How Do I Automate Saving New Ao3 Txt Updates?

I like diving deeper and building reliable tooling, so here’s a heavier, reproducible workflow I use: run a small Python service that repeatedly checks for updates and stores text copies in a versioned archive. The core pieces are: feed discovery (feedparser), HTTP session handling (requests.Session) with login cookies if needed, an HTML parser (BeautifulSoup) to extract the chapter text block, and a persistence layer (SQLite) to track saved chapters. The loop looks like: fetch feed -> for each item check DB -> if new, GET the chapter page -> parse the content and metadata (title, chapter number, author) -> write a consistently named txt file -> update DB.

Edge cases matter: normalize filenames to strip illegal characters, handle multi-chapter uploads (some authors post multiple chapters at once), and respect rate limits by sleeping between requests. I run the script as a systemd service with a timer that triggers every 30–60 minutes. For dynamic pages that need JS, use a headless browser like Playwright instead of requests. Finally, I add a simple CLI flag to export new saves to a cloud folder using rclone so I can read them on my phone. It’s a bit of work up front, but once it’s running I’ve got clean, searchable text copies and a traceable history of updates.

Okay, I get excited about this kind of tinkering — it’s like setting up a little bot but for my reading habit. If you want an easy, low-maintenance route, start with the feed approach: many AO3 pages (tag pages, bookmarks, and search results) expose an Atom/RSS feed — look for the feed icon or the page's feed link — and you can subscribe to that feed with a tool like Inoreader or Feedly. Those services can detect new chapters or works and trigger an action (save to Pocket, email you, or send the item to Dropbox). If you want local files automatically, pair feed detection with a small script that polls the feed and downloads any new work links as plain text.

For a hands-on script: use Python with feedparser to parse the feed, then requests + BeautifulSoup to fetch the work page and extract the chapter content (search for the chapter div, often classed as user content). Save each new chapter to a txt file named like WorkTitle_Chapter_01.txt, and store a tiny database (a JSON or SQLite file) to mark what you’ve already saved. Run that script on a schedule using cron on Linux or Task Scheduler on Windows.

If you prefer a one-line solution, check out community tools such as 'fanfiction-downloader' which supports AO3 and can save works in txt/epub/mobi; you can wrap that in cron too. Whatever path you pick, throttle your checks (once an hour or less), respect AO3's terms, and use your account cookies if you need to access restricted content. Happy automating — I love waking up to a new chapter sitting in my Downloads folder!

When privacy and control are your priorities, consider running the downloader on your own machine and syncing encrypted copies to the cloud. I keep a small headless browser container that logs into AO3 with my account cookie (never store passwords in plain text), navigates to the work page, and saves the chapter HTML -> converts to plain text locally. I then commit the new files into a git repo (so I get diffs of edits) and push to a remote that I access only with SSH keys. Scheduling is done with cron, and I use Tor or a VPN if I want extra connection obscurity, though that can affect login reliability.

Two practical tips: respect AO3's servers by spacing checks (30–60 minutes), and keep a lightweight manifest file so you don’t accidentally re-download huge archives. This setup is a bit more hands-on but gives full control over how files are stored, encrypted, and versioned — and I enjoy the little ritual of checking commit history for new chapters.

If you're not keen on coding, there's a very practical no-code route that worked for me during a binge: use an RSS-to-cloud automation. First, find the feed for the AO3 page you care about (tags, a user's works, or a bookmarks page). Then use a service like IFTTT, Zapier, or Inoreader Recipes to watch that feed and, when a new item appears, save the linked page as a PDF or push the link to Google Drive/Dropbox. Inoreader is especially nice because it can save the article text directly and name the file for you.

I set mine to save into a dedicated folder and then use a simple sync tool on my laptop to pull the files down. If a story is locked behind a login, these services won’t fetch the text, so you’ll need a logged-in solution (or a desktop script). For quick setups, this method is kind to non-tech folks and keeps everything organized without needing to manage servers. It’s not as customizable as full scripting, but it’s fast and reliable for the bulk of public works.