def first_page_links(): data = scraper.get_data("http://codingbat.com/java", 'temp.txt') soup = BeautifulSoup(data, 'lxml') categories = soup.find_all('div', attrs={'class': 'summ'}) rel_links = ['http://codingbat.com'+item.a['href'] for item in categories] return rel_links
def displayData(subredditName): postsData = get_data(subredditName) result = { "Developer": "Parag Jyoti Pal", "subreddit": subredditName + ", This api has been developed by Parag Jyoti Pal", "total_members": postsData[0], "active_users": postsData[1], "posts": postsData[2] } return jsonify(result)
def show_products(update: Update, context: CallbackContext) -> int: if context.user_data.get('links') is None: update.message.reply_text('You have not inserted links yet', reply_markup=markup) else: for link in context.user_data.get('links'): df = get_data(link) text = print_data_ordered(df, link) update.message.reply_text(text) make_choise(update, context) return CHOOSING
def find_links(): for link in first_page_links(): data = scraper.get_data(link, 'test.txt') soup = BeautifulSoup(data, 'lxml') td = soup.find("div", class_="indent").table.find_all('td') for item in td: temp = item.find_all('a') for link in temp: all_links.append(('http://codingbat.com' + link['href']))
def main(path=''): """Handles all routes for TiledHN app""" color_values = colors.randomize_colors() data, has_next = scraper.get_data('https://news.ycombinator.com/' + path.replace(':', '?')) # Only one attribute to show if 'jobs' in path: flag = 1 else: flag = None return render_template('index.html', zipped=zip(data, color_values), jobs=flag, next=has_next)
def generate_response(msg): """ indices_list = [] try: indices_list = QueryResults.objects.get(keyname = sno) except OperationalError: pass """ if 'search' in msg: q = ''.join([ix for ix in msg.split('search', 1)[1]]) #result = get_data(q) #display the data resulting from a query search return get_data(q) elif int(msg) in range(1,100): #fetch the link of that video link = get_video(int(msg)) return link else: return "Use search 'search-term' to look for the video you want"
def write_output(): output = open(output_file, "a+") for link in all_links: main_string = [] data = scraper.get_data(link, 'temp.txt') soup = BeautifulSoup(data, 'lxml') main = soup.find("div", class_="minh") main_string.append(str(main.string) + "\n") for br_tag in main.parent.find_all('br'): main_string.append(str(br_tag.next_sibling)) del main_string[-1] for item in main_string: output.write(item) output.write("\n") output.write("\n\n") output.close()
def on_chat_message(msg): content_type, chat_type, chat_id = telepot.glance(msg) # print(msg) # print(chat_id) if content_type == 'text': name = msg["from"]["first_name"] txt = msg['text'] if txt == '/list': for index, url in enumerate(urls): text = get_data(url) bot.sendMessage(chat_id, text) elif '/add' in txt: urls.append(re.findall("(?P<url>https?://[^\s]+)", txt)[0]) print(urls) elif txt == '/remove': bot.sendMessage(chat_id, 'bravo') else: bot.sendMessage(chat_id, 'This command does not exist') bot.sendMessage(chat_id, hello_msg(name))
# Import necessary packages, OS, TWEEPY, and JSON import os import tweepy as tw import pandas as pd import inspect import re import scraper practitioner = ['KirkDBorne', 'gp_pulipaka', 'MrDataScience', 'hadleywickham'] influencer = ['MikeQuindazzi', 'Fisher85M', 'HaroldSinnott', 'jblefevre60'] organization = ['analyticbridge', 'Talenter_io', 'rstudio', '_100DaysOfCode'] technologies = ['pytorch', 'rstats', 'javascript', 'reactjs', 'angular'] filename = 'practitioner.csv' alldf = [] for user in practitioner: print('user: '******'a') as f: dff.to_csv(f, header=False)
def api_return(): return jsonify(get_data())
import argparse import scraper parser = argparse.ArgumentParser() parser.add_argument("url", help="The url for the Amazon wishlist to scrape.", type=str) args = parser.parse_args() url = args.url print(scraper.get_data(url))
no INT, ticket VARCHAR(10), company VARCHAR(255), sector VARCHAR(255), industry VARCHAR(255), country VARCHAR(255), market_cap FLOAT(4), pe FLOAT(4), price FLOAT(4), change FLOAT(4), volume INT ); """.format(table_name)) DB.commit() data = get_data() from pprint import pprint pprint(data) for row in data: cursor.execute(""" INSERT INTO {}(no, ticket, company, sector, industry, country, market_cap, pe, price, change, volume) VALUES({}, '{}', '{}', '{}', '{}', '{}', {}, {}, {}, {}, {}) """.format( table_name, row['No.'], row['Ticker'], row['Company'], row['Sector'], row['Industry'],
def updateDb(): with app.app_context(): results = get_data() db.table('table1').update({'data': results}, where('id') == 1) print('Updated DB')
def get_user(username): return IGUser( scraper.get_data(IG_URL.format(username))['entry_data']['ProfilePage'] [0]['graphql']['user'])
# -*- coding: utf-8 -*- import dash import dash_core_components as dcc import dash_html_components as html import scraper as scrap import colors as colors colors = colors.get() # getting data from scraping module data = scrap.get_data() data['percentage D/C'] = data['Total Deaths']/data['Total Cases']*100 data_europe_est = data[data['Continent'] == "Europe de l'est"][:10] data_europe_ouest = data[data['Continent'] == "Europe de l'ouest"][:10] data_amerique = data[data['Continent'] == 'Amerique'][:10] data_oceanie = data[data['Continent'] == 'Oceanie'] data_afrique = data[data['Continent'] == 'Afrique'][:10] data_asie = data[data['Continent'] == 'Asie'][:10] data_asie_occ = data[data['Continent'] == 'Asie occidentale'][:10] data_autre = data[data['Continent'] == 'Autres'] def get_content(): return html.Div([ html.Div([ html.Div([ # Total Cases europe de l'est dcc.Graph( id='total-cases-europe-est', figure={ 'data': [
def main(): scraper.get_data()