AlloCiné Movies Scraper (France: now playing & coming soon)

Get the movies showing in French cinemas from AlloCiné, France's reference movie site, as clean structured data.

At a glance

What you get	Movies now playing and coming soon in French cinemas, from AlloCiné: title, press and audience ratings, genres, cast, synopsis, poster and release date.
Price	$2.00 per 1,000 movies: a 50-movie test run costs about $0.11, start fee included.
Speed	50 movies in about 15 seconds. No login, no proxy, no browser to configure.
Try it	Click Try for free: the form is already filled with the "now playing" list, 50 movies.
Keep it fresh	Schedule it daily and keep only the new movies: see "Monitor new movies daily" below.

What you can do with it

• Track the box-office line-up: every movie now playing, with its number of showtimes across France.
• Compare reception: press and audience ratings side by side.
• Plan content and marketing: this week's releases and the most awaited upcoming movies.
• Feed apps and newsletters: synopsis, cast, director, genres and poster for each movie.

Input

Field	What it does
Which movies	now-playing, this-week (releases of the week) or coming-soon (most awaited).
Maximum number of movies	The run stops once this many movies are saved.

Output

One record per movie:

{
  "id": "327941",
  "url": "https://www.allocine.fr/film/fichefilm_gen_cfilm=327941.html",
  "title": "La Vie d'une femme",
  "releaseDate": "2026-09-09",
  "durationMinutes": 98,
  "genres": ["Comédie dramatique"],
  "directors": ["Charline Bourgeois-Tacquet"],
  "cast": ["Léa Drucker", "Mélanie Thierry", "Charles Berling"],
  "pressRating": 3.7,
  "audienceRating": 3.7,
  "showtimesCount": 1033,
  "synopsis": "Gabrielle se consacre corps et âme à son métier…",
  "posterUrl": "https://fr.web.img4.acsta.net/c_310_420/img/46/d4/46d4170eaca90b7bd1dae27db18ed739.jpg"
}

Ratings are out of 5. showtimesCount is the number of showtimes AlloCiné lists in France for the movie. Export the dataset as JSON, CSV or Excel, or read it through the Apify API.

Good to know

• Each page gives about 15 movies with full data: fast and cheap, no browser or proxy needed.
• Ratings and showtimes are empty when AlloCiné has none yet (for example for upcoming movies).

En français

Cet extracteur récupère les films à l'affiche et les prochaines sorties sur AlloCiné : titre, notes presse et spectateurs, genres, casting, synopsis, affiche et date de sortie, en JSON, CSV ou Excel. Utile pour un site ou une appli de cinéma, une newsletter des sorties de la semaine, ou une étude des notes et des genres. Aucun compte ni proxy nécessaire, seules les pages publiques sont lues.

Why this one

• Three lists in one actor. Movies now playing, this week's releases and the most awaited upcoming movies, chosen with a single input field.
• A box-office signal. showtimesCount is the number of screenings scheduled across France for each movie.
• Press and audience ratings side by side, with director, cast, genres, synopsis and poster in the same record.

Who uses it

• Apps, calendars and newsletters that list what is on, kept fresh by a scheduled run.
• Audience analysis: ratings, genres and screening counts over time.

Pricing

Pay per result: $2.00 per 1,000 movies, plus $0.01 per run start with the default 4 GB of memory. For example, 100 movies cost about $0.21. You only pay for the movies you receive, and platform usage is included in that price. Store discounts apply automatically on paid Apify plans: up to 20% off every event on the higher tiers.

Run it from your code

JavaScript:

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('bibian/allocine-movies-scraper').call({
  list: 'now-playing',
  maxItems: 50,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();

Python:

from apify_client import ApifyClient

client = ApifyClient(token="<APIFY_TOKEN>")
run = client.actor("bibian/allocine-movies-scraper").call(run_input={
    "list": "now-playing",
    "maxItems": 50
})
items = client.dataset(run["defaultDatasetId"]).list_items().items

Monitor new movies daily and connect your tools

1. Schedule it. Save a task for the list you follow (now-playing, this-week or coming-soon) and schedule it daily or weekly with Apify Schedules. Deduplicate on the id field if you keep your own copy. Tick Only new results in the input and each run returns, and charges, only the movies that earlier runs of the same search did not deliver.
2. Push the results where you work. Add an Apify integration or a webhook to the task: Google Sheets, Slack, Make, Zapier, n8n or your own endpoint, triggered at the end of every run.
3. Call it from your stack. The API and the JavaScript and Python clients return the dataset as JSON, CSV or Excel.
4. Let an AI agent use it. Through the Apify MCP server, assistants such as Claude or ChatGPT can search the Store, read this page and run the actor as a tool.

Prefer a plain REST API?

The same movies are available as a REST API on RapidAPI: one POST call returns the JSON, billing goes through the marketplace and no Apify account is needed.

Frequently asked questions

Do I need an account, cookies or a proxy for AlloCiné? No. The actor reads publicly visible pages only.

Which formats can I export? JSON, CSV, Excel, XML, HTML table or RSS, from the dataset page or through the API.

Is it legal to scrape? The actor collects publicly visible movie listings and respects the robots.txt rules of the site. How you use the data is your responsibility: check the site's terms and the laws that apply to you, for example the GDPR.

Need another list, a missing field or a new filter? Open an issue in the Issues tab and say what you need, with an example URL if you have one. Requests are read, and the most asked ones are built next.

Something does not work? Open an issue in the Issues tab. Every public actor is test-run daily and the broken ones are repaired.

Did this save you time? A short review on the Store page helps other people find the actor, and tells me what to improve next.

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