--- title: "IMDb Image Scraper" slug: image date: 2026-09-24T09:28:06+00:00 modified: 2026-10-07T18:17:34+00:00 permalink: https://brightdata.com/products/web-scraper/imdb/image type: company --- [![4.6 out of five star rating on Trustpilot](https://brightdata.com/wp-content/themes/brightdata/assets/images/social/tp_short_dark.svg?ver=16052024)](https://www.trustpilot.com/review/brightdata.com "4.6 out of five star rating on Trustpilot")[![4.7 out of 5 stars rating on G2](https://brightdata.com/wp-content/themes/brightdata/assets/images/social/g2_short_dark.svg?ver=16052024)](https://www.g2.com/products/bright-data/reviews "4.7 out of 5 stars rating on G2")[![4.8 out of 5 stars rating on Capterra](https://brightdata.com/wp-content/themes/brightdata/assets/images/social/capterra_short_dark.svg?ver=16052024)](https://www.capterra.com/p/208755/Bright-Data "4.8 out of 5 stars rating on Capterra") # IMDb Image Scraper API Scrape IMDb title photos and collect data such as: photos, poster URL, title ID, title, genres, top cast, release date, IMDb rating, and more. Contact salesStart free 5K free records/month · Credit card not required **## Trusted by 50,000+ customers worldwide** [Top Scrapers](#datasets_new) [Pricing](#anc_pricing) [Code examples](#anc_examples) [AI Agents](#anc_ai) [Compliance](#anc_compliance) [FAQs](#anc_faq) Start free ## Available IMDb scrapers Pick an IMDb scraper and call it. Every IMDb Image scraper lists its output fields, delivery volume, and live success rate. ### IMDB media Title, Popularity, Genres, Presentation, Credit, Videos, Photos, Top cast, and more. 3.6K+ 209+ Start free AI Scraper Studio Generate a scraper API for your domain using AI [Start now](/cp/data_collector/collectors/create?camp=plg) ### Explore thousands of production-ready scrapers Pay only for successful results, no surprises – Proxies, unlocking, browsers and retries are built in. Start free ### \#1 Ranked (by AIMultiple) ### 99.2% Avg. success rate ### 100M+ Requests weekly ### 400M+ Proxy IPs built in ### GDPR & CCPA Compliant Pricing ## IMDb Image Scraper API Pricing ## Only pay for what’s successfully delivered. No hidden fees, no charges for failed deliveries. Get 25% off on Scraper API for 3 months. Use code APIS25 at checkout. Start now CALCULATE YOUR COST Records per month: **5K** $/mo $ per 1,000 records Your whole bill. Proxies, unblocking, parsing included. Get started 5K 10K 50K 100K 500K 1M 5M - Pay only for success, no hidden fees - Start free with 5,000 monthly credits - No upfront commitment, cancel anytime - 24/7 expert support and enterprise features Free Tier 5K records Start free - 5K records per month - No credit card required - Expert support Pay as you go $1.5/1K record Start free - Pay only for success - Set monthly spend limits - Unlimited concurrency - Expert support Scale $499 /month Start free - 384,000 records included - $1.3/1K additional records - Unlimited concurrency - Cancel anytime - Expert support Enterprise Custom Talk to sales - Volume discounts - Account manager - Premium SLA - Priority support - SSO Comparing scraping platforms? See what others charge extra for Most platforms stack extra charges on top of the per-record rate. With Bright Data, the record price is the whole bill: Compute / runtime units commonly billed per scraper runtime hour or compute unit Included Residential proxy bandwidth commonly billed per GB Included Storage & dataset retention commonly billed per GB-month Included Data transfer / egress commonly billed per GB out Included Unblocking & CAPTCHA solving commonly a paid add-on Included Parsing to structured JSON commonly your own code Included We accept these payment methods: ### Just want data? Skip scraping. Purchase a [ IMDb Image dataset](https://brightdata.com/products/datasets/image) How it works ## From zero to IMDb Image data in 3 steps No proxies to configure, no infrastructure to manage. Pick, call, and receive. 