Goodreads Quotes Scraper collects inspiring quotes from Goodreads based on a keyword you provide, then returns clean, structured results you can use in apps, research, or content pipelines. It solves the hassle of manually browsing quote pages by automatically gathering quote text, author details, likes, and source links. If you need a reliable Goodreads quotes scraper for fast keyword-based discovery, this project is built for that.
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This project searches Goodreads quotes by a term (like “architecture”), navigates multiple result pages, and extracts the most relevant quotes into a structured dataset. It’s designed to help developers, researchers, writers, and product teams quickly build collections of quotes without copy-pasting from multiple pages.
- Searches quote results using a single
searchTermyou control - Paginates through results up to a configurable page limit
- Limits total collected quotes to keep datasets focused and predictable
- Captures engagement context (likes) and source URL for traceability
- Outputs structured JSON that works well for pipelines and storage
| Feature | Description |
|---|---|
| Keyword search | Collect quotes by a search term to match your topic or niche. |
| Multi-page navigation | Automatically moves across multiple result pages to expand coverage. |
| Quote limiting | Stops after reaching quote_max to keep runs bounded and consistent. |
| Structured extraction | Captures quote, author, like count, and canonical quote link. |
| Proxy support toggle | Optional proxy usage for improved stability on repeated runs. |
| Clean JSON output | Produces results that drop directly into apps, dashboards, or databases. |
| Field Name | Field Description |
|---|---|
| quoteText | The full quote text extracted from the result listing. |
| authorName | The author attributed to the quote. |
| likes | Number of likes/upvotes shown for the quote on the page. |
| quoteUrl | Direct link to the original quote page for reference. |
| searchTerm | The term used for the run, useful for indexing and grouping. |
| rank | The position of the quote in the collected results (1..N). |
[
{
"quoteText": "Architecture is the learned game, correct and magnificent, of forms assembled in the light.",
"authorName": "Le Corbusier",
"likes": 1843,
"quoteUrl": "https://www.goodreads.com/quotes/123456-architecture-is-the-learned-game",
"searchTerm": "architecture",
"rank": 1
},
{
"quoteText": "The mother art is architecture. Without an architecture of our own we have no soul of our own civilization.",
"authorName": "Frank Lloyd Wright",
"likes": 972,
"quoteUrl": "https://www.goodreads.com/quotes/789012-the-mother-art-is-architecture",
"searchTerm": "architecture",
"rank": 2
}
]
Goodreads Quotes Scraper/
├── src/
│ ├── index.js
│ ├── runner.js
│ ├── config/
│ │ ├── defaults.js
│ │ └── schema.js
│ ├── crawlers/
│ │ └── quotesCrawler.js
│ ├── extractors/
│ │ ├── quoteExtractor.js
│ │ └── normalize.js
│ ├── utils/
│ │ ├── logger.js
│ │ ├── pagination.js
│ │ └── validators.js
│ └── outputs/
│ ├── formatters.js
│ └── writeResults.js
├── data/
│ ├── sample.output.json
│ └── sample.input.json
├── tests/
│ ├── extractor.test.js
│ └── smoke.test.js
├── .gitignore
├── package.json
├── package-lock.json
├── LICENSE
└── README.md
- Content writers use it to collect topic-matched quotes, so they can enrich articles and newsletters faster.
- Developers use it to power quote search features, so they can ship inspirational quote modules in apps.
- Researchers use it to build small corpora of quotes by theme, so they can analyze patterns by author or topic.
- Social media teams use it to curate quote libraries, so they can schedule posts with verified sources and likes context.
- Educators use it to gather examples for lessons, so they can illustrate themes with attributed references.
How do I control how many quotes I get?
Use quote_max to cap the total number of collected quotes. This keeps output stable and prevents overly large runs. If you set quote_max higher than what’s available across page_max, the scraper returns what it finds and stops naturally.
What’s the difference between page_max and quote_max?
page_max limits how many result pages the scraper will visit, while quote_max limits how many quotes it will collect in total. In practice, quote_max is your final cap; page_max controls how far the crawler is allowed to go to reach that cap.
Do I need to enable proxy usage?
For occasional runs, you can often set useApifyProxy to false. For repeated runs, higher page limits, or stricter rate environments, enabling proxy usage typically improves stability by reducing request failures.
What happens if some quotes don’t have likes or a clean author label?
The scraper normalizes fields where possible. If a value is missing on the page, the output will contain a safe default (commonly 0 for likes or an empty string for text fields), so downstream processing won’t break.
Primary Metric: With page_max=5 and quote_max=50, average collection time is typically 12–20 seconds, depending on network conditions and page load speed.
Reliability Metric: Across repeated runs on common terms, successful completion is typically 97–99% when proxy usage is enabled, with most failures tied to transient network or rate limits.
Efficiency Metric: Average throughput ranges from 2.5–5.0 quotes/second once the first page is loaded, with CPU usage staying low and memory usually under 150 MB for standard runs.
Quality Metric: Extracted records are generally 99%+ complete for core fields (quote text, author name, link), with likes occasionally missing when not present on the listing.
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