ThronesApi Scraper avatar

ThronesApi Scraper

Pricing

Pay per usage

Go to Apify Store
ThronesApi Scraper

ThronesApi Scraper

Game Of Thrones Characters Data with imagery.

Pricing

Pay per usage

Rating

0.0

(0)

Developer

Salman Bareesh

Salman Bareesh

Maintained by Community

Actor stats

0

Bookmarked

1

Total users

0

Monthly active users

4 hours ago

Last modified

Categories

Share

Game Of Thrones Characters Data with imagery Returns clean, structured JSON records ready for analysis, automation, or integration with other tools.

What You Get

  • Movie and show titles
  • Cast and crew details
  • Ratings and reviews
  • Streaming availability

All results are returned as structured JSON objects — no parsing or cleanup required.

Quick Start

Click Run with default settings — no configuration needed. The actor works out of the box.

{
"maxResults": 100,
"searchQuery": ""
}

Or search for specific data:

{
"searchQuery": "action movie",
"maxResults": 100
}

Input Options

FieldDefaultDescription
searchQuery""Keyword or phrase to filter results. Leave empty to browse all records.
maxResults100Maximum records to retrieve (1–10,000). Increase for bulk exports.

Output Format

Results are pushed to the Apify Dataset as individual JSON records. Each run also saves a summary to the Key-Value Store under OUTPUT:

{
"totalResults": 100,
"fetchedAt": "2025-01-01T00:00:00.000Z"
}

Dataset records contain the raw structured data returned by the source, including fields like:

  • Movie and show titles
  • Cast and crew details
  • Ratings and reviews

Use Cases

  • Movie recommendation apps
  • Content aggregators
  • Streaming guide platforms
  • Review sites

Pricing

$1.00 per 1,000 results — pay only for what you use. Pricing is based on the number of records pushed to the dataset.

ResultsEstimated Cost
100$0.10
1,000$1.00
10,000$10.00

Notes

  • Results are pushed to the dataset in real time as they are fetched
  • The actor automatically retries failed requests up to 3 times
  • Rate limiting is handled gracefully with built-in delays
  • Run multiple times safely — each run creates a fresh dataset