1. ### Pick a scraper Choose from the IMDb Image scrapers above or create your own with AI in minutes. 2. ### Call the API One API call with up to 5,000 target URLs. Python and Node.js SDKs, CLI, MCP server, or any HTTP client. 3. ### Get structured data Receive clean, parsed IMDb Image data in JSON, NDJSON, or CSV. Delivered via API, webhook, or cloud storage. Media Scraper API Call cURL Python Node.js ``` curl -H "Authorization: Bearer API_TOKEN" -H "Content-Type: application/json" -d '[{"url":"https://www.imdb.com/title/tt10872600/","comment":"Feature Film"},{"comment":"Feature Film","url":"https://www.imdb.com/title/tt6334354/"},{"comment":"Feature Film","url":"https://www.imdb.com/title/tt9032400/"},{"comment":"Feature Film","url":"https://www.imdb.com/title/tt9243804/"},{"comment":"Feature Film","url":"https://www.imdb.com/title/tt10696896/"}]' "https://api.brightdata.com/datasets/v3/trigger?dataset_id=gd_l1vikf2h1a4t6x8qzu&format=json&uncompressed_webhook=true" ``` ``` import requests import json headers = { "Authorization": "Bearer API_TOKEN", "Content-Type": "application/json", } payload = [{"url":"https://www.imdb.com/title/tt10872600/","comment":"Feature Film"},{"comment":"Feature Film","url":"https://www.imdb.com/title/tt6334354/"},{"comment":"Feature Film","url":"https://www.imdb.com/title/tt9032400/"},{"comment":"Feature Film","url":"https://www.imdb.com/title/tt9243804/"},{"comment":"Feature Film","url":"https://www.imdb.com/title/tt10696896/"}] response = requests.post( "https://api.brightdata.com/datasets/v3/trigger" "?dataset_id=gd_l1vikf2h1a4t6x8qzu&format=json&uncompressed_webhook=true", headers=headers, json=payload, ) print(response.json()) ``` ``` const response = await fetch( "https://api.brightdata.com/datasets/v3/trigger?dataset_id=gd_l1vikf2h1a4t6x8qzu&format=json&uncompressed_webhook=true", { method: "POST", headers: { "Authorization": "Bearer API_TOKEN", "Content-Type": "application/json", }, body: JSON.stringify([{"url":"https://www.imdb.com/title/tt10872600/","comment":"Feature Film"},{"comment":"Feature Film","url":"https://www.imdb.com/title/tt6334354/"},{"comment":"Feature Film","url":"https://www.imdb.com/title/tt9032400/"},{"comment":"Feature Film","url":"https://www.imdb.com/title/tt9243804/"},{"comment":"Feature Film","url":"https://www.imdb.com/title/tt10696896/"}]), } ); const data = await response.json(); console.log(data); ``` Response payload ``` [ { "timestamp": "2026-09-12", "title": "Winners and Losers", "popularity": null, "genres": [ "Animation", "Comedy", "Drama", "Sport" ], "presentation": "With the second match underway-this time between Karasuno and Dateko-Dateko\u0027s best tactic is their killer serves. Karasu...", "credit": [ { "names": [ { "link": "https:\/\/www.imdb.com\/name\/nm2172473\/", "name": "Shintarô Itoga" }, { "link": "https:\/\/www.imdb.com\/name\/nm4679096\/", "name": "Susumu Mitsunaka" } ], "title": "Directors" }, { "names": [ { "link": "https:\/\/www.imdb.com\/name\/nm4678539\/", "name": "Taku Kishimoto" } ], "title": "Writer" }, { "names": [ { "link": "https:\/\/www.imdb.com\/name\/nm4986852\/", "name": "Ayumu Murase" }, { "link": "https:\/\/www.imdb.com\/name\/nm5481013\/", "name": "Kaito Ishikawa" }, { "link": "https:\/\/www.imdb.com\/name\/nm2174227\/", "name": "Satoshi Hino" } ], "title": "Stars" } ], "videos": null, "photos": [ { "link": "https:\/\/www.imdb.com\/title\/tt4468300\/mediaviewer\/rm4011795456", "name": "Haikyuu!! (2014)" }, { "link": "https:\/\/www.imdb.com\/title\/tt4468300\/mediaviewer\/rm3750301441", "name": "Winners