{
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        "author": "S-W-K",
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            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3"
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        "description": "# YahooFinanceSpider\n## Intro.\n\u65e5\u672c\u306e[\u30e4\u30d5\u30fc\u30d5\u30a1\u30a4\u30ca\u30f3\u30b9](https://stocks.finance.yahoo.co.jp/)\u304b\u3089\u682a\u4fa1\u30c7\u30fc\u30bf\u3092\u30b9\u30af\u30ec\u30a4\u30d4\u30f3\u30b0\u3059\u308b\u30d7\u30ed\u30b0\u30e9\u30e0  \n[jsm](https://pypi.org/project/jsm/)\u304c\u30e1\u30f3\u30c6\u30fc\u30ca\u30f3\u30b9\u3057\u3066\u3044\u306a\u3044\u305f\u3081,\u65b0\u305f\u306a\u30b9\u30af\u30ec\u30a4\u30d4\u30f3\u30b0\u30d7\u30ed\u30b0\u30e9\u30e0\u3092\u4f5c\u3063\u305f  \njsm\u3092\u53c2\u8003\u3057\u305f\u4e0a\u3067,lxml\u3068multiprocessing\u3092\u4f7f\u3063\u3066\u901f\u5ea6\u3092\u6539\u5584\u3057\u305f  \nmutiprocessing\u30d1\u30c3\u30b1\u30fc\u30b8\u4f7f\u3063\u3066\u30b9\u30af\u30ec\u30a4\u30d4\u30f3\u30b0\u3092\u52a0\u901f\u3059\u308b\u306e\u3067,python3.5\u4ee5\u4e0a\u304c\u5fc5\u8981  \n\u30b9\u30af\u30ec\u30a4\u30d4\u30f3\u30b0\u306f\u30e4\u30d5\u30fc\u306e\u30b5\u30fc\u30d0\u306b\u8ca0\u8377\u3092\u304b\u3051\u308b\u306e\u3067,\u60aa\u610f\u306e\u4f7f\u7528\u306f\u3084\u3081\u3066\u304f\u3060\u3055\u3044  \n## Installation\n```\npip3 install YahooFinanceSpider\n```\n## Useage\nCrawler\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u4f5c\u6210\n```python\nimport YahooFinanceSpider as y\n  c = y.Crawler()\n```\n\u3053\u306eCrawler\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u3092\u4f7f\u3063\u3066\u30c7\u30fc\u30bf\u3092\u30c0\u30f3\u30ed\u30fc\u30c9\u3059\u308b\n### \u9298\u67c4\u60c5\u5831\u306e\u53d6\u5f97\n```python\nbrand = c.get_brand_info(sector_code)\n```\n#### sector_code\u306f\u4ee5\u4e0b\u306e\u307e\u3068\u3081\u306b\u306a\u308b\n```\n'1050' # \u9271\u696d\n'2050' # \u5efa\u8a2d\u696d\n'3050' # \u98df\u6599\u54c1\n'0050' # \u8fb2\u6797\u30fb\u6c34\u7523\u696d\n'3150' # \u30d1\u30eb\u30d7\u30fb\u7d19\n'3200' # \u5316\u5b66\n'3250' # \u533b\u85ac\u54c1\n'3300' # \u77f3\u6cb9\u30fb\u77f3\u70ad\u88fd\u54c1\n'3350' # \u30b4\u30e0\u88fd\u54c1\n'3400' # \u30ac\u30e9\u30b9\u30fb\u571f\u77f3\u88fd\u54c1\n'3450' # \u9244\u92fc\n'3100' # \u7e4a\u7dad\u88fd\u54c1\n'3500' # \u975e\u9244\u91d1\u5c5e\n'3550' # \u91d1\u5c5e\u88fd\u54c1\n'3600' # \u6a5f\u68b0\n'3650' # \u96fb\u6c17\u6a5f\u5668\n'3700' # \u8f38\u9001\u6a5f\u5668\n'3750' # \u7cbe\u5bc6\u6a5f\u5668\n'3800' # \u305d\u306e\u4ed6\u88fd\u54c1\n'4050' # \u96fb\u6c17\u30fb\u30ac\u30b9\u696d\n'5050' # \u9678\u904b\u696d\n'5100' # \u6d77\u904b\u696d\n'5150' # \u7a7a\u904b\u696d\n'5200' # \u5009