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Facebook Ads Spy

Deprecated

Pricing

$10.00/month + usage

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Facebook Ads Spy

Facebook Ads Spy

Deprecated

Developed by

Jeferson de Oliveira

Jeferson de Oliveira

Maintained by Community

Are you ready to take your Facebook marketing strategy to a whole new level? Introducing the Facebook Ad Spy, the essential tool for digital marketers looking to enhance their campaigns and outpace the competition.

0.0 (0)

Pricing

$10.00/month + usage

1

Total users

5

Monthly users

5

Last modified

a year ago

You can access the Facebook Ads Spy 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.

{
"openapi": "3.0.1",
"info": {
"version": "0.0",
"x-build-id": "i1ziIcOj7ariSjhLe"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/jefersonflus~facebook-ads-spy/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-jefersonflus-facebook-ads-spy",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
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}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
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"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/jefersonflus~facebook-ads-spy/runs": {
"post": {
"operationId": "runs-sync-jefersonflus-facebook-ads-spy",
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},
"parameters": [
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"name": "token",
"in": "query",
"required": true,
"schema": {
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"description": "Enter your Apify token here"
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],
"responses": {
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"schema": {
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"/acts/jefersonflus~facebook-ads-spy/run-sync": {
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"responses": {
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"description": "OK"
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}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"properties": {
"idAd": {
"title": "ID of AD from Facebook",
"type": "integer",
"description": "Insert ID from AD of Facebook"
},
"maxRequestsPerCrawl": {
"title": "Max Requests per Crawl",
"type": "integer",
"description": "Maximum number of requests that can be made by this crawler.",
"default": 100
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
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"actId": {
"type": "string"
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"userId": {
"type": "string"
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"startedAt": {
"type": "string",
"format": "date-time",
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"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
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"rebootCount": {
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"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
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"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
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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
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"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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"type": "integer",
"example": 0
},
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"type": "integer",
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},
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"type": "integer",
"example": 0
},
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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
},
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"example": 0
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"type": "integer",
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"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}

Facebook Ads Spy 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 Facebook Ads Spy 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: