Copies Goodreads book metadata to JSON format with multiple AI-powered category selection options
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// ==UserScript==
// @name Goodreads Book Metadata with Multiple AI Options
// @namespace https://greasyfork.org/en/scripts/513471
// @version 1.0.1
// @license MIT
// @description Copies Goodreads book metadata to JSON format with multiple AI-powered category selection options
// @author SnowmanNurse
// @match https://www.goodreads.com/book/show/*
// @grant none
// ==/UserScript==
(function() {
'use strict';
const CATEGORY_SELECTION_METHOD = 3; // 1 for direct mapping, 2 for scoring method, 3 for AI-based selection
// AI model selection (only used if CATEGORY_SELECTION_METHOD is 3)
// 0: None (fall back to direct mapping), 1: ChatGPT (OpenAI), 2: Meta Llama, 3: Google Gemini 128K,
// 4: Mistral AI, 5: Google Gemini 1M, 6: Anthropic Claude 3
const AI_MODEL = 1;
// API keys (Replace with your actual API keys)
const CHATGPT_API_KEY = "your_chatgpt_api_key_here";
const META_API_KEY = "your_meta_api_key_here";
const GOOGLE_API_KEY = "your_google_api_key_here";
const MISTRAL_API_KEY = "your_mistral_api_key_here";
const ANTHROPIC_API_KEY = "your_anthropic_api_key_here";
const AVAILABLE_CATEGORIES = [
"Ebooks - Art", "Ebooks - Biographical", "Ebooks - Business", "Ebooks - Computers",
"Ebooks - Cooking", "Ebooks - Crafts", "Ebooks - Fantasy", "Ebooks - Fiction",
"Ebooks - Health", "Ebooks - History", "Ebooks - Home & Garden", "Ebooks - Horror",
"Ebooks - Humor", "Ebooks - Juvenile", "Ebooks - Language", "Ebooks - Literature",
"Ebooks - Mathematics", "Ebooks - Medical", "Ebooks - Mystery", "Ebooks - Nature",
"Ebooks - Philosophy", "Ebooks - Politics", "Ebooks - Reference", "Ebooks - Religion",
"Ebooks - Romance", "Ebooks - Science", "Ebooks - Science Fiction", "Ebooks - Self-Help",
"Ebooks - Social Science", "Ebooks - Sports", "Ebooks - Technology", "Ebooks - Travel",
"Ebooks - True Crime", "Ebooks - Young Adult"
];
// Mapping from Goodreads shelves to categories
const GOODREADS_TO_MAM_CATEGORY_MAP = {
"Art": "Ebooks - Art",
"Biography": "Ebooks - Biographical",
"Business": "Ebooks - Business",
"Computer Science": "Ebooks - Computers",
"Cooking": "Ebooks - Cooking",
"Crafts": "Ebooks - Crafts",
"Fantasy": "Ebooks - Fantasy",
"Fiction": "Ebooks - Fiction",
"Health": "Ebooks - Health",
"History": "Ebooks - History",
"Horror": "Ebooks - Horror",
"Humor": "Ebooks - Humor",
"Children's": "Ebooks - Juvenile",
"Reference": "Ebooks - Reference",
"Romance": "Ebooks - Romance",
"Science": "Ebooks - Science",
"Self Help": "Ebooks - Self-Help",
"Sports": "Ebooks - Sports",
"Young Adult": "Ebooks - Young Adult"
};
// SVG logo
const svgLogo = `<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 59.16 69.57'>
<g transform='translate(-110.73,-61.49)'>
<path d='m 130.15,99.28 c 2.9,-1.3 4.93,-4.22 4.94,-7.6 0,-4.61 -3.74,-8.35 -8.35,-8.35 -4.61,0 -8.35,3.74 -8.35,8.35 0,4.6 3.74,8.34 8.35,8.34 0.72,0 1.41,-0.1 2.08,-0.27 0.41,-0.18 0.85,-0.33 1.32,-0.46 z m -7.55,-6.13 c 0,-2.3 1.87,-4.17 4.18,-4.17 0.58,0 1.15,0.12 1.65,0.34 -0.11,0.31 -0.18,0.65 -0.18,1.0 0,1.53 1.19,2.79 2.7,2.91 -0.04,2.26 -1.89,4.09 -4.17,4.09 -2.3,0 -4.18,-1.87 -4.18,-4.17' style='fill:#ffffff;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:0.03' />
<path d='m 146.01,83.31 c -4.61,0 -8.35,3.74 -8.35,8.35 0,3.35 1.97,6.23 4.82,7.56 0.55,0.14 1.08,0.32 1.56,0.54 0.63,0.15 1.28,0.24 1.96,0.24 4.6,0 8.34,-3.74 8.35,-8.35 0,-4.61 -3.74,-8.35 -8.35,-8.35 z m 0.04,14.01 c -2.3,0 -4.17,-1.87 -4.17,-4.17 0,-2.3 1.87,-4.17 4.17,-4.17 0.51,0 1.01,0.09 1.46,0.26 -0.13,0.33 -0.21,0.7 -0.21,1.08 0,1.61 1.3,2.92 2.92,2.92 -0.05,2.26 -1.9,4.08 -4.17,4.08' style='fill:#ffffff;fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:0.03' />
