# All Street Photography Data Extraction API

**Use case:** 

A ready-to-run example that extracts structured All data for street photography, with normalized fields on each returned row.

## Input

```json
{
  "keyword": "street photography",
  "platforms": [
    "bing"
  ],
  "format": "webp",
  "max_results": 50
}
```

## Output

```json
{
  "platform": {
    "label": "Platform",
    "format": "string"
  },
  "keyword": {
    "label": "Keyword",
    "format": "string"
  },
  "rank": {
    "label": "Rank",
    "format": "integer"
  },
  "title": {
    "label": "Title",
    "format": "string"
  },
  "description": {
    "label": "Description",
    "format": "string"
  },
  "publisher": {
    "label": "Publisher",
    "format": "string"
  },
  "creators": {
    "label": "Creators",
    "format": "array"
  },
  "variants": {
    "label": "Variants",
    "format": "array"
  },
  "search_url": {
    "label": "Search Url",
    "format": "string"
  },
  "source_url": {
    "label": "Source Url",
    "format": "string"
  },
  "page_url": {
    "label": "Page Url",
    "format": "string"
  },
  "thumbnail_url": {
    "label": "Thumbnail Url",
    "format": "string"
  },
  "raw_url": {
    "label": "Raw Url",
    "format": "string"
  },
  "original_url": {
    "label": "Original Url",
    "format": "string"
  },
  "image_url": {
    "label": "Image Url",
    "format": "string"
  },
  "metadata_url": {
    "label": "Metadata Url",
    "format": "string"
  },
  "original_format": {
    "label": "Original Format",
    "format": "string"
  },
  "output_format": {
    "label": "Output Format",
    "format": "string"
  },
  "width": {
    "label": "Width",
    "format": "integer"
  },
  "height": {
    "label": "Height",
    "format": "integer"
  },
  "output_width": {
    "label": "Output Width",
    "format": "integer"
  },
  "output_height": {
    "label": "Output Height",
    "format": "integer"
  },
  "original_frames": {
    "label": "Original Frames",
    "format": "integer"
  },
  "output_frames": {
    "label": "Output Frames",
    "format": "integer"
  },
  "original_bytes": {
    "label": "Original Bytes",
    "format": "integer"
  },
  "output_bytes": {
    "label": "Output Bytes",
    "format": "integer"
  },
  "original_sha256": {
    "label": "Original Sha256",
    "format": "string"
  },
  "output_sha256": {
    "label": "Output Sha256",
    "format": "string"
  },
  "processor": {
    "label": "Processor",
    "format": "string"
  },
  "processed_at": {
    "label": "Processed At",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [All Image Scraper](https://apify.com/agentx/all-image-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/agentx/all-image-scraper.md) to learn more, explore other use cases, and run it yourself.


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If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
This Task's input is already configured above — use it as-is rather than inventing a new one.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/agentx/all-image-scraper.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).