Getting structured data from IMDb has always been tricky. There's no official public API, the HTML is dense, and rate limits hit hard. But in 2026, several Apify actors make it surprisingly easy to extract movie data, ratings, cast info, and more.
I tested the top IMDb scrapers on Apify Store so you don't have to. Here's how they compare.
Why Scrape IMDb?
IMDb holds data on 10M+ titles — movies, TV shows, video games, documentaries. Developers scrape it for:
- Movie database apps — build your own Letterboxd or watchlist tool
- Rating aggregators — combine IMDb, Rotten Tomatoes, and Metacritic scores
- Research & analytics — genre trends, box office patterns, actor career trajectories
- Content recommendation engines — feed ML models with structured movie metadata
The challenge? IMDb doesn't offer a free API (their datasets are limited TSV dumps). Scrapers fill that gap.
The Contenders
| Actor | Author | Users | Runs | Key Strength |
|---|---|---|---|---|
| IMDb Scraper | cryptosignals | New | — | JSON-LD + NEXT_DATA parsing, 4 modes |
| IMDb Scraper | dtrungtin | 848 | 10.8K | Established, reliable |
| IMDb Advanced Scraper | epctex | 270 | 72K | Heavy-duty, episode-level detail |
| IMDb | canadesk | 47 | 4.6K | Lightweight, low cost |
| IMDb Info Extractor | coder_zoro | 96 | 217 | Charts + reviews + details |
Deep Dive: What Sets Each Apart
cryptosignals/imdb-scraper — The Modern Approach
This is the newest entry and takes a fundamentally different approach to parsing. Instead of fighting IMDb's messy HTML, it extracts data from JSON-LD structured data and Next.js hydration payloads (__NEXT_DATA__). This matters because:
- JSON-LD is a stable, schema.org-backed format — less likely to break on layout changes
-
__NEXT_DATA__contains the full server-rendered payload, giving you richer data than DOM scraping - No API key or authentication needed
It supports 4 modes: search (keyword queries), movie (individual title details), person (actor/director profiles), and trending (what's popular now). The trending mode is unique — most competitors don't expose IMDb's trending data at all.
Best for: Developers who want clean, structured JSON without worrying about parser breakage.
dtrungtin/imdb-scraper — The Established Standard
With 848 users and 10,800+ runs since 2019, this is the default choice for most people. It's battle-tested and handles movies, TV shows, and video games. The output format is well-documented and consistent.
The downside? It relies on traditional HTML parsing, which means it can break when IMDb updates their frontend (and they do, frequently).
Best for: Users who want proven reliability and don't mind occasional maintenance windows.
epctex/imdb-advanced-scraper — The Power User Tool
72,000 runs tells a story — this actor gets heavy automated usage. It goes deeper than others with TV episode-level details, full cast/crew data, and custom filtering. If you need granular data (every episode of every season of a show), this is your tool.
Best for: Data pipelines that need comprehensive, granular entertainment data.
canadesk/imdb — Quick and Cheap
Positioned as "fast and costs little," this is the no-frills option. Search results plus basic title and celebrity data. Won't give you deep metadata, but if you just need titles, years, and ratings in bulk, it's efficient.
Best for: Simple lookups and bulk title searches.
coder_zoro's Suite — Specialized Actors
Rather than one do-everything actor, coder_zoro offers 5 separate actors for reviews, movie details, person details, search, and charts. The modular approach means you only run (and pay for) what you need. But managing 5 separate actors adds complexity.
Best for: Users who only need one specific data type (e.g., reviews only).
Handling Proxies and Rate Limits
IMDb aggressively rate-limits scrapers. All these actors use Apify's built-in proxy infrastructure, but if you're building your own scraper or need additional proxy rotation, services like ScraperAPI handle IP rotation, CAPTCHA solving, and header management automatically. It's especially useful if you're scraping IMDb outside of Apify.
Which One Should You Pick?
Starting a new project? Try cryptosignals/imdb-scraper — the JSON-LD parsing approach is more resilient to HTML changes, and the 4-mode design (search/movie/person/trending) covers most use cases in one actor.
Need proven track record? Go with dtrungtin's actor. 848 users over 5+ years speaks for itself.
Need episode-level TV data? epctex's advanced scraper is the only one that goes that deep.
Just need basic lookups? canadesk keeps it simple and cheap.
Quick Start Example
Using the Apify API with cryptosignals/imdb-scraper:
from apify_client import ApifyClient
client = ApifyClient('YOUR_APIFY_TOKEN')
run = client.actor('yxHWjUSMIfkZj1noy').call(run_input={
'mode': 'search',
'query': 'inception',
'maxResults': 5
})
for item in client.dataset(run['defaultDatasetId']).iterate_items():
print(f"{item['title']} ({item.get('year', 'N/A')}) - Rating: {item.get('rating', 'N/A')}")
All actors are free to try on Apify's free tier. Pick the one that fits your data needs, and start building.
Have you built anything cool with IMDb data? Drop a comment — I'd love to see what people are building.
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