# Goodreads Book Rating Momentum by URL (`jpmarketdata/goodreads-book-momentum-brief`) Actor

Check public Goodreads book rating and review counts for exact book URLs, with signed changes against optional caller supplied counts. No reviews or reader profiles. Unofficial.

- **URL**: https://apify.com/jpmarketdata/goodreads-book-momentum-brief.md
- **Developed by:** [h ichi](https://apify.com/jpmarketdata) (community)
- **Categories:** E-commerce, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$10.00 / 1,000 book momentum brief createds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Goodreads Book Rating Momentum by URL

> **Unofficial** — independent tool, **not affiliated with, endorsed by, or sponsored by Goodreads**. It reads only publicly visible pages. Support, reliability guarantees and the full disclaimer are at the bottom of this page.

For a known Goodreads book page, return its current public average rating and rating/review counts. Provide your own earlier counts to get signed changes ready for a publisher or retailer monitoring decision. A single snapshot makes no trend claim.

### Input

Supply one to three exact HTTPS `www.goodreads.com/book/show/<id>` page URLs in `bookUrls`. Optional `previousRatingCounts` and `previousReviewCounts` map those exact URLs to nonnegative integer baselines. No search keywords, arbitrary URLs, or review pages. Input order is preserved and duplicate URLs collapse. The default contains two known books. Goodreads may canonicalize an older edition URL to a newer book ID; `bookId` always names the validated canonical page.

### Output

One decision row per validated book. `ratingCountDelta` and `reviewCountDelta` are current minus supplied prior count and appear only for a supplied baseline. A negative delta can reflect source revisions; it is not a claim that readers removed ratings. No elapsed time or trend direction is invented. Example counts are illustrative and change at source.

### Limits

The Actor rechecks `robots.txt` at each run, allows only `/book/show/` pages, requests at most three books sequentially with two seconds between pages, and caps each response at 10 MiB and 30 seconds. It uses no proxy, browser, API key or paid data source. A 202/challenge, 403, 429, 404, redirect, timeout, oversized or malformed page fails explicitly. All selected pages are validated before any result delivery. The default memory is 256 MB.

### Privacy

Only the book title, numeric public rating/counts, optional caller baseline deltas, book IDs and provenance are returned. Review prose, reviewer identity, profile data, shelves, author biography, HTML and cookies are never exported.

### Pricing

One primary `book-momentum-created` paid event at $0.01 for each delivered decision row. No start or secondary charge. At most three rows cost $0.03; invalid input or source failure before delivery has no paid row.

Goodreads terms and current source access limits are documented in the dated scout under DR-0007.

### If something goes wrong

- **Wrong number or a failed run?** Open a ticket on the **Issues** tab. I read every one and reply within 2 business days (Japan time).
- **You never get a fake "empty" result.** If the site can't be read, the run fails and says so.
  One validated book rating/count decision row delivered is one billable event. A source failure before delivery produces no paid row; earlier delivered rows remain billable after a later write failure.
- **Checked every week.** An automatic test runs this tool weekly; if the site changes, I fix it.
- **Public pages only.** No login, no personal data, and it goes easy on the site.

### More tools by the same author

- [Mercari Japan Sold Prices — What Items Really Sell For](https://apify.com/jpmarketdata/mercari-japan-price-checker)
- [Yahoo! Auctions Japan Sold Prices — Median, Range, Bids](https://apify.com/jpmarketdata/yahoo-auction-sold-comps)

All tools (Japan marketplaces, real estate, jobs, racing, prediction markets): <https://apify.com/jpmarketdata>

### Disclaimer

Unofficial, independent tool — **not affiliated with, endorsed by, or sponsored by Goodreads**. Product names and logos belong to their owners and only say where the data comes from. Data is read from public pages, for market research; check before you act on it.

# Actor input Schema

## `bookUrls` (type: `array`):

One to three public HTTPS Goodreads /book/show/<id> URLs. No search or review pages.

## `previousRatingCounts` (type: `object`):

JSON object keyed by an input URL with a previous nonnegative rating count. Missing URLs have no rating-count change claim.

## `previousReviewCounts` (type: `object`):

JSON object keyed by an input URL with a previous nonnegative review count. Missing URLs have no review-count change claim.

## Actor input object example

```json
{
  "bookUrls": [
    "https://www.goodreads.com/book/show/4671.The_Great_Gatsby",
    "https://www.goodreads.com/book/show/1885.Pride_and_Prejudice"
  ],
  "previousRatingCounts": {},
  "previousReviewCounts": {}
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "bookUrls": [
        "https://www.goodreads.com/book/show/4671.The_Great_Gatsby",
        "https://www.goodreads.com/book/show/1885.Pride_and_Prejudice"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("jpmarketdata/goodreads-book-momentum-brief").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "bookUrls": [
        "https://www.goodreads.com/book/show/4671.The_Great_Gatsby",
        "https://www.goodreads.com/book/show/1885.Pride_and_Prejudice",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("jpmarketdata/goodreads-book-momentum-brief").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "bookUrls": [
    "https://www.goodreads.com/book/show/4671.The_Great_Gatsby",
    "https://www.goodreads.com/book/show/1885.Pride_and_Prejudice"
  ]
}' |
apify call jpmarketdata/goodreads-book-momentum-brief --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,jpmarketdata/goodreads-book-momentum-brief"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/RTpIxJrh6bd5FyJ3P/builds/vlWex7hscCJkY5LLd/openapi.json