and Losers (2014)" }, { "link": "https:\/\/www.imdb.com\/title\/tt4468300\/mediaviewer\/rm768085761", "name": "Winners and Losers (2014)" } ] }, { "timestamp": "2026-09-12", "title": "Polar", "popularity": null, "genres": [ "Documentary" ], "presentation": "Step inside the most frigid habitats on Earth - the poles. Here, the planet\u0027s ultimate survivalists include whale-huntin...", "credit": [ { "names": [ { "link": "https:\/\/www.imdb.com\/name\/nm1348556\/", "name": "Steven Clarke" }, { "link": "https:\/\/www.imdb.com\/name\/nm7095399\/", "name": "Anthony Pyper" } ], "title": "Directors" }, { "names": [ { "link": "https:\/\/www.imdb.com\/name\/nm0276230\/", "name": "Ed Fields" } ], "title": "Writer" }, { "names": [ { "link": "https:\/\/www.imdb.com\/name\/nm2426012\/", "name": "Bear Grylls" } ], "title": "Stars" } ], "videos": null, "photos": null }, { "timestamp": "2026-09-12", "title": "Let Me Teach You a Lesson", "popularity": null, "genres": [ "Action", "Comedy", "Crime", "Drama" ], "presentation": "Sister Kim wins a game against Kwang Du and gets a thumb drive which has every detailed information regarding Rising Moo...", "credit": [ { "names": [ { "link": "https:\/\/www.imdb.com\/name\/nm4955171\/", "name": "Lee Myoung-woo" } ], "title": "Director" }, { "names": [ { "link": "https:\/\/www.imdb.com\/name\/nm6728876\/", "name": "Park Jae-beom" } ], "title": "Writer" }, { "names": [ { "link": "https:\/\/www.imdb.com\/name\/nm2339825\/", "name": "Kim Nam-gil" }, { "link": "https:\/\/www.imdb.com\/name\/nm5470717\/", "name": "Kim Sung Kyun" }, { "link": "https:\/\/www.imdb.com\/name\/nm2671586\/", "name": "Lee Hanee" } ], "title": "Stars" } ], "videos": null, "photos": [ { "link": "https:\/\/www.imdb.com\/title\/tt10176954\/mediaviewer\/rm330868737", "name": "Kim Min-jae in Let Me Teach You a Lesson (2019)" }, { "link": "https:\/\/www.imdb.com\/title\/tt10176954\/mediaviewer\/rm347645953", "name": "Kim Min-jae, Lee Hanee, and Kim Hyung-mook in Let Me Teach You a Lesson (2019)" }, { "link": "https:\/\/www.imdb.com\/title\/tt10176954\/mediaviewer\/rm381200385", "name": "Jung Young-joo and Go Joon in Let Me Teach You a Lesson (2019)" }, { "link": "https:\/\/www.imdb.com\/title\/tt10176954\/mediaviewer\/rm196651009", "name": "Jung Young-joo, Lee Hanee, Go Joon, and Kim Hyung-mook in Let Me Teach You a Lesson (2019)" }, { "link": "https:\/\/www.imdb.com\/title\/tt10176954\/mediaviewer\/rm246982657", "name": "Lee Hanee and Kim Hyung-mook in Let Me Teach You a Lesson (2019)" }, { "link": "https:\/\/www.imdb.com\/title\/tt10176954\/mediaviewer\/rm12101633", "name": "Kim Nam-gil and Jeon Sung-woo in Let Me Teach You a Lesson (2019)" }, { "link": "https:\/\/www.imdb.com\/title\/tt10176954\/mediaviewer\/rm95987713", "name": "Kim Nam-gil, Baek Ji-won, and Jeon Sung-woo in Let Me Teach You a Lesson (2019)" }, { "link": "https:\/\/www.imdb.com\/title\/tt10176954\/mediaviewer\/rm129542145", "name": "Let Me Teach You a Lesson (2019)" } ] }, { "timestamp": "2026-09-12", "title": "The Visitor", "popularity": null, "genres": [ "Adventure", "Drama", "Family" ], "presentation": "The boy the Millers receive in a 4H youth exchange program is unexpectedly Japanese which stirs post WWII prejudices for...", "credit": [ { "names": [ { "link": "https:\/\/www.imdb.com\/name\/nm0313884\/", "name": "Maurice Geraghty" } ], "title": "Director" }, { "names": [ { "link": "https:\/\/www.imdb.com\/name\/nm1600435\/", "name": "Claire Kennedy" }, { "link": "https:\/\/www.imdb.com\/name\/nm0460893\/", "name": "Eric Knight" }, { "link": "https:\/\/www.imdb.com\/name\/nm0733142\/", "name": "Thelma Robinson" } ], "title": "Writers" }, { "names": [ { "link": "https:\/\/www.imdb.com\/name\/nm0165715\/", "name": "Jan Clayton" }, { "link": "https:\/\/www.imdb.com\/name\/nm0720568\/", "name": "Tommy Rettig" }, { "link": "https:\/\/www.imdb.com\/name\/nm0166477\/", "name": "George Cleveland" } ], "title": "Stars" } ], "videos": null, "photos": null }, { "timestamp": "2026-09-12", "title": "Un-Cannes-y Ending", "popularity": null, "genres": [ "Reality-TV" ], "presentation": "After a disappointing shopping excursion in Cannes, Anya opens up to the women about her financial situation. Margaux ta...", "credit": [ { "names": [ { "link": "https:\/\/www.imdb.com\/name\/nm13955498\/", "name": "Anya Firestone" }, { "link": "https:\/\/www.imdb.com\/name\/nm13955499\/", "name": "Emily Gorelik" }, { "link": "https:\/\/www.imdb.com\/name\/nm13955500\/", "name": "Margaux Lignel" } ], "title": "Stars" } ], "videos": [ { "link": "https:\/\/www.imdb.com\/video\/vi2855912473", "name": "Real Girlfriends in Paris: Un-Cannes-y Ending" } ], "photos": [ { "link": "https:\/\/www.imdb.com\/title\/tt21996564\/mediaviewer\/rm2003894529", "name": "Un-Cannes-y Ending (2022)" } ] } ] ``` Start free TERMINAL Tell your agent: `Read https://brightdata.com/SKILL.md and get structured JSON for this IMDb title via the Web Scraper API (gd_l1vikf2h1a4t6x8qzu): https://www.imdb.com/title/tt10872600/` Or run it yourself: `curl -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d '[{"url":"https://www.imdb.com/title/tt10872600/","comment":"Feature Film"}]' "https://api.brightdata.com/datasets/v3/trigger?dataset_id=gd_l1vikf2h1a4t6x8qzu&format=json"` Or connect over MCP: `https://mcp.brightdata.com/mcp?token=YOUR_API_KEY` [ Get your token-filled URL in the control panel ](/cp/mcp) For coding Agents ### Plug IMDb scrapers into your agent Your agent picks from IMDb scrapers we already maintain. Let it run whenever you need, and every run delivers real-time web data straight to your storage. Works in Claude Code, Codex, Cursor and any other coding agent. - Runs with npx, nothing to install - bdata login opens browser auth, no key to paste - Name a scraper, get JSON back - Delivers to AWS · GCP · Azure · Snowflake · Webhook World's #1 scraping platform ## Everything you need, built in You pay for results. Proxies, rendering, concurrency, and delivery are always included, on every plan. ### Go straight to the source Every request runs on Bright Data infrastructure. 400M+ IPs, unlocking and browsers are built in. ### Scale to millions of pages instantly Send unlimited concurrent requests - no infrastructure to manage, no configs to change. ### Scrapers auto-fix when sites change AI-powered self-healing detects site changes and repairs scrapers. Your pipelines keep running. ### Thousands of verified scrapers Every scraper is built, tested, and maintained by Bright Data. No community guesswork. ### Pay per result, nothing extra One price per record . Proxies, retries, rendering, unblocking - all included, no surprises. ### Compliant and fully supported GDPR & CCPA compliant. 24/7 human support on every plan, including free. Start free Choose your path ## Start collecting IMDb Image data in minutes Call the API from code, click through the control panel, or hand it to your AI agent. Call it from code Trigger runs with parameters, schedule recurring jobs, and deliver to your storage or webhook. --- - Build requests in any language - Automate with schedulers and webhooks - JSON, NDJSON, or CSV delivery Run it in the control panel No engineering required: configure inputs, run, and download results in one place. --- - Configure inputs visually - Run with one click - Download JSON or CSV Hand it to your agent Your agent reads SKILL.md over MCP or the CLI and scrapes on its own. --- - Works