Mirror of the ArchivalBox software source repository. Useful for storing snapshots of web pages and their resources for offline viewing or preservation.
#archival #utilities #python #webpage #web-archival #web-snapshot #storage
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"Your own personal internet archive" (网站存档 / 爬虫)
ArchiveBox is a powerful self-hosted internet archiving solution written in Python 3. You feed it URLs of pages you want to archive, and it saves them to disk in a varitety of formats depending on the configuration and the content it detects. ArchiveBox can be installed via Docker (recommended), apt, brew, or pip. It works on macOS, Windows, and Linux/BSD (both armv7 and amd64).
Once installed, URLs can be added via the command line archivebox add or the built-in Web UI archivebox server. It can ingest bookmarks from a service like Pocket/Pinboard, your entire browsing history, RSS feeds, or URLs one at a time.
The main index is a self-contained data/index.sqlite3 file, and each snapshot is stored as a folder data/archive/<timestamp>/, with an easy-to-read index.html and index.json within. For each page, ArchiveBox auto-extracts many types of assets/media and saves them in standard formats, with out-of-the-box support for: 3 types of HTML snapshots (wget, Chrome headless, singlefile), a PDF snapshot, a screenshot, a WARC archive, git repositories, images, audio, video, subtitles, article text, and more. The snapshots are browseable and managable offline through the filesystem, the built-in webserver, or the Python API.
First, get ArchiveBox using your system package manager, Docker, or pip:
# You can run it with Docker or Docker Compose (recommended)
docker pull archivebox/archivebox
# https://raw.githubusercontent.com/ArchiveBox/ArchiveBox/master/docker-compose.yml
# or Ubuntu/Debian
sudo add-apt-repository -u ppa:archivebox/archivebox
apt install archivebox
# or macOS
brew install archivebox/archivebox/archivebox
# or for the Python version only, without wget/git/chrome/etc. included
pip3 install archivebox
# If you're using an apt/brew/pip install you can run archivebox commands normally
# archivebox [subcommand] [...args]
# If you're using Docker you'll have to run the commands like this
# docker run -v $PWD:/data -it archivebox/archivebox [subcommand] [...args]
# And the equivalent in Docker Compose:
# docker-compose run archivebox [subcommand] [...args]
Check that everything installed correctly with archivebox --version
To start using archivebox, you have to create a data folder and cd into it:
mkdir ~/archivebox && cd ~/archivebox # you can put the collection dir anywhere
archivebox init
Then Add some URLs to your archive collection:
archivebox add https://github.com/ArchiveBox/ArchiveBox
archivebox add --depth=1 https://example.com
View the snapshots of the URLs you added via the self-hosted web UI:
archivebox manage createsuperuser # create an admin acct
archivebox server 0.0.0.0:8000 # start the web server
open http://127.0.0.1:8000/ # open the interactive admin panel
ls ~/archivebox/archive/*/index.html # or browse the snapshots on disk
ArchiveBox is a command line tool, self-hostable web-archiving server, and Python library all-in-one. It can be installed on Docker, macOS, and Linux/BSD, and Windows. You can download and install it as a Debian/Ubuntu package, Homebrew package, Python3 package, or a Docker image. No matter which install method you choose, they all provide the same CLI, Web UI, and on-disk data format.
To use ArchiveBox you start by creating a folder for your data to live in (it can be anywhere on your system), and running archivebox init inside of it. That will create a sqlite3 index and an ArchiveBox.conf file. After that, you can continue to add/export/manage/etc using the CLI archivebox help, or you can run the Web UI (recommended).
The CLI is considered "stable", the ArchiveBox Python API and REST APIs are in "beta", and the desktop app is in "alpha" stage.
At the end of the day, the goal is to sleep soundly knowing that the part of the internet you care about will be automatically preserved in multiple, durable long-term formats that will be accessible for decades (or longer). You can also self-host your archivebox server on a public domain to provide archive.org-style public access to your site snapshots.
Browser history or bookmarks exports (Chrome, Firefox, Safari, IE, Opera, and more)
-
Vast treasure troves of knowledge are lost every day on the internet to link rot. As a society, we have an imperative to preserve some important parts of that treasure, just like we preserve our books, paintings, and music in physical libraries long after the originals go out of print or fade into obscurity.
Whether it's to resist censorship by saving articles before they get taken down or edited, or just to save a collection of early 2010's flash games you love to play, having the tools to archive internet content enables to you save the stuff you care most about before it disappears.