</g>
</svg>`;
function cleanName(name) {
const titlesToRemove = [
"PhD", "MD", "JD", "MBA", "MA", "MS", "MSc", "MFA", "MEd", "ScD", "DrPH", "MPH", "LLM", "DDS", "DVM",
"EdD", "PsyD", "ThD", "DO", "PharmD", "DSc", "DBA", "RN", "CPA", "Esq\\.", "LCSW", "PE", "AIA", "FAIA",
"CSP", "CFP", "Jr\\.", "Sr\\.", "I", "II", "III", "IV", "Dr\\.", "Mr\\.", "Mrs\\.", "Ms\\.", "Prof\\.", "Rev\\.", "Fr\\.",
"Sr\\.", "Capt\\.", "Col\\.", "Gen\\.", "Lt\\.", "Cmdr\\.", "Adm\\.", "Sir", "Dame", "Hon\\.", "Amb\\.", "Gov\\.", "Sen\\.",
"Rep\\.", "BSN", "MSN", "DNP", "CNE", "CNEcl", "ANEF", "FAADN", "COI"
];
// Start with the original name
let cleanedName = name.trim();
// First remove credentials after commas
cleanedName = cleanedName.split(',')[0].trim();
// Create pattern for space-separated credentials
const credentialPattern = `\\s+(${titlesToRemove.join('|')})\\b`;
const credentialRegex = new RegExp(credentialPattern, 'g');
// Remove space-separated credentials
cleanedName = cleanedName.replace(credentialRegex, '');
// Final cleanup of any extra spaces while preserving internal spaces
cleanedName = cleanedName.replace(/\s+/g, ' ').trim();
return cleanedName;
}
function cleanText(text) {
return text
.replace(/\u200E/g, '') // Remove LTR mark
.replace(/\s+/g, ' ')
.replace(/›.*$/g, '')
.replace(/‹.*$/g, '')
.trim();
}
function cleanDescription(description) {
return description
.replace(/<div>/gi, '')
.replace(/<\/div>/gi, '')
.replace(/<p>(.*?)<\/p>/g, '$1\n\n')
.replace(/<br\s*\/?>/gi, '\n')
.replace(/<i>/gi, '[i]')
.replace(/<\/i>/gi, '[/i]')
.replace(/<b>/gi, '[b]')
.replace(/<\/b>/gi, '[/b]')
.replace(/<em>/gi, '[i]')
.replace(/<\/em>/gi, '[/i]')
.replace(/<strong>/gi, '[b]')
.replace(/<\/strong>/gi, '[/b]')
.replace(/\n\s*\n/g, '\n\n')
.trim();
}
function showOverlay() {
const overlayHtml = `
<div id="mam-overlay" style="display: none; position: fixed; top: 0; left: 0; width: 100%; height: 100%; background: rgba(0,0,0,0.5); backdrop-filter: blur(5px); z-index: 9999;">
<div style="position: absolute; top: 50%; left: 50%; transform: translate(-50%, -50%); background: white; padding: 20px; border-radius: 5px; text-align: center;">
<p style="font-size: 18px; margin: 0;">Processing JSON data...</p>
<p style="font-size: 16px; margin: 10px 0 0;">Please wait...</p>
<div id="ai-gif" style="display: none; margin-top: 20px;">
<img src="https://c.tenor.com/JDV9WN1QC3kAAAAC/tenor.gif" alt="AI Processing" style="max-width: 200px;">
</div>
</div>
</div>`;
if (!document.getElementById('mam-overlay')) {
document.body.insertAdjacentHTML('beforeend', overlayHtml);
}
document.getElementById("mam-overlay").style.display = "block";
if (CATEGORY_SELECTION_METHOD === 3 && AI_MODEL !== 0) {
document.getElementById("ai-gif").style.display = "block";
}
}
function hideOverlay() {
const overlay = document.getElementById("mam-overlay");
if (overlay) {
overlay.style.display = "none";
const aiGif = document.getElementById("ai-gif");
if (aiGif) {
aiGif.style.display = "none";
}
}
}
function getAuthors() {
let authorElements = document.querySelectorAll('.ContributorLink__name');
let authors = [];
authorElements.forEach(element => {
if (element) {
let authorName = element.textContent.trim();
authorName = cleanName(authorName);
if (authorName && !authors.includes(authorName)) {
authors.push(authorName);
}
