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      "body": "<html>\n<p>Hello everyone! In this tutorial, I am showing you how to retrieve prices from an cryptocurrency exchange such as Poloniex and export them into an Excel file. Poloniex provides an excellent API which enables us to retrieve data from them.</p>\n<img src=\"https://steemitimages.com/DQmUq9QP3JTuYMtCtaDqMWG5512XSzvqGkmFNRLS7ZgUKT8/Screen%20Shot%202017-07-13%20at%205.58.05%20PM.png\" >\n<p></p>\n<p>First of all, we need to import all the necessary libraries. At the very beginning of your code, write<p>\n<pre>\n<code>import requests<br />\nimport csv<br />\nimport datetime\n</code>\n</pre>\n<p>Next is the Public API method to retrieve the prices from Poloniex. Paste the URL on your browser and see what you get!<p>\n<pre>\n<code>url = \"https://poloniex.com/public?command=returnChartData&currencyPair=BTC_STEEM&start=1483228800&end=1496275200&period=86400\"</code>\n</pre>\n<p>Try changing the parameters - currency, start, end, and period, according to your needs. In this tutorial, we'll use BTC_STEEM for the currency, a period of 86400 seconds, which is 1 day, and running from January 1st 2017 to June 1st 2017. The dates are in UNIX timestamp. Use a <a href=\"http://www.unixtimestamp.com\">UNIX timestamp converter</a> to convert one.  </p>\n<p>Next, we'll retrieve the response from the URL and parse that data into a JSON tree so the code can read it.</p>\n<pre>\n<code>url_response = requests.get(url)<br />\nurl_parse = url_response.json()\n</code>\n</pre>\n<p>Afterwards, we'll open a new Excel file and prepare it for writing data.</p>\n<pre>\n<code>f = open(\"BTC_STEEM.csv\",\"wb\")<br />\nwriter = csv.writer(f)\n</code>\n</pre>\n<p>Now that the file is ready for writing, we'll input the column titles in the first row.</p>\n<pre>\n<code>titles = [\"Date\", \"High\", \"Low\", \"Open\", \"Close\", \"Volume\"]<br />\nwriter.writerow(titles)\n</code>\n</pre>\n<p>Next, we will start putting all the data from the JSON tree we parsed earlier into their respective columns, row by row.</p>\n<pre>\n<code>for i in url_parse:<br />\n  price_data = []<br />\n  date = datetime.datetime.fromtimestamp(int(i[\"date\"])).strftime('%Y-%m-%d %H:%M:%S')<br />\n  price_data.append(date)<br />\n  price_data.append(i[\"high\"])<br />\n  price_data.append(i[\"low\"])<br />\n  price_data.append(i[\"open\"])<br />\n  price_data.append(i[\"close\"])<br />\n  price_data.append(i[\"volume\"])<br />\n  print price_data<br />\n  writer.writerow(price_data)\n</code>\n</pre>\n<p>After writing all the data, we need to close the Excel file.</p>\n<pre><code>f.close\n</code>\n</pre>\n<p>Congratulations! You now have a Python code that retrieves STEEM prices from a cryptocurrency exchange. Now go to your terminal and run your code. Enjoy!</p>\n</html>",
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      "body": "<html>\n<p>Hello everyone! In this tutorial, I am showing you how to retrieve prices from an cryptocurrency exchange such as Poloniex and export them into an Excel file. Poloniex provides an excellent API which enables us to retrieve data from them.</p>\n<img src=\"https://steemitimages.com/DQmUq9QP3JTuYMtCtaDqMWG5512XSzvqGkmFNRLS7ZgUKT8/Screen%20Shot%202017-07-13%20at%205.58.05%20PM.png\" >\n<p></p>\n<p>First of all, we need to import all the necessary libraries. At the very beginning of your code, write<p>\n<pre>\n<code>import requests<br />\nimport csv<br />\nimport datetime\n</code>\n</pre>\n<p>Next is the Public API method to retrieve the prices from Poloniex. Paste the URL on your browser and see what you get!<p>\n<pre>\n<code>url = \"https://poloniex.com/public?command=returnChartData&currencyPair=BTC_STEEM&start=1483228800&end=1496275200&period=86400\"</code>\n</pre>\n<p>Try changing the parameters - currency, start, end, and period, according to your needs. In this tutorial, we'll use BTC_STEEM for the currency, a period of 86400 seconds, which is 1 day, and running from January 1st 2017 to June 1st 2017. The dates are in UNIX timestamp. Use a <a href=\"http://www.unixtimestamp.com\">UNIX timestamp converter</a> to convert one.  </p>\n<p>Next, we'll retrieve the response from the URL and parse that data into a JSON tree so the code can read it.</p>\n<pre>\n<code>url_response = requests.get(url)<br />\nurl_parse = url_response.json()\n</code>\n</pre>\n<p>Afterwards, we'll open a new Excel file and prepare it for writing data.</p>\n<pre>\n<code>f = open(\"BTC_STEEM.csv\",\"wb\")<br />\nwriter = csv.writer(f)\n</code>\n</pre>\n<p>Now that the file is ready for writing, we'll input the column titles in the first row.</p>\n<pre>\n<code>titles = [\"Date\", \"High\", \"Low\", \"Open\", \"Close\", \"Volume\"]<br />\nwriter.writerow(titles)\n</code>\n</pre>\n<p>Next, we will start putting all the data from the JSON tree we parsed earlier into their respective columns, row by row.</p>\n<pre>\n<code>for i in url_parse:<br />\n  price_data = []<br />\n  date = datetime.datetime.fromtimestamp(int(i[\"date\"])).strftime('%Y-%m-%d %H:%M:%S')<br />\n  price_data.append(date)<br />\n  price_data.append(i[\"high\"])<br />\n  price_data.append(i[\"low\"])<br />\n  price_data.append(i[\"open\"])<br />\n  price_data.append(i[\"close\"])<br />\n  price_data.append(i[\"volume\"])<br />\n  print price_data<br />\n  writer.writerow(price_data)\n</code>\n</pre>\n<p>After writing all the data, we need to close the Excel file.</p>\n<pre><code>f.close\n</code>\n</pre>\n<p>Congratulations! You now have a Python code that retrieves STEEM prices from a cryptocurrency exchange. Now go to your terminal and run your code. Enjoy!</p>\n</html>",
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