IMDb reviews
Returns IMDb user reviews for films and TV shows, found by title link or by name. Each review comes with its full text, the author's rating out of 10, date, helpful votes and spoiler flag, which makes it suited to audience sentiment and reception research.
What you get
- Review title and full review text
- Author's rating out of 10
- Review date and review ID
- Author nickname and IMDb profile ID
- Helpful votes up and down
- Spoiler flag
- Title ID, title name and title link
- The search name that matched the title, when searching by name
What it can do
- Pass IMDb title links, or type film and show names to find the title
- Collect reviews for several titles in one run; duplicate titles are fetched once
- Take more than one search match per name, for example to cover a franchise
- Sort by helpfulness, newest, oldest, rating or votes
- Skip reviews flagged as spoilers
- Localise regional title names with a country code
Limits
- Up to 10000 results per run
- Reviews only; cast, box office and other title data are not included
- A name search uses only the top match unless maxTitlesPerSearch is raised
- Only publicly visible data
Input options
| Field | What it does |
|---|---|
| startUrls | IMDb title page links to collect reviews from. |
| searchQueries | Film or show names; each resolves to its top matching title. |
| maxTitlesPerSearch | How many search matches to use per name (default 1). |
| maxReviewsPerTitle | Maximum reviews to collect for each title. |
| sortBy | Review order: helpfulness, newest, oldest, rating or votes. |
| includeSpoilers | Turn off to skip reviews flagged as spoilers. |
| country | Two-letter country code used to localise title names. |
Example
Ask your AI for the data in plain words and it picks this source. Developers can also call source procli_imdb_a directly through the REST API or MCP with an input like this:
{
"maxReviewsPerTitle": 100,
"startUrls": [
"https://www.imdb.com/title/tt4154796/"
]
}How to use it
- Create an account at prolevelmax.com. New users receive $1 in sign-up credit after verifying their email (one per person). No card required.
- Connect your AI. In the Dashboard, open Get started → Coding tools and API → Generate setup instructions and paste the instructions into your AI (Claude, ChatGPT, Cursor, Codex and others). You can also add the MCP server
https://prolevelmax.com/mcpor call the REST API. - Request data. Your AI selects a source, quotes the price and runs it only after you confirm. Results are returned as structured JSON that the AI can format as a table or report.
FAQ
How is this source billed?
Per result: $0.003/result + $0.001/run, min $0.02/run. Your AI quotes the price first, and you are never charged more than the quote.
Do I need an IMDb account or API key?
No. You only need a ProLevelMax account. One balance and one connection cover all 157 platforms.
Is the data real-time?
Yes. Every call fetches public IMDb data at the time of the request. Only publicly visible content is collected.
New users receive $1 in sign-up credit after verifying their email (one per person). No card required. Pay per use with no subscription. Top up by card (USD) or Alipay (CNY); Enterprise top-ups from $1,000 by bank transfer.
Start for free