with any MCP-compatible agent - One prompt to scrape - Structured JSON straight back to your agent By data type ## Explore more IMDb scrapers [### IMDb Scraper Scrape IMDb movies, TV series, and celebrity pages. Collect IMDb data such as title, popularity ranking, genres, top cast, credits, videos, photos, and more. ](/products/web-scraper/imdb) [### IMDb Reviews Scraper Scrape IMDb reviews and gather customer feedback details. Collect IMDb data such as: featured review, review rating, review count, critics review count, IMDb rating, title, and URL, and much more. ](/products/web-scraper/imdb/reviews) Use cases ## IMDb Image data scraping use cases Real-time IMDb Image intelligence for your business. #### Title artwork catalogs Poster URL Photos Title Collect posters and stills for IMDb titles, matched to title IDs, to populate streaming, review or media catalog products. #### Media metadata enrichment Photos Genres Release date Pair title photos with genres and release dates to build complete, visual records for recommendation and discovery tools. #### Cast and production research Photos Top cast Production companies Link title photos to cast and production companies to research who worked on what and how titles are marketed. #### Entertainment vision datasets Photos Genres Media type Build labeled image sets of film and TV stills by genre and media type to train classification and visual search models. Compare Bright Data to others ## Web Scraper API vs other providers Capability **Bright** Data Other scraping providers Auto-scaling infrastructure Unlimited Partial Anti-bot & CAPTCHA bypass Built-in Partial Residential proxy network 400M+ IPs Limited pool Pre-built scrapers 1,400+ 50–200 Auto-maintenance (site changes) 24/7 Depends on who built it Pricing model One all-in price per record Compute, proxy, and storage metered separately Failed requests Free, pay only for success Often billed Custom sites (no pre-built scraper) AI builds it in minutes, self-healing included Community-built scrapers, no SLA Compliance (GDPR, CCPA, SOC 2) Full Partial Structured output (JSON/CSV) Automatic Support 24/7 experts, even on the free tier Community forum Free tier 5K records/mo Varies compliance ## Leading the way in ethical web data collection Only publicly available data. ISO 27001 certified, SOC 2 controls, GDPR & CCPA compliant. Every use case is reviewed by a dedicated Compliance & Ethics team, backed by a documented Know Your Customer process and Acceptable Use Policy. [Visit the trust center](https://brightdata.com/trustcenter) Bright Data is used by world's top brands - [ --- Elio Narciso Co-founder and CEO at ScaleStack ](https://www.youtube.com/embed/j0BYFsK3k54) - [ --- Jessica Zizzamia Head of Product at Vibeslist ](https://www.youtube.com/embed/Qki-yHyCYt4) - [ --- Arjun Chintapalli Co-Founder & CTO of RTRVR ](https://www.youtube.com/embed/xUhRwFPIphI) - [ --- TJ Richardson Co-founder at Fundable ](https://www.youtube.com/embed/fT0ndFBQ-Vs) - [ --- Saroop Bharwani Co-founder at Senso ](https://www.youtube.com/embed/6Lo0w1hxAso) - [ --- Constantine Janashvilli Co-founder at Parallax Vision ](https://www.youtube.com/embed/vcfDCWutHyo) - [ --- Bhavani Kalisetty Co-Founder & CTO of RTRVR ](https://www.youtube.com/embed/EcBiLXl57N0) ### IMDb Image Scraper API FAQs [### What is the IMDb Image Scraper API? ](<#What is the IMDb Image Scraper API? >)The IMDb Image Scraper API is a powerful tool designed to automate data extraction from the IMDb Image website, allowing users to efficiently gather and process large volumes of data for various use cases. [### How does the IMDb Image Scraper API work? ](<#How does the IMDb Image Scraper API work? >)The IMDb Image Scraper API