Module cmc.modules.cryptocurrency.trending
Module for fetching data of Cryptocurrencies which were trending in the last 24 hours on CoinMarketCap website.
Expand source code
#!/usr/bin/env python
"""Module for fetching data of Cryptocurrencies which were trending
in the last 24 hours on CoinMarketCap website."""
from datetime import datetime
import os
import time
from typing import Any, Dict, List, Optional, Tuple, Union
import bs4
from bs4 import BeautifulSoup
from selenium import webdriver
from selenium.webdriver.common.by import By
from cmc.modules.base import CMCBaseClass
from cmc.utils.exceptions import ScrapeError
from cmc.utils.models import TrendingData
class Trending(CMCBaseClass):
"""Class for scraping the data of CryptoCurrencies that appear
in the trending table."""
def __init__(self, proxy: Optional[str] = None, as_dict: bool = False) -> None:
"""
Args:
proxy (Optional[str], optional): Proxy to be used for Selenium and requests Session. Defaults to None.
as_dict (bool): Return the data as a dictionary. Defaults to False.
"""
super().__init__(proxy)
self.base_url = "https://coinmarketcap.com/trending-cryptocurrencies/"
self.out = as_dict
@property
def __get_page_data(self) -> bs4.BeautifulSoup:
"""Scrape the table from trending CryptoCurrencies page data
and return the scraped data.
Raises:
ScrapeError: Raised when data cannot be scraped from the webpage.
Returns:
bs4.BeautifulSoup: Scraped page data.
"""
driver = webdriver.Chrome(
service=self.service,
options=self.driver_options,
service_log_path=os.devnull,
)
try:
driver.get(self.base_url)
driver.execute_script("window.scrollTo(0, document.body.scrollHeight)")
time.sleep(1)
result = driver.find_element(
By.XPATH,
'//*[@id="__next"]/div/div[1]/div[2]/div/div/div[2]/table/tbody',
)
page_data = result.get_attribute("innerHTML")
driver.quit()
soup = BeautifulSoup(page_data, features="lxml")
return soup
except:
raise ScrapeError
@property
def get_data(self) -> Union[Dict[int, Dict[str, Any]], Dict[int, TrendingData]]:
"""Scrape the CryptoCurrencies which are trending in the
last 24 hours.
Returns:
Union[Dict[int, Dict[str, Any]], Dict[int, TrendingData]]: Scraped data of trending CryptoCurrencies.
"""
trending: Dict[int, Any] = {}
page_data = self.__get_page_data
data = page_data.find_all("tr")
for num, content in enumerate(data):
td = content.find_all("td")
name: str = td[2].find("p", class_="sc-1eb5slv-0 iworPT").text
symbol: str = (
td[2].find("p", class_="sc-1eb5slv-0 gGIpIK coin-item-symbol").text
)
cmc_link: str = td[2].find("a", class_="cmc-link")["href"]
try:
price: str = td[3].find("div", class_="sc-131di3y-0 cLgOOr").text
except:
price: str = td[3].span.text # type: ignore
try:
if td[4].find("span", class_="sc-15yy2pl-0 hzgCfk").span["class"][0]:
percent_24h: Tuple[str, ...] = (
"down",
td[4].find("span", class_="sc-15yy2pl-0 hzgCfk").text,
)
except:
percent_24h: Tuple[str, ...] = ( # type: ignore
"up",
td[4].find("span", class_="sc-15yy2pl-0 kAXKAX").text,
)
try:
if td[5].find("span", class_="sc-15yy2pl-0 hzgCfk").span["class"][0]:
percent_7d: Tuple[str, ...] = (
"down",
td[5].find("span", class_="sc-15yy2pl-0 hzgCfk").text,
)
except:
percent_7d: Tuple[str, ...] = ( # type: ignore
"up",
td[5].find("span", class_="sc-15yy2pl-0 kAXKAX").text,
)
try:
if td[6].find("span", class_="sc-15yy2pl-0 hzgCfk").span["class"][0]:
percent_30d: Tuple[str, ...] = (
"down",
td[6].find("span", class_="sc-15yy2pl-0 hzgCfk").text,
)
except:
percent_30d: Tuple[str, ...] = ( # type: ignore
"up",
td[6].find("span", class_="sc-15yy2pl-0 kAXKAX").text,
)
try:
market_cap: str = td[7].find("p", class_="sc-1eb5slv-0 bZMzMD").text
except:
market_cap: str = td[7].text # type: ignore
volume_24h: str = td[8].text
result = {
"name": name,
"symbol": symbol,
"cmc_name": cmc_link.split("/")[-2],
"url": self.cmc_url + cmc_link,
"price": price,
"percent_24h": percent_24h,
"percent_7d": percent_7d,
"percent_30d": percent_30d,
"market_cap": market_cap,
"volume_24h": volume_24h,
"timestamp": datetime.now(),
}
if self.out:
trending[num + 1] = result
else:
trending[num + 1] = TrendingData(**result)
return trendingClasses
class Trending (proxy: Optional[str] = None, as_dict: bool = False)-
Class for scraping the data of CryptoCurrencies that appear in the trending table.
