Metacritic Reviews & Scores Scraper

Extract Metacritic titles, scores, release details, rankings, and optional public review snippets from movies, TV shows, games, and music pages.

What does Metacritic Reviews & Scores Scraper do?

Metacritic Reviews & Scores Scraper turns public Metacritic pages into structured datasets.

It can collect title pages from browse rankings, search results, and direct detail URLs.

Use it to monitor Metascores, user scores, critic review volume, public user review volume, genres, summaries, and release dates.

When enabled, it can also add a small set of public critic and user review snippets to each title row.

Who is this Metacritic scraper for?

Media research teams use it to compare titles across categories.

Game publishers use it to watch critic reception and review counts.

Film marketers use it to build research lists for new releases and evergreen rankings.

SEO teams use it to enrich review roundups and content briefs.

Data analysts use it to combine Metacritic scores with internal market data.

Why scrape Metacritic with this actor?

Metacritic pages are useful but not convenient for repeat analysis.

This actor gives you consistent rows that can be exported to JSON, CSV, Excel, Google Sheets, or downstream systems.

You can run small searches or larger ranking pages without manually copying data from the website.

What Metacritic data can I extract?

Field	Description
url	Metacritic title URL
contentType	Movie, TV, game, or music
name	Title name shown on Metacritic
releaseDate	Public release date when available
platformsNetwork	Game platforms or TV network signals when available
genres	Public genre list
metascore	Critic Metascore
userScore	Public user score when available
criticReviewCount	Number of critic reviews behind the score
userReviewCount	Number of public user ratings or reviews detected
summary	Metacritic summary or synopsis
rankingContext	Browse rank or search context
reviewSnippets	Optional critic/user snippets
fetchedAt	Timestamp for the scrape

Pricing

This Actor uses Apify pay-per-event pricing. The prices below come from the current Actor pricing configuration. Apify public plans map to Store discount tiers, so the table shows both the user-facing plan context and the pricing tier name. The final price shown in Apify depends on the user account plan and any custom agreement.

Event	What is charged	Price
start	One-time fee per run	$0.005

Event	What is charged	Free / no discount	Starter / Bronze	Scale / Silver	Business / Gold	Custom / Platinum	Custom / Diamond
result	Per Metacritic title record produced	$0.69 / 1,000	$0.6 / 1,000	$0.468 / 1,000	$0.36 / 1,000	$0.24 / 1,000	$0.168 / 1,000

Apify may also charge platform usage for compute, storage, proxies, or data transfer outside this Actor pricing. Check the Actor run and the Apify Pricing tab for the exact cost shown to your account.

How to scrape Metacritic rankings

1. Open the actor on Apify.
2. Add a Metacritic browse URL such as https://www.metacritic.com/browse/movie/.
3. Set maxItems to the number of titles you want.
4. Keep includeReviews off for a fast score run.
5. Start the actor.
6. Export the dataset from the Storage tab.

How to scrape a Metacritic search query

Enter a search term in query, for example elden ring.

The actor opens the public Metacritic search page, finds matching title pages, and saves structured title records.

Use search mode when you know a title, franchise, publisher, album, or show name.

How to scrape a Metacritic title detail page

Paste a title URL in startUrls.

Examples include:

• https://www.metacritic.com/movie/dekalog-1988/
• https://www.metacritic.com/game/elden-ring/
• https://www.metacritic.com/tv/breaking-bad/

The actor saves one row for each detail URL.

Input settings

Key	Type	Description
startUrls	array	Exact Metacritic browse, search, or title pages.
query	string	Search term when you want the actor to search Metacritic for you.
category	string	movie, tv, game, or music default browse category.
browseSort	string	Ranking context for browse runs, such as metascore.
year	integer	Optional year context for your run setup.
maxItems	integer	Maximum number of title records to save.
includeReviews	boolean	Turn on to fetch short public critic/user review excerpts.
maxReviewSnippets	integer	Maximum critic snippets and user snippets per title.
proxyConfiguration	object	Apify proxy settings. Try default/datacenter proxy first; use residential only if blocked.

Verified public examples

Ready-to-run Apify Store examples verified in post-publish QA:

• Metacritic movie detail score
• Metacritic game search review snippets
• Metacritic movie browse ranking

Example input

{
  "startUrls": [
    { "url": "https://www.metacritic.com/browse/movie/" }
  ],
  "maxItems": 10,
  "includeReviews": false,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": []
  }
}

Example output

{
  "url": "https://www.metacritic.com/movie/dekalog-1988/",
  "contentType": "movie",
  "name": "Dekalog (1988)",
  "releaseDate": "1996-03-22",
  "genres": ["Drama"],
  "metascore": 100,
  "userScore": null,
  "criticReviewCount": 13,
  "userReviewCount": 256,
  "summary": "This masterwork by Krzysztof Kieślowski...",
  "rankingContext": "Rank 1 on Metacritic browse page",
  "reviewSnippets": [],
  "fetchedAt": "2026-07-04T00:00:00.000Z"
}

Tips for best results

Start with a small maxItems value.

