{
    "info": {
        "author": "n1",
        "author_email": "hrdina.pavel@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3 :: Only",
            "Topic :: Software Development :: Libraries"
        ],
        "description": ".. image:: https://raw.githubusercontent.com/im-n1/karpet/master/assets/logo.png\n   :align: center\n\n.. image:: https://img.shields.io/pypi/v/karpet.svg?color=0c7dbe\n   :alt: PyPI\n\n.. image:: https://img.shields.io/pypi/l/karpet.svg?color=0c7dbe\n   :alt: PyPI - License\n\n.. image:: https://img.shields.io/pypi/dm/karpet.svg?color=0c7dbe\n   :alt: PyPI - Downloads\n\n.. contents::\n\nKarpet\n======\nKarpet is a tiny library with just a few dependencies\nfor fetching coins/tokens metrics data the internet.\n\nIt can provide following data:\n\n* coin/token historical price data (no limits)\n* google trends for the given list of keywords (longer period than official API)\n* twitter scraping for the given keywords (no limits)\n* much more info about crypto coins/tokens (no rate limits)\n\nWhat is upcoming?\n\n* Reddit metrics\n* Have a request? Open an issue ;)\n\nDependencies\n------------\nLibrary uses a few nifty dependencies and is Python 3.6+ only. There is no\nneed to install dependencies you don't need. Therefore this library utilizes\nextras which install optional dependencies:\n\n* for Google trends - google\n* for Twitter scraping - twitter\n\nUsage\n-----\n1. Install the library via pip.\n\n.. code-block:: bash\n\n   pip install karpet  # Basics only\n   pip install karpet[twitter]  # For Twitter scraping\n   pip install karpet[google]  # For Google trends\n   pip install karpet[twitter,google]  # All features\n\n2. Import the library class first.\n\n.. code-block:: python\n\n    from karpet import Karpet\n\n``get_coin_slug()``\n~~~~~~~~~~~~~~~~~~~\nSymbol (ticker) -> coninmarketcap.com URL slug conversion.\n\n.. code-block:: python\n\n    k = Karpet()\n    k.get_coin_slug(\"BTC\")  # bitcoin\n\n``fetch_historical_data()``\n~~~~~~~~~~~~~~~~~~~~~~~~~~~\nRetrieves historical data.\n\n.. code-block:: python\n\n    k = Karpet(date(2019, 1, 1), date(2019, 5, 1))\n    df = k.fetch_crypto_historical_data(symbol=\"btc\")  # Dataframe with historical data.\n    df.head()\n\n.. image:: https://raw.githubusercontent.com/im-n1/karpet/master/assets/historical_data.png\n\n``fetch_exchanges()``\n~~~~~~~~~~~~~~~~~~~~~\nRetrieves exchange list.\n\n.. code-block:: python\n\n    k = Karpet()\n    k.fetch_exchanges(\"nrg\")\n    ['DigiFinex', 'KuCoin', 'CryptoBridge', 'Bitbns', 'CoinExchange']\n\n``fetch_tweets()``\n~~~~~~~~~~~~~~~~~~\nRetrieves twitter tweets.\n\n.. code-block:: python\n\n    k = Karpet(date(2019, 1, 1), date(2019, 5, 1))\n    df = k.fetch_tweets(kw_list=[\"bitcoin\"], lang=\"en\")  # Dataframe with tweets.\n    df.head()\n\n.. image:: https://raw.githubusercontent.com/im-n1/karpet/master/assets/tweets.png\n\n``fetch_google_trends()``\n~~~~~~~~~~~~~~~~~~~~~~~~~\nRetrieves Google Trends - in percents for the given date range.\n\n.. code-block:: python\n\n    k = Karpet(date(2019, 1, 1), date(2019, 5, 1))\n    df = k.fetch_google_trends(kw_list=[\"bitcoin\"])  # Dataframe with trends.