}
});
return authors;
}
function getTitle() {
let titleElement = document.querySelector('.Text.Text__title1');
let title = titleElement ? titleElement.textContent.trim() : "";
return title;
}
function getDescription() {
let descriptionElement = document.querySelector('.DetailsLayoutRightParagraph__widthConstrained .Formatted');
if (!descriptionElement) return "No description available";
return cleanDescription(descriptionElement.innerHTML);
}
function getThumbnail() {
let imgElement = document.querySelector('.BookCover__image .ResponsiveImage');
return imgElement ? imgElement.getAttribute('src') : "";
}
function getLanguage() {
let languageElement = document.querySelector('div.BookDetails [data-testid*="language"]');
if (languageElement) {
return languageElement.textContent.replace('Language:', '').trim();
}
return "English";
}
function getTags() {
let tags = [];
// Get publication info
let publisherInfo = document.querySelector('div.BookDetails [data-testid*="publisher"]');
if (publisherInfo) {
const publisherText = publisherInfo.textContent
.replace('Publisher:', '')
.split('(')[0] // Remove anything in parentheses
.trim();
if (publisherText) {
tags.push(`Publisher: ${publisherText}`);
}
}
// Get publication date
let dateElement = document.querySelector('div.BookDetails [data-testid*="publicationInfo"]');
if (dateElement) {
const dateText = dateElement.textContent
.replace('Published', '')
.replace(':', '')
.trim();
if (dateText) {
tags.push(`Published: ${dateText}`);
}
}
// Get page count
let pagesElement = document.querySelector('div.BookDetails [data-testid*="pagesFormat"]');
if (pagesElement) {
const pagesMatch = pagesElement.textContent.match(/(\d+)\s*pages/);
if (pagesMatch) {
tags.push(`Pages: ${pagesMatch[1]}`);
}
}
// Get formats
let formatElement = document.querySelector('div.BookDetails [data-testid*="format"]');
if (formatElement) {
const format = formatElement.textContent.replace('Format:', '').trim();
if (format) {
tags.push(format);
}
}
// Get genres/shelves
let genreElements = document.querySelectorAll('.BookPageMetadataSection__genres a');
genreElements.forEach(element => {
const genre = element.textContent.trim();
if (genre) {
tags.push(genre);
}
});
// Get series info for tags if exists
const seriesElement = document.querySelector('.BookPageTitleSection__title .Text__subdued');
if (seriesElement) {
const seriesText = seriesElement.textContent.trim();
if (seriesText) {
tags.push(seriesText);
}
}
// Clean and format tags
let cleanedTags = tags
.filter(tag => tag && tag.trim()) // Remove empty tags
.map(tag => tag.replace(/\s+/g, ' ').trim()) // Clean up whitespace
.filter((tag, index, self) => self.indexOf(tag) === index); // Remove duplicates
return cleanedTags.join(" | ");
}
function getSeriesInfo() {
let seriesInfo = [];
const seriesElement = document.querySelector('.BookPageTitleSection__title .Text__subdued');
if (seriesElement) {
let seriesText = seriesElement.textContent.trim();
const seriesMatch = seriesText.match(/(.*?)(?:\s*#(\d+))?$/);
if (seriesMatch) {
seriesInfo.push({
name: seriesMatch[1].trim(),
number: seriesMatch[2] || ""
});
}
}
return seriesInfo;
}
function getBookData() {
const script = document.querySelector("script[id=__NEXT_DATA__]");
const json = JSON.parse(script.textContent);
return json.props.pageProps.apolloState;
}
function getISBN() {
const bookData = getBookData();
for (const key in bookData) {
if (key.startsWith("Book:") && bookData[key].hasOwnProperty("details")) {
const details = bookData[key].details;
return details.isbn13 || details.isbn10 || details.asin || "";
