IGram


NameIGram JSON
Version 0.0.25 PyPI version JSON
download
home_page
SummaryInstaGram Scrapper
upload_time2023-03-19 07:09:29
maintainer
docs_urlNone
authorVaibhav Pandey
requires_python
license
keywords instagram info webscrapping instagram id name igram insta scrapper webscrapper beautifulsoup vaibhavpandey module vaibhav pandey python module instagram by pyhton
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            A webscrapper to Scrap some details from INSTAGRAM handle
This would basically gives the 
Posts(),Followers(),Following(),ProfileImage(),Name(),Description()

            

Raw data

            {
    "_id": null,
    "home_page": "",
    "name": "IGram",
    "maintainer": "",
    "docs_url": null,
    "requires_python": "",
    "maintainer_email": "",
    "keywords": "Instagram info,webscrapping,instagram id name,IGram,insta scrapper,webscrapper,beautifulsoup,vaibhavpandey module,vaibhav pandey python module,Instagram by pyhton",
    "author": "Vaibhav Pandey",
    "author_email": "pandey.vaibhav3110@gmail.com",
    "download_url": "https://files.pythonhosted.org/packages/4e/38/a726905d5b744c2972f4eed7996654ee4e2124a0dd2186f3daf17528be90/IGram-0.0.25.tar.gz",
    "platform": null,
    "description": "A webscrapper to Scrap some details from INSTAGRAM handle\nThis would basically gives the \nPosts(),Followers(),Following(),ProfileImage(),Name(),Description()\n",
    "bugtrack_url": null,
    "license": "",
    "summary": "InstaGram Scrapper",
    "version": "0.0.25",
    "split_keywords": [
        "instagram info",
        "webscrapping",
        "instagram id name",
        "igram",
        "insta scrapper",
        "webscrapper",
        "beautifulsoup",
        "vaibhavpandey module",
        "vaibhav pandey python module",
        "instagram by pyhton"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "6724e3ecc9c1cc7abd4c619071debd01fc93e479fb41dbd28a1006c4175e39d6",
                "md5": "57a23eefcecfc171b5d348bc647aa47a",
                "sha256": "4e28594adae6a85d34ac7317c9a34af88a889325a228157b3e5b3567070c8e85"
            },
            "downloads": -1,
            "filename": "IGram-0.0.25-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "57a23eefcecfc171b5d348bc647aa47a",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": null,
            "size": 2824,
            "upload_time": "2023-03-19T07:09:27",
            "upload_time_iso_8601": "2023-03-19T07:09:27.765219Z",
            "url": "https://files.pythonhosted.org/packages/67/24/e3ecc9c1cc7abd4c619071debd01fc93e479fb41dbd28a1006c4175e39d6/IGram-0.0.25-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "4e38a726905d5b744c2972f4eed7996654ee4e2124a0dd2186f3daf17528be90",
                "md5": "c3e8c5f9aac91a88b370b6fabf60b0ef",
                "sha256": "d3dafa8f3ea36c57b3ef72e1c968609403606c5bfd25fbca386fd16ccdb8f190"
            },
            "downloads": -1,
            "filename": "IGram-0.0.25.tar.gz",
            "has_sig": false,
            "md5_digest": "c3e8c5f9aac91a88b370b6fabf60b0ef",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 2602,
            "upload_time": "2023-03-19T07:09:29",
            "upload_time_iso_8601": "2023-03-19T07:09:29.382090Z",
            "url": "https://files.pythonhosted.org/packages/4e/38/a726905d5b744c2972f4eed7996654ee4e2124a0dd2186f3daf17528be90/IGram-0.0.25.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2023-03-19 07:09:29",
    "github": false,
    "gitlab": false,
    "bitbucket": false,
    "lcname": "igram"
}
        
Elapsed time: 0.07166s