Example #1
0
def crawler_otc_online():
    r = do_crawler("https://otcbtc.com/")
    html_doc = r
    soup = BeautifulSoup(html_doc, 'html.parser')
    symbol = soup.find_all(current_online)[0].text.split("\n")[1].split(
        u":")[1].replace(",", "")
    return int(symbol)
Example #2
0
def crawler_otc(url):
    r = do_crawler(url)
    html_doc = r
    soup = BeautifulSoup(html_doc, 'html.parser')
    symbol = soup.find_all(price_content)
    lowest = symbol[0].text
    return int(100 * float(lowest.split("\n")[2].strip()))
Example #3
0
def crawler_money_flow(url, usd_rate):
    r = do_crawler(url)
    data = cjson.decode(r)['data']
    return {
        '1w': int(
            ((data['inflow_1w'] - data['outflow_1w']) * usd_rate) / 10000),
        '1d': int(
            ((data['inflow_1d'] - data['outflow_1d']) * usd_rate) / 10000),
        '1h': int((data['inflow_1h'] - data['outflow_1h']) * usd_rate / 10000),
        '30m': int(
            (data['inflow_30m'] - data['outflow_30m']) * usd_rate / 10000),
    }
Example #4
0
def crawler_eos_by_all():
    now = int(round(time.time() * 1000))
    start = 1356969600000
    r = do_crawler("https://graphs2.coinmarketcap.com/currencies/eos/%s/%s/" %
                   (start, now))
    data = cjson.decode(r)['price_usd']
    for d in data:
        value = time.localtime(d[0] / 1000)
        format_str = '%Y-%m-%d %H:%M:%S'
        dt = time.strftime(format_str, value)
        d[0] = dt

    return jsonify({'code': 200, 'data': data})
Example #5
0
from crawler.crawler_api import do_crawler
from opdb import database

# do crawler
print do_crawler("http://www.baidu.com")

# db
db = database.Connection(host="127.0.0.1",
                         database='',
                         user='',
                         password='******')
# query one
db.get()
# query many
db.query()
# update and return count
db.execute_rowcount()
Example #6
0
def crawler_current(url):
    r = do_crawler(url)
    data = cjson.decode(r)['data']
    return Decimal(float(data['detail']['price']) * float(data['rate']) *
                   100).quantize(Decimal('0')), float(data['rate'])