The balance between the permanence and ephemeral nature of content on the internet is part of what makes it beautiful. I don't think everything should be preserved in an automated fashion, making all content permanent and never removable, but I do think people should be able to decide for themselves and effectively archive specific content that they care about.
Because modern websites are complicated and often rely on dynamic content, ArchiveBox archives the sites in several different formats beyond what public archiving services like Archive.org and Archive.is are capable of saving. Using multiple methods and the market-dominant browser to execute JS ensures we can save even the most complex, finicky websites in at least a few high-quality, long-term data formats.
All the archived links are stored by date bookmarked in ./archive/<timestamp>, and everything is indexed nicely with JSON & HTML files. The intent is for all the content to be viewable with common software in 50 - 100 years without needing to run ArchiveBox in a VM.
▶ Check out our community page for an index of web archiving initiatives and projects.
The aim of ArchiveBox is to go beyond what the Wayback Machine and other public archiving services can do, by adding a headless browser to replay sessions accurately, and by automatically extracting all the content in multiple redundant formats that will survive being passed down to historians and archivists through many generations.
ArchiveBox differentiates itself from similar projects by being a simple, one-shot CLI interface for users to ingest bulk feeds of URLs over extended periods, as opposed to being a backend service that ingests individual, manually-submitted URLs from a web UI. However, we also have the option to add urls via a web interface through our Django frontend.
Unlike crawler software that starts from a seed URL and works outwards, or public tools like Archive.org designed for users to manually submit links from the public internet, ArchiveBox tries to be a set-and-forget archiver suitable for archiving your entire browsing history, RSS feeds, or bookmarks, including private/authenticated content that you wouldn't otherwise share with a centralized service (do not do this until v0.5 is released with some security fixes). Also by having each user store their own content locally, we can save much larger portions of everyone's browsing history than a shared centralized service would be able to handle.
Because ArchiveBox is designed to ingest a firehose of browser history and bookmark feeds to a local disk, it can be much more disk-space intensive than a centralized service like the Internet Archive or Archive.today. However, as storage space gets cheaper and compression improves, you should be able to use it continuously over the years without having to delete anything. In my experience, ArchiveBox uses about 5gb per 1000 articles, but your milage may vary depending on which options you have enabled and what types of sites you're archiving. By default, it archives everything in as many formats as possible, meaning it takes more space than a using a single method, but more content is accurately replayable over extended periods of time. Storage requirements can be reduced by using a compressed/deduplicated filesystem like ZFS/BTRFS, or by setting SAVE_MEDIA=False to skip audio & video files.
Whether you want to learn which organizations are the big players in the web archiving space, want to find a specific open-source tool for your web archiving need, or just want to see where archivists hang out online, our Community Wiki page serves as an index of the broader web archiving community. Check it out to learn about some of the coolest web archiving projects and communities on the web!


We use the Github wiki system and Read the Docs (WIP) for documentation.
You can also access the docs locally by looking in the ArchiveBox/docs/ folder.
All contributions to ArchiveBox are welcomed! Check our issues and Roadmap for things to work on, and please open an issue to discuss your proposed implementation before working on things! Otherwise we may have to close your PR if it doesn't align with our roadmap.
First, install the system dependencies from the "Bare Metal" section above. Then you can clone the ArchiveBox repo and install
git clone https://github.com/ArchiveBox/ArchiveBox
cd ArchiveBox
git checkout master # or the branch you want to test
git pull
# Install ArchiveBox + python dependencies
python3 -m venv .venv && source .venv/bin/activate && pip install -e .[dev]
# or
pipenv install --dev && pipenv shell
# Install node dependencies
npm install
# Optional: install the extractor dependencies
./bin/setup.sh
# Optional: develop via docker by mounting the code dir into the container
# if you edit e.g. ./archivebox/core/models.py on the docker host, runserver
# inside the container will reload and pick up your changes
docker build . -t archivebox
docker run -it -p 8000:8000 \
-v $PWD/data:/data \
-v $PWD/archivebox:/app/archivebox \
archivebox server 0.0.0.0:8000 --debug --reload
See the ./bin/ folder and read the source of the bash scripts within.
You can also run all these in Docker. For more examples see the Github Actions CI/CD tests that are run: .github/workflows/*.yaml.
./bin/lint.sh
(uses flake8 and mypy)
./bin/test.sh
(uses pytest -s)
./bin/build.sh
# or individually:
./bin/build_docs.sh
./bin/build_pip.sh
./bin/build_docker.sh
./bin/release.sh
(bumps the version, builds, and pushes a release to PyPI, Docker Hub, and Github Packages)