├── LICENSE ├── Procfile ├── README.md ├── app.py ├── requirements.txt └── runp-heroku.py /LICENSE: -------------------------------------------------------------------------------- 1 | Apache License 2 | Version 2.0, January 2004 3 | http://www.apache.org/licenses/ 4 | 5 | TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 6 | 7 | 1. Definitions. 8 | 9 | "License" shall mean the terms and conditions for use, reproduction, 10 | and distribution as defined by Sections 1 through 9 of this document. 11 | 12 | "Licensor" shall mean the copyright owner or entity authorized by 13 | the copyright owner that is granting the License. 14 | 15 | "Legal Entity" shall mean the union of the acting entity and all 16 | other entities that control, are controlled by, or are under common 17 | control with that entity. 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Too many indicators or too low a time resolution will increase the data points and potentially overload the free server. Avoid this by hosting/running the script on your local machine or scraping multiple times with fewer indicators and manually combine the CSV afterwards. 10 | 11 | ## Usage 12 | 13 | Simply append the URL of a chart/idea published on TradingView to the link below. This is not the URL of a security's chart, but the URL for a user-published chart: https://tradingview-data.herokuapp.com/quotes?url= 14 | 15 | i.e. for this chart: https://www.tradingview.com/chart/SPY/vjYfwgMu-SPY-Export-Test/ 16 | 17 | You'd use: https://tradingview-data.herokuapp.com/quotes?url=https://www.tradingview.com/chart/SPY/vjYfwgMu-SPY-Export-Test/ 18 | 19 | ## Install 20 | ``` 21 | pip3 install virtualenv 22 | python3 -m venv . 23 | source bin/activate 24 | pip3 install -r requirements.txt 25 | git init 26 | heroku create 27 | heroku git:remote -a projectname 28 | heroku stack:set heroku-16 29 | heroku buildpacks:add https://github.com/jontewks/puppeteer-heroku-buildpack.git 30 | heroku buildpacks:add heroku/python 31 | git add . 32 | git commit -am 'fix' 33 | git push heroku master 34 | ``` 35 | -------------------------------------------------------------------------------- /app.py: -------------------------------------------------------------------------------- 1 | from flask import Flask, request, Response 2 | from bs4 import BeautifulSoup 3 | import json 4 | import moment 5 | import re 6 | import asyncio 7 | import pyppeteer 8 | import nest_asyncio 9 | 10 | nest_asyncio.apply() 11 | 12 | pyppeteer.DEBUG = False 13 | headless = True 14 | # headless = False 15 | args = [ 16 | '--window-size=1024,768', 17 | '--no-sandbox', 18 | '--disable-setuid-sandbox', 19 | '--ignore-certificate-errors', 20 | '--disable-dev-shm-usage', 21 | '--single-process' 22 | ] 23 | 24 | loop = asyncio.get_event_loop() 25 | app = Flask(__name__) 26 | 27 | headers = { 28 | 'user-agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/53.0.2785.143 Safari/537.36' 29 | } 30 | 31 | 32 | async def get_csv(url): 33 | browser = await pyppeteer.launch(headless=headless, ignoreHTTPSErrors=True, args=args, handleSIGINT=False, 34 | handleSIGTERM=False, handleSIGHUP=False) 35 | page = await browser.newPage() 36 | page.setDefaultNavigationTimeout(60000) 37 | await page.setViewport(dict(width=1024, height=768)) 38 | await page.setUserAgent(headers['user-agent']) 39 | await page.goto(url) 40 | await page.waitForSelector('.pane-legend-title__container') 41 | content = await page.content() 42 | await page.close() 43 | await browser.close() 44 | return content 45 | 46 | 47 | @app.route("/") 48 | def index(): 49 | return Response('{"status":"ok"}') 50 | 51 | 52 | @app.route("/quotes") 53 | def quotes(): 54 | try: 55 | url = request.args.get('url') 56 | if url: 57 | url = request.args.get('url') 58 | content = loop.run_until_complete(get_csv(url)) 59 | soup = BeautifulSoup(content, 'lxml') 60 | 61 | ind_titles = soup.findAll(attrs={"class": "pane-legend-line"}) 62 | _ind_titles = [] 63 | _ind_values = [] 64 | for ind in ind_titles: 65 | name = ind.find(attrs={"class": "pane-legend-title__description"}) 66 | values = ind.findAll(attrs={"class": "pane-legend-item-value-wrap"}) 67 | _loc_values = [] 68 | for val in values: 69 | _loc_values.append(val.get_text()) 70 | _ind_values.append(' '.join(list(map(str, _loc_values)))) 71 | _ind_titles.append(name.get_text()) 72 | 73 | json_string = soup.find(attrs={"class": "js-chart-view"})['data-options'] 74 | parsed_string = json.loads(json_string) 75 | parsed_string = json.loads(parsed_string['content'])['panes'] 