}
}
return "";
}
async function getCategoryFromAI(title, description, goodreadsShelf) {
const prompt = `Given the following book information, select the most appropriate category from this list: ${AVAILABLE_CATEGORIES.join(", ")}
Title: ${title}
Description: ${description}
Goodreads Shelf: ${goodreadsShelf}
Please respond with only the category name, nothing else.`;
switch (AI_MODEL) {
case 1: return await getCategoryFromChatGPT(prompt);
case 2: return await getCategoryFromMetaLlama(prompt);
case 3: return await getCategoryFromGoogleGemini(prompt, false);
case 4: return await getCategoryFromMistralAI(prompt);
case 5: return await getCategoryFromGoogleGemini(prompt, true);
case 6: return await getCategoryFromAnthropicClaude(prompt);
default:
// Fallback to direct mapping if AI fails or is not configured
return GOODREADS_TO_MAM_CATEGORY_MAP[goodreadsShelf] || "Ebooks - Fiction";
}
}
async function getMAMCategory(title, description, goodreadsShelf) {
switch (CATEGORY_SELECTION_METHOD) {
case 1: // Direct mapping
return GOODREADS_TO_MAM_CATEGORY_MAP[goodreadsShelf] || "";
case 2: // Scoring method
return smartCategoryMatcher(goodreadsShelf, title, description);
case 3: // AI-based selection
return await getCategoryFromAI(title, description, goodreadsShelf);
default:
return "";
}
}
async function getCategoryFromChatGPT(prompt) {
if (!CHATGPT_API_KEY) return null;
const response = await fetch("https://api.openai.com/v1/chat/completions", {
method: "POST",
headers: {
"Content-Type": "application/json",
"Authorization": `Bearer ${CHATGPT_API_KEY}`
},
body: JSON.stringify({
model: "gpt-3.5-turbo",
messages: [{ role: "user", content: prompt }],
temperature: 0.7,
max_tokens: 50
})
});
const data = await response.json();
return data.choices[0].message.content.trim();
}
async function getCategoryFromMetaLlama(prompt) {
if (!META_API_KEY) return null;
const response = await fetch("https://api.meta.com/v1/text/completions", {
method: "POST",
headers: {
"Content-Type": "application/json",
"Authorization": `Bearer ${META_API_KEY}`
},
body: JSON.stringify({
model: "llama-2-13b-chat",
prompt: prompt,
max_tokens: 50
})
});
const data = await response.json();
return data.choices[0].text.trim();
}
async function getCategoryFromGoogleGemini(prompt, isLargeModel) {
if (!GOOGLE_API_KEY) return null;
const model = isLargeModel ? "gemini-1.5-flash-1m" : "gemini-1.5-flash";
const response = await fetch(`https://generativelanguage.googleapis.com/v1beta/models/${model}:generateContent?key=${GOOGLE_API_KEY}`, {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({
contents: [{ parts: [{ text: prompt }] }]
})
});
const data = await response.json();
return data.candidates[0].content.parts[0].text.trim();
}
async function getCategoryFromMistralAI(prompt) {
if (!MISTRAL_API_KEY) return null;
const response = await fetch("https://api.mistral.ai/v1/chat/completions", {
method: "POST",
headers: {
"Content-Type": "application/json",
"Authorization": `Bearer ${MISTRAL_API_KEY}`
},
body: JSON.stringify({
model: "mistral-large-latest",
messages: [{ role: "user", content: prompt }],
max_tokens: 50
})
});
const data = await response.json();
return data.choices[0].message.content.trim();
}
async function getCategoryFromAnthropicClaude(prompt) {
if (!ANTHROPIC_API_KEY) return null;
const response = await fetch("https://api.anthropic.com/v1/messages", {
method: "POST",
headers: {
"Content-Type": "application/json",
"x-api-key": ANTHROPIC_API_KEY
},
body: JSON.stringify({
model: "claude-3-haiku-20240307",
