# Bing Images Scraper - Low-cost💲🔥🌐🖼️ (`delectable_incubator/bing-images-scraper-low-cost`) Actor

Scrape Bing Images search results easily 🔍🖼️ with a powerful image scraper.

Extract image URLs, descriptions, dimensions, and metadata for any keyword.

Ideal for visual research, brand monitoring, content sourcing, creative inspiration, and image SERP analysis with structured datasets 📊🚀

- **URL**: https://apify.com/delectable\_incubator/bing-images-scraper-low-cost.md
- **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community)
- **Categories:** SEO tools, Social media, Videos
- **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $0.00005 / actor start

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

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.
The best way to integrate Actors is as follows.

- **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).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

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).

# README

<p align="center"> <img src="https://i.ibb.co/jkNS73wX/readme.png" alt="Bing Images Search Scraper" width="100%"> </p>

***

### Bing Images Search Scraper 🌐🖼️🔎

The Bing Images Search Scraper is a fast and scalable Apify Actor designed to extract structured image search results directly from Bing Images.

It helps you collect visual data, monitor trends, build datasets, and analyze image search rankings across multiple keywords.

***

### 🎯 What This Scraper Does

Simply provide one or more keywords and the scraper handles everything automatically.

✅ Performs Bing Images searches

✅ Supports multiple keywords in one run

✅ Applies optional time-based filters

✅ Extracts structured image metadata

✅ Stops at your defined limit per keyword

✅ Ideal for AI datasets, research & monitoring

✅ Ready for automation workflows

***

### 📊 Data Extracted

🖼️ Image Information

| Field                | Description                      |
| -------------------- | -------------------------------- |
| 🔑 `keyword`         | Search keyword used              |
| 🔢 `position`        | Ranking position in Bing Images  |
| 🏷️ `title`          | Image title (if available)       |
| 🌐 `imageUrl`        | Full-resolution image URL        |
| 🖼️ `thumbnailUrl`   | Thumbnail preview image          |
| 🔗 `pageUrl`         | Source page URL                  |
| 🌍 `domain`          | Root domain of source page       |
| 📝 `description`     | Short description (if available) |
| 📐 `dimensions`      | Image size (e.g. 1920x1080)      |
| ⏱️ `searchTimestamp` | Date & time of the search        |

***

### 🛠 How to Use

1️⃣ Configure Input

Provide keywords and settings:

```
{
  "keywords": ["AI art", "data visualization"],
  "TIME_FILTER": "any",
  "LANGUAGE": "en-GB",
  "MAX_ITEMS_PER_KEYWORD": 50
}
```

2️⃣ Run the Actor

• Searches Bing Images for each keyword

• Applies time filter if selected

• Extracts structured image results

• Automatically moves to next keyword

• Stops when limit is reached

3️⃣ Export the Dataset

Download your results in multiple formats:

✅ JSON

✅ CSV

✅ Excel

✅ XML

✅ HTML

***

### ⚙️ Input Configuration

#### 📥 Input Example

```
{
  "keywords": ["machine learning", "big data"],
  "TIME_FILTER": "week",
  "LANGUAGE": "en-US",
  "MAX_ITEMS_PER_KEYWORD": 100
}
```

#### Input Fields

| Field                   | Type   | Description                              |
| ----------------------- | ------ | ---------------------------------------- |
| `keywords`              | array  | List of search keywords (bulk supported) |
| `TIME_FILTER`           | string | Filter results by recency                |
| `LANGUAGE`              | string | Language filter for results              |
| `MAX_ITEMS_PER_KEYWORD` | number | Max images per keyword                   |

***

### 📤 Output Example

```
{
  "keyword": "Artificial Intelligence",
  "position": 1,
  "title": "AI Brain Illustration",
  "imageUrl": "https://example.com/image.jpg",
  "thumbnailUrl": "https://example.com/thumb.jpg",
  "pageUrl": "https://example.com/page",
  "domain": "example.com",
  "description": "AI concept visualization",
  "dimensions": "1920x1080",
  "searchTimestamp": "2026-02-12T14:32:21.000Z"
}
```

***

### 📊 Output explanation

| Use Case                     | Description                                   |
| ---------------------------- | --------------------------------------------- |
| 📈 Trend Monitoring          | Track visual trends across industries         |
| 🕵️ Brand Monitoring         | Discover where images or topics appear        |
| 🎨 Content & Design Research | Find inspiration from top-ranking visuals     |
| 🧠 AI Dataset Creation       | Build structured datasets for training models |
| 📊 Data & Analytics Projects | Analyze image ranking and metadata            |
| 🔍 Competitive Intelligence  | Benchmark visual presence across domains      |

***

### 🌍 Why Use This Scraper?

🚀 Extract Bing Images data at scale

📊 Build structured visual datasets

⚡ Fast and automated scraping

🔍 Rich metadata for each image

📈 Perfect for AI, research & monitoring

***

### ⚠️ Disclaimer

This tool is an independent solution and is not affiliated with or endorsed by Bing.

***

### 💸 Pricing

This scraper runs on a **pay per events subscription model**.

You only pay for **successful runs**.

💳 **Price:** $2.98 / 1000 results

***

### Related Actors

If you're interested in other Bing scraping solutions, explore more tools:

(Coming soon)

***

### 📬 Support

⭐⭐⭐⭐⭐ Leave a 5-star rating if you like this tool

***

### 🌍 PrimeScrape

Built for scalable web data extraction & automation

Contact for custom scraping solutions or enterprise requests via Apify or by email.

# Actor input Schema

## `keywords` (type: `array`):

List of keywords or subjects to search for images. Each keyword will be scraped separately.

## `LANGUAGE` (type: `string`):

Select the language and country for search results

## `TIME_FILTER` (type: `string`):

Filter results by date

## `MAX_ITEMS_PER_KEYWORD` (type: `integer`):

Maximum number of image results to extract per keyword

## Actor input object example

```json
{
  "keywords": [
    "Web",
    "Cloud"
  ],
  "LANGUAGE": "en-US",
  "TIME_FILTER": "any",
  "MAX_ITEMS_PER_KEYWORD": 100
}
```

# Actor output Schema

## `overview` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "keywords": [
        "Web",
        "Cloud"
    ],
    "LANGUAGE": "en-US",
    "TIME_FILTER": "any",
    "MAX_ITEMS_PER_KEYWORD": 100
};

// Run the Actor and wait for it to finish
const run = await client.actor("delectable_incubator/bing-images-scraper-low-cost").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "keywords": [
        "Web",
        "Cloud",
    ],
    "LANGUAGE": "en-US",
    "TIME_FILTER": "any",
    "MAX_ITEMS_PER_KEYWORD": 100,
}

# Run the Actor and wait for it to finish
run = client.actor("delectable_incubator/bing-images-scraper-low-cost").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "keywords": [
    "Web",
    "Cloud"
  ],
  "LANGUAGE": "en-US",
  "TIME_FILTER": "any",
  "MAX_ITEMS_PER_KEYWORD": 100
}' |
apify call delectable_incubator/bing-images-scraper-low-cost --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,delectable_incubator/bing-images-scraper-low-cost"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/S0ZgByDaUSjnpa0SL/builds/uYbZWSm9DSdzFI59I/openapi.json