Confirm the output fields you need.

Then increase the limit for scheduled or bulk runs.

Use detail URLs for exact titles.

Use browse URLs for rankings.

Use query mode for discovery.

Disable review snippets when you only need scores.

Enable review snippets for editorial research.

Metacritic categories

Movies are supported.

TV pages are supported.

Game pages are supported.

Music pages are supported.

Availability of individual fields varies by title type and Metacritic page content.

Integrations

Send results to Google Sheets for editorial tracking.

Export CSV files for research teams.

Connect the dataset to BI dashboards.

Use webhooks to start enrichment after a run succeeds.

Combine title rows with internal campaign, release, or sales data.

Input recipes

These are safe pre-publication example inputs. Public ready-to-run Example links will be added only after the actor is published and Publisher creates verified tasks.

Movie detail enrichment

{
  "startUrls": [{ "url": "https://www.metacritic.com/movie/the-godfather/" }],
  "maxItems": 1,
  "includeReviews": false,
  "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [] }
}

Game search with review snippets

{
  "query": "elden ring",
  "maxItems": 2,
  "includeReviews": true,
  "maxReviewSnippets": 1,
  "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [] }
}

Movie ranking sample

{
  "startUrls": [{ "url": "https://www.metacritic.com/browse/movie/" }],
  "category": "movie",
  "browseSort": "metascore",
  "maxItems": 5,
  "includeReviews": false,
  "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [] }
}

API usage

Node.js

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('fetch_cat/metacritic-reviews-scores-scraper').call({
  query: 'elden ring',
  maxItems: 5,
});
console.log(run.defaultDatasetId);

Python

from apify_client import ApifyClient

client = ApifyClient('MY-APIFY-TOKEN')
run = client.actor('fetch_cat/metacritic-reviews-scores-scraper').call(run_input={
    'query': 'elden ring',
    'maxItems': 5,
})
print(run['defaultDatasetId'])

cURL

curl -X POST 'https://api.apify.com/v2/acts/fetch_cat~metacritic-reviews-scores-scraper/runs?token=MY-APIFY-TOKEN' \
  -H 'Content-Type: application/json' \
  -d '{"query":"elden ring","maxItems":5}'

MCP usage

You can run this actor from Claude Code or Claude Desktop through Apify MCP.

Use the MCP URL with the actor tool enabled:

https://mcp.apify.com/?tools=fetch_cat/metacritic-reviews-scores-scraper

Add it in Claude CLI:

$claude mcp add apify-metacritic "https://mcp.apify.com/?tools=fetch_cat/metacritic-reviews-scores-scraper"

Claude Desktop JSON config:

{
  "mcpServers": {
    "apify-metacritic": {
      "url": "https://mcp.apify.com/?tools=fetch_cat/metacritic-reviews-scores-scraper"
    }
  }
}

Example prompt ideas for MCP:

• "Scrape the top 10 Metacritic movie rankings and summarize the highest scoring titles."
• "Find Metacritic results for Elden Ring and return the scores and review counts."
• "Collect review snippets for this Metacritic movie URL and format them as a table."

Data quality notes

Scores and counts are captured from public pages.

Some title types do not show every field.

A missing value means the public page did not expose that value during the run.

The actor avoids saving obvious challenge pages as data.

Troubleshooting

Why did my run return fewer titles than requested?

The page may contain fewer matching titles than your maxItems value, or Metacritic may not expose more results on that URL.

Try a broader browse URL or a different query.

Why are review snippets empty?

Review snippets are only collected when includeReviews is enabled.

Some pages also have limited public review text.

Why is userScore null?

Some pages do not expose a user score in a reliable machine-readable place.

The row still includes the Metascore and review counts when available.

Legal and ethical use

This actor extracts publicly available information from Metacritic pages.

Use it responsibly and respect applicable laws, platform terms, and privacy rules.

Do not use the actor to overload websites or republish content in a way that violates rights.

FAQ

Can I scrape reviews as separate rows?

Not in this version. Review snippets are nested inside each title row and bounded by maxReviewSnippets.

Why did a direct title URL return one row?

Detail URL mode is designed for enrichment of known Metacritic pages, so each valid detail URL maps to one output row.

Related scrapers

• Metacritic Reviews & Scores Scraper for Metacritic title score workflows.
• Google News Scraper for editorial monitoring workflows.
• Google Trends Scraper for audience interest research workflows.

Support

If a run fails, contact support with the run ID or run URL, exact input JSON, expected output, actual output, and one reproducible public URL such as a public Metacritic title or browse page.

Mention whether you used start URLs, query mode, or review snippets. Small reproducible inputs are easiest to diagnose.

Changelog

• 2026-07-28 - Feature: Added ready-to-run Apify Store example tasks

• 2026-07-28 - Feature: Launched Metacritic Reviews & Scores Scraper on Apify Store

  • This actor is now publicly available in the Apify Store.