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Home»Investigations»The Open Supply Software That Has Preserved 150,000 Items of On-line Proof
Investigations

The Open Supply Software That Has Preserved 150,000 Items of On-line Proof

Buzzin DailyBy Buzzin DailyAugust 13, 2025No Comments9 Mins Read
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The Open Supply Software That Has Preserved 150,000 Items of On-line Proof
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Bellingcat’s Auto Archiver is a instrument aimed toward preserving on-line digital content material earlier than it may be modified, deleted or taken down. Publicly launched in 2022, it has preserved over 150,000 internet pages and social media posts so far. The Auto Archiver has been utilized by Bellingcat’s journalists to protect info on dozens of fast-paced occasions such because the Jan. 6 riots – after we first used the instrument internally – in addition to collect digital proof for our Justice and Accountability undertaking and to watch Civilian Hurt in Ukraine.

The Auto Archiver has additionally been adopted by each massive newsrooms and NGOs. It has been  utilized by particular person researchers, journalists, activists, archivists, teachers and builders as effectively.  With curiosity within the instrument sturdy, we’ve labored laborious so as to add to and enhance it over time. However we’ve used the previous few months to take a step again and to construct a brand new and extra sturdy ecosystem to additional assist particular person organisations and researchers use and profit from it.

Our goal has been to make it extra dependable and even simpler to make use of for extra individuals. At the moment, we’re completely happy to announce an up to date model of the Auto Archiver which incorporates many new options like:

  • Detailed documentation for all options and configurations
  • A user-friendly interface designed for groups utilizing a shared occasion
  • A brand new modular construction that improves the startup pace and reliability of the instrument
  • New options like chain of custody, perceptual hashing for deduplication, and strategies to keep away from anti-bot measures and captchas on web sites
  • A user-friendly instrument to configure the Auto Archiver, with out the necessity to edit configuration textual content information
Screenshot of recent Documentation web site for the Auto Archiver

For an in-depth take a look at the adjustments made on this steady model of the Auto Archiver, see the What Modified, What Stays part additional down on this article.

Automated Archiving and Collaboration – When to Use This Software?

The most recent model of the Auto Archiver has an easy-to-use internet interface and a simplified set up course of that makes it extra easy to arrange than earlier than. Nonetheless, some technical abilities are nonetheless required for this preliminary course of, and there are different instruments out there that would meet lots of your archiving wants.

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If all you want is to archive a couple of unauthenticated URLs, we suggest utilizing the Wayback Machine or Archive.right this moment. Alternatively, WebRecorder’s browser extension ArchiveWebPage can create a replayable archive of a web site you go to – even for content material behind login partitions. For batch processing, the Wayback Machine has a bulk add service that accepts Google Sheets. In the event you individually have to file all of your browser interactions and retailer content material alongside the best way there are paid choices like Hunchly. Lastly, if all you have an interest in are movies and are comfy with the command line, yt-dlp will most likely be sufficient to obtain these, even in bulk.

However should you’re hoping to automate your archiving, or archive numerous URLs in a collaborative atmosphere, then that is the place the Auto Archiver actually shines. Its modular framework permits you or your crew to customize archiving primarily based in your wants, and gives a technique to generate metadata that ensures others can belief that your archived content material has not been tampered with. 

Be taught extra about what websites the Auto Archiver can archive right here.

The Way forward for Net Archiving

Archiving the net is difficult, particularly when logins, captchas, and different bot prevention techniques are in place. We’ll do our greatest to maintain enhancing our Auto Archiver, however we notice that it needs to be simply certainly one of many instruments in your researcher’s toolkit. You may discover quite a lot of different helpful instruments within the Bellingcat Open Supply Investigation Toolkit.

Nonetheless, if you wish to assist us on this journey of archiving essential info, you possibly can:

  • Obtain and use this instrument
  • Donate on to Bellingcat
  • Check, give suggestions, and develop new options in our GitHub

For newsrooms:
In the event you work in a newsroom or analysis crew and need to entry a demo or assist to deploy the Auto Archiver internally you possibly can attain us at contact-tech@bellingcat.com with the Topic “Auto Archiver at [my team/organisation]” and inform us extra about your organisation and archiving wants. Constructing a higher adoption base is one of the simplest ways to make sure the way forward for this instrument and its versatility.