76 | 77 | main = None 78 | indicators = [] 79 | 80 | for item in parsed_string: 81 | for item2 in item['sources']: 82 | if item2['type'] == 'MainSeries': 83 | main = item2 84 | elif item2['type'] == 'Study': 85 | indicators.append(item2) 86 | title = 'Untitled' 87 | r = '\nno data\n' 88 | if main: 89 | title = soup.find(attrs={"class": "pane-legend-title__container"}).get_text() 90 | d = main['bars']['data'] 91 | columns = ['time', 'open', 'high', 'low', 'close', 'vol', '%', 'id', 'timestamp'] 92 | 93 | if (len(indicators)): 94 | for i in indicators: 95 | _name = i['metaInfo']['shortDescription'] 96 | for _n in range(len(i['data']['data'][0]['value'])): 97 | _s = 1 98 | for _i in i['data']['data']: 99 | if _i['value'][_n] != 0 and _i['value'][_n] != 1: 100 | _s = 0 101 | break 102 | if _s == 1: 103 | for _i in i['data']['data']: 104 | _i['value'].pop(_n) 105 | break 106 | 107 | for name in _ind_titles: 108 | s = 1 109 | if not re.match('^' + str(_name), name): 110 | s = 0 111 | if 'source' in i['state']['inputs'] and not re.search(str(i['state']['inputs']['source']), 112 | name): 113 | s = 0 114 | if 'length' in i['state']['inputs'] and not re.search(str(i['state']['inputs']['length']), 115 | name): 116 | s = 0 117 | if 'increment' in i['state']['inputs'] and not re.search( 118 | str(i['state']['inputs']['increment']), 119 | name): 120 | s = 0 121 | if 'max value' in i['state']['inputs'] and not re.search( 122 | str(i['state']['inputs']['max value']), 123 | name): 124 | s = 0 125 | if 'start' in i['state']['inputs'] and not re.search( 126 | str(i['state']['inputs']['start']), 127 | name): 128 | s = 0 129 | for n in range(12): 130 | if 'in_' + str(n) in i['state']['inputs'] and not re.search( 131 | str(i['state']['inputs']['in_' + str(n)]), 132 | name): 133 | s = 0 134 | 135 | if s: 136 | _name = name 137 | break 138 | 139 | count_columns = len(i['data']['data'][0]['value']) - 1 140 | 141 | for number in range(count_columns): 142 | columns.append('"' + _name + '"') 143 | 144 | # r = '"' + title + '"' + (',' * (len(columns) - 1)) + '\n' 145 | # r += ','.join(columns) + '\n' 146 | r = ','.join(columns) + '\n' 147 | 148 | i = 0 149 | close = None 150 | for item in d: 151 | item['value'] = item['value'][0:6] 152 | data_ind = [] 153 | procent = None 154 | for item2 in indicators: 155 | for item3 in item2['data']['data']: 156 | if item['value'][0] == item3['value'][0]: 157 | item3['value'] = list(map(str, item3['value'])) 158 | item3['value'].pop(0) 159 | data_ind.append(','.join(item3['value'])) 160 | break 161 | if close: 162 | procent = round((item['value'][-2] - close) / (close / 100), 2) 163 | close = item['value'][-2] 164 | r += ','.join(list(map(str, item['value']))) + ',' + str(procent) + ',' + str( 165 | i) + ',' + moment.unix( 166 | item['value'][0] * 1000, utc=True).format("YYYY-MM-DD HH:mm:ss") + ',' + ','.join( 167 | data_ind) + '\n' 168 | i += 1 169 | title = re.sub(r'[^\w\d&]+', '_', title.strip()).strip() 170 | print(title) 171 | return Response(r, mimetype="text/csv", 172 | headers={"Content-disposition": "attachment; filename=" + title + ".csv"}) 173 | return '{"error":"no url parameter"}' 174 | except Exception as e: 175 | return '{"error":"' + str(e) + '"}' 176 | 177 | 178 | if __name__ == "__main__": 179 | app.run(debug=False, use_reloader=False, port=5000) 180 | -------------------------------------------------------------------------------- /requirements.txt: -------------------------------------------------------------------------------- 1 | # 2 | # This file is autogenerated by pip-compile 3 | # To update, run: 4 | # 5 | # pip-compile requirements.txt 6 | # 7 | appdirs==1.4.3 8 | arrow==0.13.1 9 | asyncio==3.4.3 10 | beautifulsoup4==4.7.1 11 | bs4==0.0.1 12 | click==7.0 13 | dateparser==0.7.1 14 | flask==1.0.2 15 | gunicorn==19.9.0 16 | itsdangerous==1.1.0 17 | jinja2==2.10 18 | lxml==4.3.2 19 | markupsafe==1.1.1 20 | moment==0.8.2 21 | nest-asyncio==1.0.0 22 | pyee==5.0.0 23 | pyppeteer==0.0.25 24 | python-dateutil==2.8.0 25 | pytz==2018.9 26 | regex==2019.3.12 27 | six==1.12.0 28 | soupsieve==1.8 29 | times==0.7 30 | tqdm==4.31.1 31 | tzlocal==1.5.1 32 | urllib3==1.24.2 33 | websockets==7.0 34 | werkzeug==0.15.3 35 | -------------------------------------------------------------------------------- /runp-heroku.py: -------------------------------------------------------------------------------- 1 | #!flask/bin/python 2 | from app import app 3 | --------------------------------------------------------------------------------