_type = product['product_type']
            product_url = url + '/products/' + product['handle']
            product_handle = product['handle']

            def get_image(variant_id):
                images = product['images']
                for i in images:
                    k = [str(v) for v in i['variant_ids']]
                    if str(variant_id) in k:
                        return i['src']

                return ''

            for i, variant in enumerate(product['variants']):
                price = variant['price']
                option1_value = variant['option1'] or ''
                option2_value = variant['option2'] or ''
                option3_value = variant['option3'] or ''
                option_value = ' '.join([option1_value, option2_value,
                                         option3_value]).strip()
                sku = variant['sku']
                main_image_src = ''
                if product['images']:
                    main_image_src = product['images'][0]['src']

                image_src = get_image(variant['id']) or main_image_src
                stock = 'Yes'
                if not variant['available']:
                    stock = 'No'

                row = {'sku': sku, 'product_type': product_type,
                       'title': title, 'option_value': option_value,
                       'price': price, 'stock': stock, 'body': str(product['body_html']),
                       'variant_id': product_handle + str(variant['id']),
                       'product_url': product_url, 'image_src': image_src}
                for k in row:
                    row[k] = str(row[k].strip()) if row[k] else ''
                yield row

        page += 1
        products = get_page(url, page, col)


def extract_products(url, path, collections=None):
    with open(path, 'w') as f:
        writer = csv.writer(f)
        writer.writerow(['Code', 'Collection', 'Category',
                         'Name', 'Variant Name',
                         'Price', 'In Stock', 'URL', 'Image URL', 'Body'])
        seen_variants = set()
        for col in get_page_collections(url):
            if collections and col['handle'] not in collections:
                continue
            handle = col['handle']
            title = col['title']
            for product in extract_products_collection(url, handle):
                variant_id = product['variant_id']
                if variant_id in seen_variants:
                    continue

                seen_variants.add(variant_id)
                writer.writerow([product['sku'], str(title),
                                 product['product_type'],
                                 product['title'], product['option_value'],
                                 product['price'],
                                 product['stock'], product['product_url'],
                                 product['image_src'], product['body']])


if __name__ == '__main__':
    parser = OptionParser()
    parser.add_option("--list-collections", dest="list_collections",
                      action="store_true",
                      help="List collections in the site")
    parser.add_option("--collections", "-c", dest="collections",
                      default="",
                      help="Download products only from the given collections (comma separated)")
    (options, args) = parser.parse_args()
    if len(args) > 0:
        url = fix_url(args[0])
        if options.list_collections:
            for col in get_page_collections(url):
                print(col['handle'])
        else:
            collections = []
            if options.collections:
                collections = options.collections.split(',')
            extract_products(url, 'products.csv', collections)