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Goodreads Scraper API

Turn any Goodreads book or author page into JSON: the average star rating, ratings and reviews counts, editions and ISBNs, reader reviews, and author bibliographies.

Titles & profilesRatings & reviewsCharts & rankingsCatalog data
▸ Overview

Goodreads is the largest community for readers, pairing book metadata with millions of star ratings and written reviews across editions. The Goodreads Scraper API resolves book pages, author profiles, and review streams into validated JSON with average ratings, ISBNs, publication details, and review text.

It serves publishing analytics and reading-recommendation tools that need reader sentiment and bibliographic data together. Average ratings resolve at request time and reader reviews paginate fully across each edition.

Goodreads Scraper API · request
# POST a target — get validated JSON back
curl https://api.crawlzo.com/v4/scrape \
  -H "Authorization: Bearer $CRAWLZO_KEY" \
  -d '{
  "url": "https://www.goodreads.com/",
  "type": "title",
  "geo": "us"
  }'

// ← response
{
  "status": "ok",
  "data": {
    "title": "...",
    "year": 2024,
    "rating": 8.4,
    "votes": 184220,
    "genres": ["Drama"],
    "runtime_min": 128
  }
}
"type": "title", "geo": "us"
▸ What you can extract

Every public field, structured for you.

Goodreads data parsed into clean, validated JSON. Pull any group below on its own, or combine them in a single request.

Title / profile details

  • Title / name, type, year, summary
  • Genres, language, runtime / length
  • Poster / cover and media
  • External IDs and links

Ratings & reviews

  • Aggregate rating and vote count
  • Critic vs. audience scores
  • Review text, author, date
  • Full review pagination

Credits / tracklist

  • Cast, crew, or artist credits
  • Roles, episodes, or tracks
  • Related titles and recommendations

Charts & rankings

  • Top / trending / popular charts
  • Rank by category and region
  • Rank history over time

Search results

  • Ranked titles per query
  • Genre, year, type filters
  • Pagination across result pages
▸ Built on the Crawlzo engine

The hard parts, already solved.

▸ What teams build with it

Common use cases.

[ 01 ]

Publishing and title-performance analytics

[ 02 ]

Reader sentiment and review mining

[ 03 ]

Author bibliography and edition mapping

[ 04 ]

Book recommendation and discovery models

▸ FAQ

Goodreads scraping, answered.

Structured JSON straight from the API, or pushed to your stack natively — S3, BigQuery, Snowflake, Postgres, Kafka, or any HTTPS webhook. Call it from Python, Node, Go, Rust, or any HTTP client. The data lands where your pipeline already lives.

No. You pay for valid, schema-passing rows only. Retries, blocks, CAPTCHAs, and 5xxs are on us. If a run doesn't return data that conforms to the schema, it isn't billed.

Every request routes through the same engine behind our Web Unblocker API: compliant residential IPs, real browser fingerprints, TLS-level evasion, behaviour modelling, and built-in CAPTCHA solving. Hard targets become routine.

Yes. We respect robots policies, rate budgets, and ToS-aware allow/deny lists. We deliver and move on — no row-level retention beyond your replay window. GDPR DPA, PII redaction, and custom data residency available on request.

GOODREADS DATA · ON TAP

Start pulling Goodreads data this week.

Tell us the Goodreads surface you need and the shape you want it in. We'll come back in 24 hours with a sampled output, a scoped plan, and a price. Pilot in week one.

Pay only for data delivered99.99% uptime SLA99% success rate100M+ proxies