\n    df.head()\n\n.. image:: https://raw.githubusercontent.com/im-n1/karpet/master/assets/google_trends.png\n\nAnd with a few lines of code you can get a chart\n\n.. code-block:: python\n\n   df = df.set_index(\"date\")\n   df.plot()\n\n.. image:: https://raw.githubusercontent.com/im-n1/karpet/master/assets/trends_chart.png\n\n``fetch_news()``\n~~~~~~~~~~~~~~~~\nRetrieves crypto news.\n\n.. code-block:: python\n\n   k = Karpet()\n   news = k.fetch_news(\"btc\")  # Gets 10 news.\n   print(news[0])\n   {\n      'url': 'https://cointelegraph.com/ ....',  # Truncated.\n      'title': 'Shell Invests in Blockchain-Based Energy Startup',\n      'description': 'The world\u2019s fifth top oil and gas firm, Shell, has...',  # Truncated.\n      'date': datetime.datetime(2019, 7, 28, 9, 24, tzinfo=datetime.timezone(datetime.timedelta(seconds=3600)))\n      'image': 'https://images.cointelegraph.com/....jpg'  # Truncated.\n   }\n   news = k.fetch_news(\"btc\", limit=30)  # Gets 30 news.\n\n``fetch_top_news()``\n~~~~~~~~~~~~~~~~~~~~\nRetrieves top crypto news in 2 categories:\n\n* Editor's choices - articles picked by editors\n* Hot stories - articles with most views\n\n.. code-block:: python\n\n   k = Karpet()\n   editors_choices, top_stories = k.fetch_top_news()\n   print(len(editors_choices))\n   5\n   print(len(top_stories))\n   5\n   print(editors_choices[0])\n   {\n      'url': 'https://cointelegraph.com/...',  # Truncated.\n      'title': 'Bank of China\u2019s New Infographic Shows Why Bitcoin Price Is Going Up',\n      'date': datetime.datetime(2019, 7, 27, 10, 7, tzinfo=datetime.timezone(datetime.timedelta(seconds=3600))),\n      'image': 'https://images.cointelegraph.com/images/740_aHR...', # Truncated.\n      'description': 'The Chinese central bank released on its website an ...'  # Truncated.\n   }\n   print(top_stories[0])\n   {\n      'url': 'https://cointelegraph.com/...',  # Truncated.\n      'title': 'Bitcoin Price Shuns Volatility as Analysts Warn of Potential Drop to $7,000',\n      'date': datetime.datetime(2019, 7, 27, 10, 7, tzinfo=datetime.timezone(datetime.timedelta(seconds=3600))),\n      'image': 'https://images.cointelegraph.com/images/740_aHR0c...'  # Truncated.\n      'description': 'Stability around $10,600 for Bitcoin price is ...'  # Truncated.\n   }\n\n\nChangelog\n---------\n0.2.5\n~~~~~\n* Added ``fetch_top_news()`` method for top crypto news separated in 2 categories.\n\n0.2.4\n~~~~~\n* ``fetch_news()`` adds new \"description\" item and renames \"image_url\" to \"image\".\n* All ``fetch_news()`` item properties are now presented even if they are ``None``.\n\n0.2.3\n~~~~~\n* Simplified import from ``from karpet.karpet import Karpet`` to ``from karpet import Karpet``.\n\n0.2.2\n~~~~~\n* Added ``fetch_news()`` method for retrieving crypto news.\n\n0.2.1\n~~~~~\n* Added ``fetch_exchanges()`` method for retrieving symbol exchange list.\n* Removed obsolete library dependency.\n\n0.2\n~~~\n* Twitter scraping added.\n\n0.1\n~~~\n* Initial release.\n\nCredits\n-------\nThis is my personal library I use in my long-term project. I can pretty much guarantee it will\nlive for a long time then. I will add new features over time and I more than welcome any\nhelp or bug reports. Feel free to open an issue or merge request.\n\nThe code is is licensed under MIT license.\n\n\n",
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