107 lines
3.1 KiB
Python
107 lines
3.1 KiB
Python
from bs4 import BeautifulSoup as b
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import re
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import json
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import requests
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import concurrent.futures
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import config as cfg
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def get_isurl(category_id): # "get itemSearchURL"
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'''
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Gets raw JSON data fom FindingApi service call. Currently being used to
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get itemIDs from categories;
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'''
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params = {
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"OPERATION-NAME":'findItemsByCategory',
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"SECURITY-APPNAME":cfg.sec['SECURITY-APPNAME'],
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"SERVICE-VERSION":"1.13.0",
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"RESPONSE-DATA-FORMAT":"JSON",
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"categoryId":category_id,
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"paginationInput.entriesPerPage":"1",
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"paginationInput.PageNumber":1,
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"itemFilter(0).name":"Condition",
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"itemFilter(0).value":"Used",
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"itemFilter.name":"HideDuplicateItems",
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"itemFilter.value":"true",
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}
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try:
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response = requests.get("https://svcs.ebay.com/services/search/FindingService/v1",
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params=params, timeout=24)
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response.raise_for_status()
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except requests.exceptions.RequestException:
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print('connection error')
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return url
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try:
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data = response.json()
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# NOTE approx 220 pages of listings per cat @ 35 items per page
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item_cond = "&rt=nc&LH_ItemCondition=3000&mag=1" # preowned
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urls = []
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url = data['findItemsByCategoryResponse'][0]['itemSearchURL'][0]
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url = url+item_cond
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j = list(range(1,221))
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for i in j:
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pg = "&_pgn={}".format(str(i))
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url = url.replace('&_pgn=1', pg)
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urls.append(url)
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except (AttributeError, KeyError):
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print('AttributeError or KeyError. Exiting')
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return urls
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def threaded_urls():
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urls = []
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with open('cat_list.txt') as jf:
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cat_list = json.load(jf)
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with concurrent.futures.ThreadPoolExecutor() as executor:
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for future in executor.map(get_isurl, cat_list):
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urls.extend(future)
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return urls
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def get_ids(url):
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'''
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Scrapes listing links for item ID in url
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'''
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html = requests.get(url).text
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soup = b(html, "html.parser")
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ids = list(soup.find_all(href=re.compile(r"[\d]+(?=\?hash)")))
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ids = [id['href'] for id in ids]
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ids = [re.findall(r"[\d]+(?=\?)", id)[0] for id in ids]
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ids = list(set(ids)) # necessary; two links are returned with pattern match
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return ids
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def threaded_get_ids(urls):
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try:
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with open('item_id_results.txt') as f:
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ids = json.load(f)
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except FileNotFoundError:
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ids = []
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with concurrent.futures.ThreadPoolExecutor() as executor:
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for future in executor.map(get_ids, urls):
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ids.extend(future)
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item_id_results = [','.join(ids[n:n+20]) for n in list(range(0,
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len(ids), 20))] # 20-ItemID list created to maximize dataset/decrease calls given call constraints
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with open('item_id_results.txt', 'w') as f:
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json.dump(item_id_results, f)
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return item_id_results
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def main():
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urls = threaded_urls()
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item_id_results = threaded_get_ids(urls)
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return item_id_results
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if __name__=="__main__":
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main()
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