📌 What review data can you collect from IMDb?
This template collects review records with Title, Review Title, User Name, Page URL, Premalink, Rating, Rating Count, and Review Rating. It is useful for customer-insight teams, reputation analysts, researchers, and competitive-intelligence professionals.
Data is collected from IMDb. IMDb is a database of movies, television, cast and crew information, ratings, and user reviews.
💰 Pricing
This template is currently free of charge and has no per-line usage fee. Octoparse plan or resource limits may still apply.
📦 Output
The current published implementation can return the following fields:
TitleRatingRating_CountPlotPage_URLPublished_YearLengthDirectorWritersStarsReview_RatingReview_CountUser_NameReview_DateReview_TitlePremalinkReview_TextHelpful_CountDislike_Count
{
"Title": "Harry Potter and the Sorcerer's Stone",
"Rating": "7.7 /10",
"Rating_Count": "885K",
"Plot": "An orphaned boy enrolls in a school of wizardry, where he learns the truth about himself, his family and the terrible evil that haunts the magical world.An orphaned boy enrolls in a school of wizardry, where he learns the truth about himself, his family and the terrible evil that haunts the magical world.An orphaned boy enrolls in a school of wizardry, where he learns the truth about himself, his family and the terrible evil that haunts the magical world.",
"Page_URL": "https://www.imdb.com/title/tt0241527/?ref_=tt_urv",
"Published_Year": "2001",
"Length": "2h 32m",
"Director": "Chris Columbus",
"Writers": "J.K. RowlingSteve Kloves",
"Stars": "Daniel RadcliffeRupert GrintEmma Watson",
"Review_Rating": "8 /10",
"Review_Count": "2,046 reviews",
"User_Name": "Keyan-the-Eagle144",
"Review_Date": "2018/03/23",
"Review_Title": "The major start of all the magic!",
"Premalink": "https://www.imdb.com/review/rw4101904/?ref_=tturv_perm_1",
"Review_Text": "Having read the first few Harry Potter books before 2001 and hearing about the hype for the first movie, I was excited. I heard there was going to be an all-British cast (which makes sense, right?) and we'd get to see a live version of one of the defining novels of our generation. From what I remember I went with my family and a family friend to see the movie the day after Christmas and was pleasantly amazed. After the movie was over, I watched the credits and discovered some familiar names (the late Alan Rickman, Sister Act's Maggie Smith, James Bond 007's Robbie Coltrane, and Star Wars' Warwick Davis); others not so familiar (the kids, some of whom had their debut). But it was a good movie and was a party of colors and sights for all to see. This is easily my favorite of all the Harry Potter films. The catalyst of the movie series!",
"Helpful_Count": "83",
"Dislike_Count": "13"
}
🎯 Use Cases
- Build a structured IMDb review dataset organized by Title, Review Title, and User Name.
- Compare Rating, Rating Count, Review Rating, and Review Count across collected records.
- Analyze review content through Review Text and review timing through Review Date.
- Measure audience response using Dislike Count and Helpful Count.
🐙 Why Octoparse
- Ready-to-use workflow: The extraction steps for IMDb are already configured, so you do not need to build the scraper from scratch.
- Flexible execution: Choose the supported local or cloud run mode to fit one-off checks or repeatable collection work.
- Structured, repeatable output: Results are returned as consistent rows that are easier to compare, filter, deduplicate, and process than manually copied pages.
- Verified input guardrails: The form exposes the current inputs, selectable values, and meaningful limits configured for this template.
- Practical data handoff: Review results in Octoparse and export or process them using the options supported by your Octoparse environment.
📝 Input
Complete the following fields:
- URL (Required) — Enter a list of movie URLs for review extraction. Up to 50,000 entries per run.
🚀 How to Use
- Open the template and select Try it or Start.
- Complete the input fields listed above.
- Start the task using the supported local or cloud run mode.
- Review the output rows and export or process the structured data.
⚠️ Limitations
Results depend on what the source site exposes at run time. A listed output field can be empty when the source page does not provide that value. Input limits shown above are enforced by the template.
💡 Tips
Use specific, valid inputs and review a representative result before starting a large batch. Remove duplicate inputs when repeated records are not needed.
❓ FAQ
How does this scraper work?
The automation opens each page supplied through URL (up to 50,000 per run), moves through the available review content according to the configured controls, and writes structured review rows including Title, Rating, Rating Count, and Plot.
What do I need to enter?
Use the fields and accepted values shown in the Input section. Only user-relevant limits and selectable options are listed.
What data does this template return?
The current output fields and a representative JSON Data Preview are listed in the Output section. Field availability can vary when the source page does not display a value.
Is this template free to use?
It is currently free of charge and has no per-line usage fee. Octoparse plan or resource limits may still apply.
Why can some output fields be empty?
Source pages do not always expose every value for every record, and layouts can vary by item, market, or current site response. The template returns a field when the current page provides it.
Can I export the collected data?
You can review the structured rows in Octoparse and export or process them using the options supported by your Octoparse environment.
🔗 Related Templates
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- YouTube Comments & Replies Scraper — Use YouTube Comments & Replies Scraper to study audience reactions to video content.