create

.gitignore

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+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+pip-wheel-metadata/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+.python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# reference
+Reference/
+data/

Crawler/README.md

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+# Crawler
+This is a repository for crawlers.
+
+## news_crawler
+Enter specific keywords to crawl google news
+
+### Getting started
+
+```python
+from news_crawler import Crawler
+c = Crawler()
+c.crawl_news("華碩", pages=2,timeout=3, time_sleep=5 )
+c.get_data()
+```
+
+![](<https://github.com/vbjc5275/Crawler/blob/master/image/news-crawler.jpg>)
+
+
+## foodpanda_crawler
+
+![](<https://github.com/vbjc5275/Crawler/blob/master/image/vendor_info.png>)
+![](<https://github.com/vbjc5275/Crawler/blob/master/image/vendor_menu.png>)
+
+## options crawler

Crawler/foodpanda_crawler.py

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+# -*- coding: utf-8 -*-
+"""
+Created on Thu Jul  2 19:44:21 2020
+
+@author: Jerry
+"""
+
+
+# =============================================================================
+# import 
+# =============================================================================
+import requests
+from bs4 import BeautifulSoup,element
+import pandas as pd
+from re import search
+import time
+# =============================================================================
+#   find the homepage of each city
+# =============================================================================
+HOME_URL = "https://www.foodpanda.com.tw"
+
+def get_all_city_link():
+    """取得所有城市的連結"""
+    response = requests.get(HOME_URL)
+    soup = BeautifulSoup(response.text)
+    all_a = soup.find_all("a",class_="city-tile")
+    all_link = [HOME_URL+a.get("href") for a in all_a ]
+
+    return all_link
+
+# =============================================================================
+#   foodpanda-find all vendor
+# =============================================================================
+#Take Taipei as an example
+def get_restaurant_info(url):  
+    response = requests.get(url)
+    soup = BeautifulSoup(response.text)   
+    all_li = soup.find("ul",class_="vendor-list").children
+
+    all_restaurant = []
+    for v in all_li:
+        if isinstance(v,element.Tag):
+            all_restaurant.append(v)
+
+    restaurants_info = []
+    for restaurant in all_restaurant:
+        v = {}
+        #restaurant name
+        v["name"] = restaurant.find("span",class_="name fn").text
+        #restaurant link
+        v["link"] = HOME_URL+restaurant.find("a").get('href')
+        #restaurant photo
+        pic_url = restaurant.find("div").get("data-src")
+        v["pic_url"] = pic_url[:pic_url.find("?")]
+
+        #restaurant star
+        try:
+            v["rating"] = restaurant.find("span",class_="rating").find("strong").text
+            v["count"] = restaurant.find("span",class_="count").text.strip()
+        except:
+            v["rating"] = "NA"
+            v["count"] = 0
+
+        try:
+            v["tag"] = restaurant.find("span",class_="multi-tag").text
+        except:
+            v["tag"] = "NA"
+
+        restaurants_info.append(v)
+    return pd.DataFrame(restaurants_info)
+
+
+cities_link = get_all_city_link()
+restaurants_info =  get_restaurant_info(cities_link[0]) 
+restaurants_info["id"] = [i for i in range(1,len(restaurants_info)+1)]
+# =============================================================================
+#  foodpanda - find menu
+# =============================================================================
+def get_restaurant_menu(url):
+    """return the menu of the restaurant"""
+    menu = []
+    response = requests.get(url)
+    soup = BeautifulSoup(response.text)
+    dishes_section = soup.find_all("div",class_="dish-category-section")
+    for section in dishes_section:
+        #restaurant menu-category
+        category = section.find("h2",class_="dish-category-title").text
+        dishes = section.find("ul",class_="dish-list").find_all("li")
+        for dish in dishes:
+            m = {}
+            m["category"] = category
+            #dish name
+            m["name"] = dish.find("h3").find("span").text
+            #dish description
+            try:
+                m["description"] = dish.find("p").text.strip()
+            except:
+                m["description"] = "NA"
+            #dis price
+            m["price"] = dish.find("span",class_="price p-price").text.strip()
+            menu.append(m)
+    return menu
+
+res_url = restaurants_info.link[0]
+menu = get_restaurant_menu(res_url)
+
+#get all restaurant menu
+sleep = 0.5
+menu_list = []
+for id_, link in zip(restaurants_info["id"].values,
+                     restaurants_info["link"].values):
+    print(link)
+    menu = get_restaurant_menu(link)
+    #add restaurant ID
+    for i in range(len(menu)):
+        menu[i]["id"] = id_
+    menu_list.extend(menu)
+    time.sleep(sleep)
+
+restaurants_menu = pd.DataFrame(menu_list)
+
+# =============================================================================
+# clean data
+# =============================================================================
+def extract_number(str_num):
+    pattern = "[\d,]+.[\d]{2}"
+    return search(pattern, str_num).group(0)
+
+restaurants_menu.price = restaurants_menu.price.apply(extract_number)
+restaurants_menu.price = restaurants_menu.price.apply(lambda price:price.replace(",",""))
+
+#remove unnessary category
+unwanted_category = ["注意事項","營養標示"]
+unwanted_index = []
+for category in unwanted_category:
+    index = restaurants_menu[restaurants_menu.category.str.contains(category)].index
+    if len(index)>1:
+        unwanted_index.extend(index)
+restaurants_menu.drop(unwanted_index, axis=0,inplace=True)
+
+restaurants_info.count = restaurants_info["count"].astype(int)
+restaurants_menu.price = restaurants_menu["price"].astype(float)
+# =============================================================================
+#  save data
+# =============================================================================
+path = "food-panda.xlsx"
+with pd.ExcelWriter(path) as writer:
+    restaurants_info.to_excel(writer,sheet_name="店家評分",index=False)
+    restaurants_menu.to_excel(writer,sheet_name="店家菜單",index=False)
+

Crawler/get proxy.py

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+# -*- coding: utf-8 -*-
+"""
+Created on Thu Aug 20 22:50:43 2020
+
+@author: Jerry
+"""
+from bs4 import BeautifulSoup
+import requests
+def get_soup(url):
+    proxies = {
+      "http": "40.121.198.48:80",
+      "https": "69.195.157.162:8100"
+     }
+    #headers = {'user-agent': UA.random}
+    response = requests.get(url,proxies=proxies)
+    soup = BeautifulSoup(response.text,features="html.parser")
+    response.close()
+    return soup
+
+url = "https://medium.com/qiubingcheng/%E5%A6%82%E4%BD%95%E5%AE%89%E8%A3%9Danaconda-%E4%B8%A6%E4%B8%94%E5%8C%AF%E5%85%A5conda%E8%99%9B%E6%93%AC%E7%92%B0%E5%A2%83-ba2e140706a3"
+soup = get_soup(url)
+
+requests.get(url)