What Modified, What Stays

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Now that we’ve given a broad overview of the instrument and its adjustments, what follows is a deeper take a look at how completely different elements of it work and work together. This may seemingly be of higher profit for extra technical customers, and we once more stress that profitable customers of the instrument will seemingly want some technical data to set it up for the primary time. 

However assist is accessible with our reside Auto Archiver Documentation. That is the place you’ll at all times discover the newest info on learn how to set up, configure or debug the instrument. Even when some points talked about on this article change within the coming years, the documentation will likely be your go-to area for the updated directions. 

You probably have questions or issues please open an difficulty on GitHub. That’s the place others will even be going to for assist and constitutes our shared data area.

A New Structure

Many open supply researchers, together with at Bellingcat, favour utilizing the Auto Archiver with the Google Sheets integration, which permits customers to work collaboratively by including hyperlinks to a spreadsheet and letting the Auto Archiver run within the background. Nonetheless, we’ve now made it less complicated to combine the Auto Archiver into different techniques. One such instance is ATLOS, a collaborative investigations platform that built-in the Auto Archiver and which has been utilized by Bellingcat and the Centre for Data Resilience. 

Integration is feasible by way of the brand new modular structure of the Auto Archiver and will be seen within the two new tasks that we just lately made public below open supply code licenses: the Auto Archiver API and the Auto Archiver Net Interface.

A display seize of the brand new Auto Archiver Net Interface displaying the Google Spreadsheets administration web page, the place customers can allow the Auto Archiver to run periodically on new or current spreadsheets.

Modules are the constructing blocks of the archiving pipeline and inform the instrument learn how to run. They element the place to seek out the URLs, which archiving strategies to make use of, what extra processing to hold out on archived content material and the place and learn how to retailer it. Every module falls into a particular class:

  1. Feeder modules specify the place to learn the URLs from. There’s one for Google Sheets, for instance. 
  2. Extractor modules obtain media and different metadata from a URL: our most versatile one is the Generic Extractor, which makes use of yt-dlp to obtain movies. Nonetheless, extractors will be tailor made for particular platforms just like the Telethon Extractor, which requires a Telegram account to obtain all media and metadata from the messages in public or personal chats an account has joined. 
  3. Enricher modules enhance the worth of the archived content material with extra info or checks, corresponding to hashing or timestamping the content material for future consistency or chain of custody validations. 
  4. Formatter modules acquire and show the results of the method in a single formatted output. We use the HTML Formatter, as proven in this Bluesky put up instance.
  5. Storage modules inform the instrument the place to place the information it downloaded or generated. The simplest is to retailer it domestically. However to make sure higher preservation the perfect follow is to make use of cloud storages like S3 or Google Drive. 
  6. Database modules merely point out the place to avoid wasting a file of this archive, corresponding to whether or not archival was profitable and which strategies have been used. You need to use a CSV file and Google Sheets, for instance. 

The modules documentation will be discovered right here and it’s there that can assist you perceive how every module works and is configured. Configuring which modules to make use of is completed by way of a YAML file. In case you are not comfy with these, we’ve you coated with a brand new interface referred to as the configuration editor the place you possibly can visually create or edit your modules configuration. In truth, the primary time you run the Auto Archiver a minimal working YAML configuration file is generated which you should use immediately to learn URLs from the command line and retailer archived content material domestically.

Some platforms rate-limit or outright block IPs primarily based on inauthentic behaviour. One of many methods we make use of to avoid that’s sending visitors by way of a proxy, which you’ll configure in particular modules just like the Generic Extractor . We now have been utilizing Oxylab’s Residential Proxies as a part of their Undertaking 4beta efficiently for over a 12 months, however know that there are a number of good suppliers on the market. 

In case you are a developer, you possibly can design new modules as wanted utilizing Python code, and we welcome it if you wish to contribute these again to our code. Think about a Feeder that’s continuously scraping URLs from a Bluesky account, or an Enricher that makes use of an AI mannequin to detect and blur graphic content material. All of that’s attainable and simple to construct on this new structure. 

We hope you’ll benefit from the up to date instrument.

Please give us any suggestions or options for enhancements by contacting us by way of contact-tech@bellingcat.com.


Bellingcat is a non-profit and the power to hold out our work depends on the type assist of particular person donors. If you need to assist our work, you are able to do so right here. You may also subscribe to our Patreon channel right here. Subscribe to our Publication and comply with us on Bluesky right here and Instagram right here.



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