\u5eab\u30fb\u904b\u8f38\u95a2\u9023\u696d\n'5250' # \u60c5\u5831\u30fb\u901a\u4fe1\n'6050' # \u5378\u58f2\u696d\n'6100' # \u5c0f\u58f2\u696d\n'7050' # \u9280\u884c\u696d\n'7100' # \u8a3c\u5238\u696d\n'7150' # \u4fdd\u967a\u696d\n'7200' # \u305d\u306e\u4ed6\u91d1\u878d\u696d\n'8050' # \u4e0d\u52d5\u7523\u696d\n'9050' # \u30b5\u30fc\u30d3\u30b9\u696d\n```\n### \u682a\u4fa1\u30c7\u30fc\u30bf\u306e\u53d6\u5f97\n```python\n# \u65e5\u6bce\u306e\u30c7\u30fc\u30bf\u3092\u53d6\u5f97\nprice = c.get_price(code, start_time, end_time, y.DAILY) \n\n# \u9031\u9593\u306e\u30c7\u30fc\u30bf\u3092\u53d6\u5f97\nprice = c.get_price(code, start_time, end_time, y.WEEKLY)\n\n# \u6708\u9593\u306e\u30c7\u30fc\u30bf\u3092\u53d6\u5f97\nprice = c.get_price(code, start_time, end_time, y.MONTHLY)\n```\n### \u4f7f\u7528\u4f8b\n```python\n# \u8fb2\u6797\u6c34\u7523\u696d\u306e\u9298\u67c4\u60c5\u5831\u3092\u53d6\u5f97\nbrand = c.get_brand_info('0050')\n# \u5168\u9298\u67c4\u60c5\u5831\u3092\u53d6\u5f97\nbrand = c.get_brand_info()\n# \u30ea\u30b9\u30c8\u304b\u3089\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u3092\u53d6\u308a\u51fa\u3059\nfor i in brand:\n  print(i.code) \n```\n```python\nfrom datetime import datetime\nstart_time = datetime(2018,1,1)\nend_time = datetime(2018,8,8)\n\n# \u4e0a\u8a18\u671f\u9593\u306e\u9298\u67c4\u30b3\u30fc\u30c91301\u4f1a\u793e\u306e\u682a\u4fa1\u30c7\u30fc\u30bf\u3092\u53d6\u5f97\n# \u5168\u9298\u67c4\u306e\u9298\u67c4\u30b3\u30fc\u30c9\u306fget_brand_info()\u3067\u7372\u5f97\u3067\u304d\u308b\n  price = c.get_price('1301', start_time, end_time, y.DAILY)\n# \u30ea\u30b9\u30c8\u304b\u3089\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u3092\u53d6\u308a\u51fa\u3059\n  for i in price:\n    print(i.close) \n```\n## DataType\nget_brand_info()\u306e\u8fd4\u3059DataType\n### Brand\n```python\nBrand.code      # \u9298\u67c4\u30b3\u30fc\u30c9\nBrand.market    # \u5e02\u5834\nBrand.brand     # \u9298\u67c4\u540d\nBrand.intro     # \u9298\u67c4\u60c5\u5831\n```\nget_price()\u306e\u8fd4\u3059DataType\n### Price\n```python\nPrice.date      # \u65e5\u6642\nPrice.open      # \u59cb\u5024\nPrice.high      # \u9ad8\u5024\nPrice.low       # \u5b89\u5024\nPrice.close     # \u7d42\u5024\nPrice.volume    # \u51fa\u6765\u9ad8\nPrice.adj_close # \u8abf\u6574\u5f8c\u7d42\u5024\n```\n\u30c7\u30fc\u30bf\u304c\u7121\u3044\u3068\u304d,None\u3092\u8fd4\u3059\n### TopixPrice\n```python\nTopixPrice.date      # \u65e5\u6642\nTopixPrice.open      # \u59cb\u5024\nTopixPrice.high      # \u9ad8\u5024\nTopixPrice.low       # \u5b89\u5024\nTopixPrice.close     # \u7d42\u5024\n```\n\u30c7\u30fc\u30bf\u304c\u7121\u3044\u3068\u304d,None\u3092\u8fd4\u3059\n\n\n",
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