PyPI 官网下载 | insta-scrape-1.7.1.tar.gz

<p align="center"> <img src="media/logo.png" width="800px"> </p> # _instascrape_: powerful Instagram data scraping toolkit [](https://www.python.org/downloads/release/python-360/) [](https://pepy.tech/project/insta-scrape) [](https://pypi.org/project/insta-scrape/) [](https://opensource.org/licenses/MIT) [](https://github.com/chris-greening/instascrape) [](https://github.com/chris-greening/instascrape/blob/master/requirements.txt) [](https://github.com/chris-greening/instascrape/issues) [](https://github.com/psf/black) ## What is it? _instascrape_ is a lightweight Python package that provides expressive and flexible tools for scraping Instagram data. It is geared towards being a high-level building block on the data scientist's toolchain and can be seamlessly integrated and extended with industry standard tools for web scraping, data science, and analysis. <!--  --> ## Key features Here are a few of the things that `instascrape` does well: * Powerful, object-oriented scraping tools for profiles, posts, hashtags, reels, and IGTV * Scrapes HTML, BeautifulSoup, and JSON * Download content to your computer as _png_, _jpg_, _mp4_, and _mp3_ * Dynamically retrieve HTML embed code for posts * Expressive and consistent API for concise and elegant code * Designed for seamless integration with [_Selenium_](https://selenium-python.readthedocs.io/), [_Pandas_](https://pandas.pydata.org/), and other industry standard tools for data collection and analysis * Lightweight; no boilerplate or configurations necessary * The only hard dependencies are [_Requests_](https://requests.readthedocs.io/en/master/) and [_Beautiful Soup_](https://www.crummy.com/software/BeautifulSoup/bs4/doc/) * Proven to work as of December, 2020 --- ## Table of Contents * [Installation](#installation) * [Sample Usage](#features) * [Documentation](#documentation) * [Blog Posts](#blog-posts) * [Contributing](#contributing) * [Dependencies](#dependencies) * [License](#license) * [Support](#support) --- ## :computer: Installation <a name="installation"></a> ### Minimum Python version This library currently requires [Python 3.7](https://www.python.org/downloads/release/python-370/) or higher. ### pip Install from PyPI using ```shell $ pip3 install insta-scrape ``` WARNING: make sure you install _insta-scrape_ and not a package with a similar name! --- ## :mag_right: Sample Usage <a name="features"></a> All top-level, ready-to-use features can be imported using: ```python from instascrape import * ``` _instascrape_ uses clean, consistent, and expressive syntax to make the developer experience as _painless_ as possible. ```python # Instantiate the scraper objects google = Profile('https://www.instagram.com/google/') google_post = Post('https://www.instagram.com/p/CG0UU3ylXnv/') google_hashtag = Hashtag('https://www.instagram.com/explore/tags/google/') # Scrape their respective data google.scrape() google_post.scrape() google_hashtag.scrape() ``` After being scraped, relevant attributes can be accessed with dot or bracket notation ```python print(google.followers) print(google_post['hashtags']) print(google_hashtag.amount_of_posts) >>> 12262794 >>> ['growwithgoogle'] >>> 9053408 ``` ## :books: Documentation <a name="documentation"></a> The official documentation can be found on [Read The Docs](https://instascrape.readthedocs.io/en/latest/index.html) --- ## :newspaper: Blog Posts <a name="blog-posts"></a> Check out blog posts on the [official site](https://chris-greening.github.io/instascrape/blog/) or [DEV](https://dev.to/) for ideas and tutorials! - [Scrape data from Instagram with instascrape](https://dev.to/chrisgreening/scrape-data-from-instagram-with-instascrape-5e3e) - [Visualizing Instagram engagement with instascrape](https://dev.to/chrisgreening/visualizing-instagram-engagement-with-instascrape-326h) - [Exploratory data analysis of Instagram using instascrape and Python](https://dev.to/chrisgreening/exploratory-data-analysis-of-instagram-using-python-1o5c) - [Creating a scatter matrix of Instagram data using Python](https://dev.to/chrisgreening/visualizing-the-relationship-between-instagram-variables-using-python-55gg) - [Downloading an Instagram profile's recent photos using Python](https://dev.to/chrisgreening/downloading-an-instagram-profile-s-recent-photos-using-python-25b2) - [Scraping 25,000 data points from Joe Biden's Instagram using instascrape](https://dev.to/chrisgreening/scraping-25-000-data-points-from-joe-biden-s-instagram-using-instascrape-1026) - [Compare major tech Instagram page's with instascrape](https://dev.to/chrisgreening/compare-major-tech-instagram-page-s-with-instascrape-2419) - [Tracking an Instagram posts engagement in real time with instascrape](https://dev.to/chrisgreening/tracking-an-instagram-posts-engagement-in-real-time-with-instascrape-1m1j) - [Dynamically generate embeddable Instagram HTML with instascrape](https://dev.to/chrisgreening/dynamically-generate-embeddable-instagram-html-using-instascrape-3o4b) - [Scraping an Instagram location tag with instascrape](https://dev.to/chrisgreening/scraping-an-instagram-location-tag-with-instascrape-554f) - [Scraping Instagram reels with instascrape](https://dev.to/chrisgreening/scraping-instagram-reels-with-instascrape-3khb) - [Scraping IGTV data with instascrape](https://dev.to/chrisgreening/scraping-igtv-data-with-instascrape-595f) - [Scraping 10,000 data points from Donald Trump's Instagram with Python](https://dev.to/chrisgreening/scraping-10-000-data-points-from-donald-trump-s-instagram-page-with-python-2jcg) --- ## :pray: Contributing <a name="contributing"></a> All contributions, bug reports, bug fixes, documentation improvements, enhancements, and ideas are welcome! Feel free to [open an Issue](https://github.com/chris-greening/instascrape/issues/new/choose), check out existing [Issues](https://github.com/chris-greening/instascrape/issues), or [start a discussion](https://github.com/chris-greening/instascrape/discussions). Beginners to open source are highly encouraged to participate and ask questions if you're unsure what to do/where to start :heart: --- ## :spider_web: Dependencies <a name="dependencies"></a> - [Requests](https://requests.readthedocs.io/en/master/) - [BeautifulSoup](https://www.crummy.com/software/BeautifulSoup/bs4/doc/) --- ## :credit_card: License <a name="license"></a> This library operates under the [MIT](LICENSE) license. --- ## :grey_question: Support <a name="support"></a> Check out the [FAQ](https://github.com/chris-greening/instascrape/wiki/Frequently-Asked-Questions) Reach out to me if you want to connect or have any questions! * Email: * chris@christophergreening.com * Twitter: * [@ChrisGreening2](https://twitter.com/ChrisGreening2) * LinkedIn * [Chris Greening](https://www.linkedin.com/in/chris-greening-646411139/) --- <!-- The inspiration for this project began a long time ago in a galaxy far, far away (a.k.a. Summer 2019 on Long Island). I was mindlessly scrolling Instagram for the 1000th hour that week and thought, "How could I access this data programatically?". After 30 seconds of searching it became clear that Instagram's API was not going to be of any use so I was going to have to figure it out myself, and thus the beginning of instascrape was born. --> <p align="center"> <img src="