IMDB Movies/Titles Scraper 🎞️📺 - Faster & Cheaper

IMDB Movies/Titles Scraper 🎞️📺 - Faster & Cheaper

by scrapestorm

Scrape IMDb for movies and TV shows by keyword. Get titles, years, posters, cast, and links fast and affordably, perfect for research, catalogs, or building databases.

193 runs
6 users
Try This Actor

Opens on Apify.com

About IMDB Movies/Titles Scraper 🎞️📺 - Faster & Cheaper

Need to pull movie and TV data from IMDb without the headache? I built this scraper because I got tired of manual searches and expensive APIs. It lets you search by keyword and get back a clean dataset with exactly what you need: titles, release years, poster image URLs, full cast lists, and direct links to each title's IMDb page. It runs fast and keeps costs low, which is perfect when you're working on a project with a budget. I use it for a few things regularly. If I'm researching a genre for a blog or building a personal film database, it saves hours. Media analysts can pull catalogs for competitive research, and developers can feed this structured data into their own apps or websites. The data comes back ready to use in a spreadsheet or JSON, so you can start working with it immediately instead of cleaning it up. It’s straightforward—you give it a search term, and it handles the rest. No complex setup. For anyone who loves film or works with entertainment data, this tool turns a tedious task into a simple, automated process.

What does this actor do?

IMDB Movies/Titles Scraper 🎞️📺 - Faster & Cheaper is a web scraping and automation tool available on the Apify platform. It's designed to help you extract data and automate tasks efficiently in the cloud.

Key Features

  • Cloud-based execution - no local setup required
  • Scalable infrastructure for large-scale operations
  • API access for integration with your applications
  • Built-in proxy rotation and anti-blocking measures
  • Scheduled runs and webhooks for automation

How to Use

  1. Click "Try This Actor" to open it on Apify
  2. Create a free Apify account if you don't have one
  3. Configure the input parameters as needed
  4. Run the actor and download your results

Documentation

IMDb Movies/Titles Scraper

Overview

This Apify actor scrapes structured data for movies and TV shows from IMDb based on a search keyword. It returns detailed information for cataloging, research, or content discovery.

Key Features

  • Fast & Efficient: Quickly collects data from IMDb search results.
  • Structured Output: Returns clean, organized data for each title.
  • Flexible Export: Supports JSON, CSV, Excel, and HTML formats.
  • Subscription Model: Priced at $19.49/month.

How to Use

  1. Set Input: Provide a search keyword and a maxitems value to limit results.
  2. Run the Actor: Start the scraper. It will search IMDb and collect data for up to the specified number of relevant titles.
  3. Get Results: Once finished, download your dataset in your preferred format from the actor's output.

Input/Output

Input Parameters:
* keyword (String): The search term (e.g., "sci-fi 2023").
* maxitems (Number): Maximum number of titles to return.

Output Data (per title):
* Core Identifiers: IMDb ID, direct Movie Link, Title, Original Title.
* Media Info: Poster Image URL, Image Dimensions, Image Caption.
* Classification: Type (movie/series), Displayable Type, Can Have Episodes (boolean).
* Release Details: Release Year, End Year, Status (e.g., PUBLISHED).
* Cast: Main Actors list.

Use Cases

  • Film Cataloging: Automatically build structured movie/TV databases.
  • Content Discovery: Find titles relevant to specific themes or keywords.
  • Market Research: Analyze trends in casting, release years, and genres.
  • App Enrichment: Populate media platforms with verified IMDb data.

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Ready to Get Started?

Try IMDB Movies/Titles Scraper 🎞️📺 - Faster & Cheaper now on Apify. Free tier available with no credit card required.

Start Free Trial

Actor Information

Developer
scrapestorm
Pricing
Paid
Total Runs
193
Active Users
6
Apify Platform

Apify provides a cloud platform for web scraping, data extraction, and automation. Build and run web scrapers in the cloud.

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