Installation guide

Supported Python versions

Scrapy requires Python 3.8+, either the CPython implementation (default) or the PyPy implementation (see Alternate Implementations).

Installing Scrapy

If you’re using Anaconda or Miniconda, you can install the package from the conda-forge channel, which has up-to-date packages for Linux, Windows and macOS.

To install Scrapy using conda, run:

conda install -c conda-forge scrapy

Alternatively, if you’re already familiar with installation of Python packages, you can install Scrapy and its dependencies from PyPI with:

pip install Scrapy

We strongly recommend that you install Scrapy in a dedicated virtualenv, to avoid conflicting with your system packages.

Note that sometimes this may require solving compilation issues for some Scrapy dependencies depending on your operating system, so be sure to check the Platform specific installation notes.

For more detailed and platform specifics instructions, as well as troubleshooting information, read on.

Things that are good to know

Scrapy is written in pure Python and depends on a few key Python packages (among others):

  • lxml, an efficient XML and HTML parser

  • parsel, an HTML/XML data extraction library written on top of lxml,

  • w3lib, a multi-purpose helper for dealing with URLs and web page encodings

  • twisted, an asynchronous networking framework

  • cryptography and pyOpenSSL, to deal with various network-level security needs

Some of these packages themselves depend on non-Python packages that might require additional installation steps depending on your platform. Please check platform-specific guides below.

In case of any trouble related to these dependencies, please refer to their respective installation instructions:

Platform specific installation notes


Though it’s possible to install Scrapy on Windows using pip, we recommend you to install Anaconda or Miniconda and use the package from the conda-forge channel, which will avoid most installation issues.

Once you’ve installed Anaconda or Miniconda, install Scrapy with:

conda install -c conda-forge scrapy

To install Scrapy on Windows using pip:


This installation method requires “Microsoft Visual C++” for installing some Scrapy dependencies, which demands significantly more disk space than Anaconda.

  1. Download and execute Microsoft C++ Build Tools to install the Visual Studio Installer.

  2. Run the Visual Studio Installer.

  3. Under the Workloads section, select C++ build tools.

  4. Check the installation details and make sure following packages are selected as optional components:

    • MSVC (e.g MSVC v142 - VS 2019 C++ x64/x86 build tools (v14.23) )

    • Windows SDK (e.g Windows 10 SDK (10.0.18362.0))

  5. Install the Visual Studio Build Tools.

Now, you should be able to install Scrapy using pip.

Ubuntu 14.04 or above

Scrapy is currently tested with recent-enough versions of lxml, twisted and pyOpenSSL, and is compatible with recent Ubuntu distributions. But it should support older versions of Ubuntu too, like Ubuntu 14.04, albeit with potential issues with TLS connections.

Don’t use the python-scrapy package provided by Ubuntu, they are typically too old and slow to catch up with latest Scrapy.

To install Scrapy on Ubuntu (or Ubuntu-based) systems, you need to install these dependencies:

sudo apt-get install python3 python3-dev python3-pip libxml2-dev libxslt1-dev zlib1g-dev libffi-dev libssl-dev
  • python3-dev, zlib1g-dev, libxml2-dev and libxslt1-dev are required for lxml

  • libssl-dev and libffi-dev are required for cryptography

Inside a virtualenv, you can install Scrapy with pip after that:

pip install scrapy


The same non-Python dependencies can be used to install Scrapy in Debian Jessie (8.0) and above.


Building Scrapy’s dependencies requires the presence of a C compiler and development headers. On macOS this is typically provided by Apple’s Xcode development tools. To install the Xcode command line tools open a terminal window and run:

xcode-select --install

There’s a known issue that prevents pip from updating system packages. This has to be addressed to successfully install Scrapy and its dependencies. Here are some proposed solutions:

  • (Recommended) Don’t use system Python. Install a new, updated version that doesn’t conflict with the rest of your system. Here’s how to do it using the homebrew package manager:

    • Install homebrew following the instructions in

    • Update your PATH variable to state that homebrew packages should be used before system packages (Change .bashrc to .zshrc accordingly if you’re using zsh as default shell):

      echo "export PATH=/usr/local/bin:/usr/local/sbin:$PATH" >> ~/.bashrc
    • Reload .bashrc to ensure the changes have taken place:

      source ~/.bashrc
    • Install python:

      brew install python
    • Latest versions of python have pip bundled with them so you won’t need to install it separately. If this is not the case, upgrade python:

      brew update; brew upgrade python
  • (Optional) Install Scrapy inside a Python virtual environment.

This method is a workaround for the above macOS issue, but it’s an overall good practice for managing dependencies and can complement the first method.

After any of these workarounds you should be able to install Scrapy:

pip install Scrapy


We recommend using the latest PyPy version. For PyPy3, only Linux installation was tested.

Most Scrapy dependencies now have binary wheels for CPython, but not for PyPy. This means that these dependencies will be built during installation. On macOS, you are likely to face an issue with building the Cryptography dependency. The solution to this problem is described here, that is to brew install openssl and then export the flags that this command recommends (only needed when installing Scrapy). Installing on Linux has no special issues besides installing build dependencies. Installing Scrapy with PyPy on Windows is not tested.

You can check that Scrapy is installed correctly by running scrapy bench. If this command gives errors such as TypeError: ... got 2 unexpected keyword arguments, this means that setuptools was unable to pick up one PyPy-specific dependency. To fix this issue, run pip install 'PyPyDispatcher>=2.1.0'.


AttributeError: ‘module’ object has no attribute ‘OP_NO_TLSv1_1’

After you install or upgrade Scrapy, Twisted or pyOpenSSL, you may get an exception with the following traceback:

  File "[…]/site-packages/twisted/protocols/", line 63, in <module>
    from twisted.internet._sslverify import _setAcceptableProtocols
  File "[…]/site-packages/twisted/internet/", line 38, in <module>
    TLSVersion.TLSv1_1: SSL.OP_NO_TLSv1_1,
AttributeError: 'module' object has no attribute 'OP_NO_TLSv1_1'

The reason you get this exception is that your system or virtual environment has a version of pyOpenSSL that your version of Twisted does not support.

To install a version of pyOpenSSL that your version of Twisted supports, reinstall Twisted with the tls extra option:

pip install twisted[tls]

For details, see Issue #2473.