goodreads-tools 1.1.3

Unofficial Goodreads tools for exporting reading timelines and pages/day charts.

Goodreads Tools (unofficial)

A pragmatic, scriptable CLI that turns your Goodreads shelves into dashboard-ready data. It exports clean JSONL for your reading timeline (including rereads), estimates pages per day, and renders a text-based bar chart you can use in a terminal or CI logs.

What it does

• Export your reading timeline with start/end dates and page counts.
• Generate pages-per-day charts from that timeline (even with overlapping reads).
• Pull book metadata and public shelf data without needing API keys.
• Keep everything scriptable with JSON/CSV output.

How it works

• Public data comes from Goodreads RSS feeds and book pages.
• For read-start/end dates, the CLI scrapes the public review list HTML (the read shelf exposes those fields).
• Page counts come from RSS when available and fall back to book pages if needed.
• Auth helpers exist for future write operations, but are not required for read-only features.

Sample: last 10 finished books (read shelf)

Title	Started	Finished	Pages	Book ID
A Christmas Carol	2025-12-22	2025-12-30	184	5326
A Philosophy of Software Design	2025-08-01	2025-12-30	184	58665335
The Wright Brothers	2025-10-13	2025-10-14	320	22609391
The Secret of Our Success: How Culture Is Driving Human Evolution, Domesticating Our Species, and Making Us Smarter	2025-09-15	2025-10-10	456	25761655
Kill It with Fire: Manage Aging Computer Systems	2025-09-27	2025-10-07	248	54716655
The Almanack of Naval Ravikant: A Guide to Wealth and Happiness	2025-09-25	2025-10-05	244	54898389
The Thinking Machine: Jensen Huang, Nvidia, and the World's Most Coveted Microchip	2025-09-05	2025-09-12	272	211399783
Influence: The Psychology of Persuasion	2025-07-30	2025-09-06	320	28815
Think Again: The Power of Knowing What You Don't Know	2025-06-12	2025-07-22	307	55539565
Getting Naked: A Business Fable about Shedding the Three Fears That Sabotage Client Loyalty	2025-07-01	2025-07-07	240	7717531

More sample outputs live in samples/README.md.

Quick start

# search titles
uv run goodreads-tools public search "Dune" -n 5

# export a reading timeline as JSONL
uv run goodreads-tools public shelf timeline --user <user-id> --shelf read --source html --format jsonl

# HTML scraping is concurrent by default; use --concurrency 1 to opt out
uv run goodreads-tools public shelf timeline --user <user-id> --shelf read --source html --format jsonl --concurrency 1

# render a pages/day chart for a date range
uv run goodreads-tools public shelf chart --user <user-id> --shelf read --source html --from 2023-01-01 --to 2025-12-30 --bin-days 14

Development

# create / activate the project environment
uv sync

# run the dev CLI
uv run goodreads-tools

# run via uvx (local)
uvx --from . goodreads-tools --help

# run via uvx (git)
uvx --from git+https://github.com/EvanOman/goodreads-tools goodreads-tools --help

# run unit tests
uv run pytest

# run live tests (network)
GOODREADS_LIVE=1 uv run pytest -m live

# justfile helpers (lint/type/test)
just lint
just type
just test

Releases

Releases use release-please with conventional-commit PR titles. It maintains a single release PR on master; when you merge that PR, it creates the tag and GitHub Release. The PyPI publish job runs on the GitHub Release (best-effort until OIDC is configured). See docs/RELEASE.md for the full flow and examples.

The project targets Python 3.13 (via .python-version). Use uv for dependency management and execution.