Args
proxy:Optional[str], optional- Proxy to be used for Selenium and requests Session. Defaults to None.
as_dict:bool- Return the data as a dictionary. Defaults to False.
Expand source code
class Trending(CMCBaseClass): """Class for scraping the data of CryptoCurrencies that appear in the trending table.""" def __init__(self, proxy: Optional[str] = None, as_dict: bool = False) -> None: """ Args: proxy (Optional[str], optional): Proxy to be used for Selenium and requests Session. Defaults to None. as_dict (bool): Return the data as a dictionary. Defaults to False. """ super().__init__(proxy) self.base_url = "https://coinmarketcap.com/trending-cryptocurrencies/" self.out = as_dict @property def __get_page_data(self) -> bs4.BeautifulSoup: """Scrape the table from trending CryptoCurrencies page data and return the scraped data. Raises: ScrapeError: Raised when data cannot be scraped from the webpage. Returns: bs4.BeautifulSoup: Scraped page data. """ driver = webdriver.Chrome( service=self.service, options=self.driver_options, service_log_path=os.devnull, ) try: driver.get(self.base_url) driver.execute_script("window.scrollTo(0, document.body.scrollHeight)") time.sleep(1) result = driver.find_element( By.XPATH, '//*[@id="__next"]/div/div[1]/div[2]/div/div/div[2]/table/tbody', ) page_data = result.get_attribute("innerHTML") driver.quit() soup = BeautifulSoup(page_data, features="lxml") return soup except: raise ScrapeError @property def get_data(self) -> Union[Dict[int, Dict[str, Any]], Dict[int, TrendingData]]: """Scrape the CryptoCurrencies which are trending in the last 24 hours. Returns: Union[Dict[int, Dict[str, Any]], Dict[int, TrendingData]]: Scraped data of trending CryptoCurrencies. """ trending: Dict[int, Any] = {} page_data = self.__get_page_data data = page_data.find_all("tr") for num, content in enumerate(data): td = content.find_all("td") name: str = td[2].find("p", class_="sc-1eb5slv-0 iworPT").text symbol: str = ( td[2].find("p", class_="sc-1eb5slv-0 gGIpIK coin-item-symbol").text ) cmc_link: str = td[2].find("a", class_="cmc-link")["href"] try: price: str = td[3].find("div", class_="sc-131di3y-0 cLgOOr").text except: price: str = td[3].span.text # type: ignore try: if td[4].find("span", class_="sc-15yy2pl-0 hzgCfk").span["class"][0]: percent_24h: Tuple[str, ...] = ( "down", td[4].find("span", class_="sc-15yy2pl-0 hzgCfk").text, ) except: percent_24h: Tuple[str, ...] = ( # type: ignore "up", td[4].find("span", class_="sc-15yy2pl-0 kAXKAX").text, ) try: if td[5].find("span", class_="sc-15yy2pl-0 hzgCfk").span["class"][0]: percent_7d: Tuple[str, ...] = ( "down", td[5].find("span", class_="sc-15yy2pl-0 hzgCfk").text, ) except: percent_7d: Tuple[str, ...] = ( # type: ignore "up", td[5].find("span", class_="sc-15yy2pl-0 kAXKAX").text, ) try: if td[6].find("span", class_="sc-15yy2pl-0 hzgCfk").span["class"][0]: percent_30d: Tuple[str, ...] = ( "down", td[6].find("span", class_="sc-15yy2pl-0 hzgCfk").text, ) except: percent_30d: Tuple[str, ...] = ( # type: ignore "up", td[6].find("span", class_="sc-15yy2pl-0 