max_tokens: 50,
messages: [{ role: "user", content: prompt }]
})
});
const data = await response.json();
return data.content[0].text.trim();
}
function smartCategoryMatcher(goodreadsShelf, title, description) {
let scores = {};
AVAILABLE_CATEGORIES.forEach(category => {
scores[category] = 0;
// Check title
if (title.toLowerCase().includes(category.toLowerCase().replace("Ebooks - ", ""))) {
scores[category] += 2;
}
// Check description
if (description.toLowerCase().includes(category.toLowerCase().replace("Ebooks - ", ""))) {
scores[category] += 1;
}
// Check Goodreads shelf match
if (GOODREADS_TO_MAM_CATEGORY_MAP[goodreadsShelf] === category) {
scores[category] += 3;
}
});
return Object.entries(scores).reduce((a, b) => b[1] > a[1] ? b : a)[0];
}
async function generateJson() {
try {
showOverlay();
const title = getTitle();
const authors = getAuthors();
const description = getDescription();
const thumbnail = getThumbnail();
const isbn = getISBN();
const language = getLanguage();
const tags = getTags();
const seriesInfo = getSeriesInfo();
// Get the first shelf as category
const shelfElement = document.querySelector('.BookPageMetadataSection__genres a');
const goodreadsShelf = shelfElement ? shelfElement.textContent.trim() : "";
const mamCategory = await getMAMCategory(title, description, goodreadsShelf);
const json = {
"authors": authors,
"description": description,
"tags": tags,
"thumbnail": thumbnail,
"title": title,
"language": language,
"series": seriesInfo,
"category": mamCategory,
"isbn": isbn
};
await navigator.clipboard.writeText(JSON.stringify(json, null, 2));
console.log('Copied to clipboard successfully!');
window.open("https://www.myanonamouse.net/tor/upload.php", "_blank");
} catch (error) {
console.error('Error generating JSON:', error);
} finally {
hideOverlay();
}
}
function addButtonAndLogo() {
const isAISelected = CATEGORY_SELECTION_METHOD === 3 && AI_MODEL !== 0;
const buttonText = isAISelected ? "Copy Book info to JSON with AI" : "Copy Book info to JSON";
let container = document.createElement("div");
container.innerHTML = `
<div id="metadataButtonContainer" style="position:fixed;bottom:10px;right:10px;z-index:9999;display:flex;align-items:center;">
<div style="width:30px;height:30px;margin-right:10px;background-color:#027A48;border-radius:5px;padding:5px;">${svgLogo}</div>
<button id="copyMetadataButton" style="padding:10px;background-color:#027A48;color:white;border:none;border-radius:5px;font-size:14px;cursor:pointer;transition:background-color 0.2s;">
${buttonText}
</button>
</div>`;
document.body.appendChild(container);
// Add hover effect
const button = document.getElementById("copyMetadataButton");
button.addEventListener("mouseover", function() {
this.style.backgroundColor = "#025C36";
});
button.addEventListener("mouseout", function() {
this.style.backgroundColor = "#027A48";
});
// Add click handler
button.addEventListener("click", async function(event) {
event.preventDefault();
await generateJson();
});
}
function main() {
// Only run on book pages
if (window.location.pathname.includes('/book/show/')) {
console.log("Goodreads Book Metadata script is running on a book page.");
addButtonAndLogo();
} else {
console.log("Not a book page. Goodreads Book Metadata script will not run.");
}
}
// Run the script
if (document.readyState === "complete" || document.readyState === "interactive") {
setTimeout(main, 1000); // Delay execution by 1 second
} else {
window.addEventListener("DOMContentLoaded", function() {
setTimeout(main, 1000); // Delay execution by 1 second
});
}
})();