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DuckDuckGo Scraper

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$0.60 / 1,000 results

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DuckDuckGo Scraper

DuckDuckGo Scraper

Developed by

Ivan Vasiljević

Ivan Vasiljević

Maintained by Community

Scrape search results from DuckDuckGo without any limits! Export your search result data into XML, JSON, CSV or Excel!

0.0 (0)

Pricing

$0.60 / 1,000 results

0

Total users

4

Monthly users

4

Runs succeeded

91%

Last modified

17 days ago

You can access the DuckDuckGo Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

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"x-build-id": "0poPDrwMH47cdmi7J"
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"servers": [
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],
"paths": {
"/acts/ivanvs~duckduckgo-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-ivanvs-duckduckgo-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
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"content": {
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"schema": {
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"parameters": [
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"responses": {
"200": {
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"/acts/ivanvs~duckduckgo-scraper/runs": {
"post": {
"operationId": "runs-sync-ivanvs-duckduckgo-scraper",
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"summary": "Executes an Actor and returns information about the initiated run in response.",
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"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
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"components": {
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"properties": {
"query": {
"title": "Query - search that you want to execute",
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"type": "string",
"description": "Search that you want to execute"
},
"timeFrame": {
"title": "Time Frame",
"enum": [
"a",
"d",
"w",
"m",
"y"
],
"type": "string",
"description": "Select time frame that allows you to retrive search results from given time frame"
},
"maxRecords": {
"title": "Maximum number of records",
"minimum": 1,
"type": "integer",
"description": "Maximum number of records to be scraped",
"default": 100
},
"safeSearch": {
"title": "Safe Search",
"enum": [
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"-1",
"0"
],
"type": "string",
"description": "Filter out websites that contain explicit or mature content"
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"id": {
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"actId": {
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},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
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"computeUnits": {
"type": "integer",
"example": 0
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}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
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"timeoutSecs": {
"type": "integer",
"example": 300
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"memoryMbytes": {
"type": "integer",
"example": 1024
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"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
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"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
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"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
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"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
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"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
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},
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},
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"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
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},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
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"example": 0
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"example": 0
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"PROXY_SERPS": {
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DuckDuckGo Scraper OpenAPI definition

OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.

OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.

By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.

You can download the OpenAPI definitions for DuckDuckGo Scraper from the options below:

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients: