Waifu.Im Scraper
Pricing
Pay per usage
Waifu.Im Scraper
Get waifu pictures from an archive of over 4000 images and multiple tags.
Pricing
Pay per usage
Rating
0.0
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Developer

Salman Bareesh
Actor stats
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1
Total users
0
Monthly active users
2 hours ago
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Get waifu pictures from an archive of over 4000 images and multiple tags Returns clean, structured JSON records ready for analysis, automation, or integration with other tools.
What You Get
- Anime titles and synopses
- Episode counts and air dates
- Genre and rating data
- Studio and staff information
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": "attack on titan","maxResults": 100}
Input Options
| Field | Default | Description |
|---|---|---|
searchQuery | "" | Keyword or phrase to filter results. Leave empty to browse all records. |
maxResults | 100 | Maximum 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:
- Anime titles and synopses
- Episode counts and air dates
- Genre and rating data
Use Cases
- Anime recommendation engines
- Streaming catalog management
- Fan wikis and community sites
- Content discovery platforms
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.
| Results | Estimated 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