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HTTP Dog Scraper

Pricing

Pay per usage

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HTTP Dog Scraper

HTTP Dog Scraper

Dogs for every HTTP response status code.

Pricing

Pay per usage

Rating

0.0

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Developer

Salman Bareesh

Salman Bareesh

Maintained by Community

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0

Bookmarked

1

Total users

0

Monthly active users

14 hours ago

Last modified

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Dogs for every HTTP response status code Returns clean, structured JSON records ready for analysis, automation, or integration with other tools.

What You Get

  • Species names and descriptions
  • Images and photos
  • Physical characteristics
  • Natural habitat and behavior

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": "cat",
"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:

  • Species names and descriptions
  • Images and photos
  • Physical characteristics

Use Cases

  • Pet care and information apps
  • Wildlife education platforms
  • School research projects
  • Nature documentary databases

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