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However, you may be facing some Ratelimits, so I recommend you to put some delay between operations.\n\n## Licence\nLicence can be found at ``LICENCE``, it's ``GNU GPLv3``.\n\n## Documentation\n\n```python\n# from apigram import ApiGram\n\nclass ApiGram:\n    \"\"\"\n    The API class provides the necessary data to perform Instagram API web requests.\n\n    To prevent flooding Instagram requests for the same target API, you can use the\n    `export_api` function to create an API cache.\n\n    You can also provide custom proxies to use for the requests.\n    \"\"\"\n\n    def __init__(self, username: str = None, proxies: dict[str, str] = None):\n        \"\"\"\n        API constructor\n\n        :param username: The target's account usrename. Used for fresh API.\n        :type username: str\n\n        :param proxies: The proxies to use for the instagram API requests.\n        :type proxies: dict\n        \"\"\"\n\n    def fetch_user_profile(self) -\u003e dict: ...\n\n    def fetch_user_metadata(self) -\u003e dict: ...\n\n    def fetch_posts(self, first: int = 12, after: str = None) -\u003e dict: ...\n\n    def fetch_post_metadata(self, shortcode: str) -\u003e dict: ...\n\n    def fetch_highlights(self) -\u003e dict: ...\n\n    def fetch_reels(self, page_size: int = 12, max_id: str = None) -\u003e dict: ...\n\n    def export_api(self, writable_stream: io.BytesIO): ...\n\n    def import_api(self, readable_stream: io.BytesIO): ...\n```\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fximaz%2Finstagram-api","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fximaz%2Finstagram-api","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fximaz%2Finstagram-api/lists"}