works by sending automated requests to targeted website, extracting the necessary data points, and delivering them in a structured format. This process ensures accurate and quick data collection. [### Is the IMDb Image Scraper API compliant with data protection regulations? ](<#Is the IMDb Image Scraper API compliant with data protection regulations? >)Yes, the IMDb Image Scraper API is designed to comply with data protection regulations, including GDPR and CCPA. It ensures that all data collection activities are performed ethically and legally. [### Can I use the IMDb Image Scraper API for competitive analysis? ](<#Can I use the IMDb Image Scraper API for competitive analysis? >)Absolutely! The IMDb Image Scraper API is ideal for competitive analysis, allowing you to gather insights into your competitors' activities, trends, and strategies. [### How can I integrate the IMDb Image Scraper API with my existing systems? ](<#How can I integrate the IMDb Image Scraper API with my existing systems? >)The IMDb Image Scraper API offers flawless integration with various platforms and tools. You can use it with your existing data pipelines, CRM systems, or analytics tools to improve your data processing capabilities. [### Is there a free tier available for the IMDb Image Scraper API?](<#Is there a free tier available for the IMDb Image Scraper API?>)Yes! Every new Bright Data account automatically includes 5,000 free credits per month (approximately $7.50 in value) — no credit card required, no promo code, no commitment. These credits apply to Scrapers (including the IMDb Image Scraper API), as well as the Unlocker API and SERP API. Credits renew on the 1st of each month, and you can start making API calls immediately after signing up. [### What happens when my free credits run out while using the IMDb Image Scraper API?](<#What happens when my free credits run out while using the IMDb Image Scraper API?>)When your 5,000 free monthly credits are exhausted, behavior depends on your account balance. If you have pre-deposited funds, usage continues seamlessly at standard PAYG rates with no interruption. If you have no deposited funds, requests will return an error until you add funds or until your credits renew on the 1st of the following month. Note that unused free credits do not roll over. To avoid interruptions, you can enable auto-recharge in your billing settings at [brightdata.com/cp/billing/settings](https://brightdata.com/cp/billing/settings). [### What are the usage limits for the IMDb Image Scraper API? ](<#What are the usage limits for the IMDb Image Scraper API? >)There are no specific usage limits for the IMDb Image Scraper API, offering you the flexibility to scale as needed. [### Do you provide support for the IMDb Image Scraper API? ](<#Do you provide support for the IMDb Image Scraper API? >)Yes, we offer dedicated support for the IMDb Image Scraper API. Our support team is available 24/7 to assist you with any questions or issues you may encounter while using the API. [### What delivery methods are available?](<#What delivery methods are available?>)Amazon S3, Google Cloud Storage, Google PubSub, Microsoft Azure Storage, Snowflake, and SFTP. [### What file formats are available?](<#What file formats are available?>)JSON, NDJSON, JSON lines, CSV, and .gz files (compressed). [### Can AI agents use the IMDb Image Scraper API?](<#Can AI agents use the IMDb Image Scraper API?>)Yes. Connect any agent through the hosted MCP server, point a coding agent at brightdata.com/SKILL.md to set itself up, or use the CLI. Agents authenticate once with browser OAuth and can run any of the IMDb Image scrapers. ## The easiest way to scrape IMDb Image data at scale Start freeContact sales