kAXKAX").text, ) try: market_cap: str = td[7].find("p", class_="sc-1eb5slv-0 bZMzMD").text except: market_cap: str = td[7].text # type: ignore volume_24h: str = td[8].text result = { "name": name, "symbol": symbol, "cmc_name": cmc_link.split("/")[-2], "url": self.cmc_url + cmc_link, "price": price, "percent_24h": percent_24h, "percent_7d": percent_7d, "percent_30d": percent_30d, "market_cap": market_cap, "volume_24h": volume_24h, "timestamp": datetime.now(), } if self.out: trending[num + 1] = result else: trending[num + 1] = TrendingData(**result) return trendingAncestors
Instance variables
var get_data : Union[Dict[int, Dict[str, Any]], Dict[int, TrendingData]]-
Scrape the CryptoCurrencies which are trending in the last 24 hours.
Returns
Union[Dict[int, Dict[str, Any]], Dict[int, TrendingData]]- Scraped data of trending CryptoCurrencies.
Expand source code
@property def get_data(self) -> Union[Dict[int, Dict[str, Any]], Dict[int, TrendingData]]: """Scrape the CryptoCurrencies which are trending in the last 24 hours. Returns: Union[Dict[int, Dict[str, Any]], Dict[int, TrendingData]]: Scraped data of trending CryptoCurrencies. """ trending: Dict[int, Any] = {} page_data = self.__get_page_data data = page_data.find_all("tr") for num, content in enumerate(data): td = content.find_all("td") name: str = td[2].find("p", class_="sc-1eb5slv-0 iworPT").text symbol: str = ( td[2].find("p", class_="sc-1eb5slv-0 gGIpIK coin-item-symbol").text ) cmc_link: str = td[2].find("a", class_="cmc-link")["href"] try: price: str = td[3].find("div", class_="sc-131di3y-0 cLgOOr").text except: price: str = td[3].span.text # type: ignore try: if td[4].find("span", class_="sc-15yy2pl-0 hzgCfk").span["class"][0]: percent_24h: Tuple[str, ...] = ( "down", td[4].find("span", class_="sc-15yy2pl-0 hzgCfk").text, ) except: percent_24h: Tuple[str, ...] = ( # type: ignore "up", td[4].find("span", class_="sc-15yy2pl-0 kAXKAX").text, ) try: if td[5].find("span", class_="sc-15yy2pl-0 hzgCfk").span["class"][0]: percent_7d: Tuple[str, ...] = ( "down", td[5].find("span", class_="sc-15yy2pl-0 hzgCfk").text, ) except: percent_7d: Tuple[str, ...] = ( # type: ignore "up", td[5].find("span", class_="sc-15yy2pl-0 kAXKAX").text, ) try: if td[6].find("span", class_="sc-15yy2pl-0 hzgCfk").span["class"][0]: percent_30d: Tuple[str, ...] = ( "down", td[6].find("span", class_="sc-15yy2pl-0 hzgCfk").text, ) except: percent_30d: Tuple[str, ...] = ( # type: ignore "up", td[6].find("span", class_="sc-15yy2pl-0 kAXKAX").text, ) try: market_cap: str = td[7].find("p", class_="sc-1eb5slv-0 bZMzMD").text except: market_cap: str = td[7].text # type: ignore volume_24h: str = td[8].text result = { "name": name, "symbol": symbol, "cmc_name": cmc_link.split("/")[-2], "url": self.cmc_url + cmc_link, "price": price, "percent_24h": percent_24h, "percent_7d": percent_7d, "percent_30d": percent_30d, "market_cap": market_cap, "volume_24h": volume_24h, "timestamp": datetime.now(), } if self.out: trending[num + 1] = result else: trending[num + 1] = TrendingData(**result) return trending