LinkedIn Ads Scraper ๐๐ (Advanced & Cheaper ๐ฐ)
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$9.90/month + usage
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LinkedIn Ads Scraper ๐๐ (Advanced & Cheaper ๐ฐ)
Looking for a LinkedIn ads scraper to fetch sponsored ad details? ๐ With the LinkedIn Ads Scraper ๐, easily collect ad listings based on keywords, companies, locations & more. Retrieve details like advertiser names, ad headlines, commentary, image URLs, event dates, and links to detailed ad pages
5.0 (1)
Pricing
$9.90/month + usage
2
Total users
5
Monthly users
3
Runs succeeded
>99%
Last modified
2 months ago
You can access the LinkedIn Ads Scraper ๐๐ (Advanced & Cheaper ๐ฐ) programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, youโll need an Apify account and your API token, found in Integrations settings in Apify Console.
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This could be a product name, brand, or topic of interest! ๐", "default": "ai" }, "entreprise": { "title": "๐ข Enter the Company Name for Ads Metadata", "type": "string", "description": "Specify the company whose ads you want to scrape from the LinkedIn Ads Library. Example: 'NVIDIA', 'Google', etc. ๐ข", "default": "nvidia" }, "country": { "title": "๐ Select the Country for Scraping Ads", "enum": [ "All ๐", "Albania ๐ฆ๐ฑ", "Algeria ๐ฉ๐ฟ", "Andorra ๐ฆ๐ฉ", "Angola ๐ฆ๐ด", "Antigua and Barbuda ๐ฆ๐ฌ", "Argentina ๐ฆ๐ท", "Armenia ๐ฆ๐ฒ", "Australia ๐ฆ๐บ", "Austria ๐ฆ๐น", "Azerbaijan ๐ฆ๐ฟ", "Bahamas ๐ง๐ธ", "Bahrain ๐ง๐ญ", "Bangladesh ๐ง๐ฉ", "Barbados ๐ง๐ง", "Belarus ๐ง๐พ", "Belgium ๐ง๐ช", "Belize ๐ง๐ฟ", "Benin ๐ง๐ฏ", "Bhutan ๐ง๐น", "Bolivia ๐ง๐ด", "Bosnia and Herzegovina ๐ง๐ฆ", "Botswana ๐ง๐ผ", "Brazil ๐ง๐ท", "Brunei ๐ง๐ณ", "Bulgaria ๐ง๐ฌ", "Burkina Faso ๐ง๐ซ", "Burundi ๐ง๐ฎ", "Cabo Verde ๐จ๐ป", "Cambodia ๐ฐ๐ญ", "Cameroon ๐จ๐ฒ", "Canada ๐จ๐ฆ", "Central African Republic ๐จ๐ซ", "Chad ๐น๐ฉ", "Chile ๐จ๐ฑ", "China ๐จ๐ณ", "Colombia ๐จ๐ด", "Comoros ๐ฐ๐ฒ", "Congo ๐จ๐ฌ", "Congo (Democratic Republic) ๐จ๐ฉ", "Costa Rica ๐จ๐ท", "Croatia ๐ญ๐ท", "Cuba ๐จ๐บ", "Cyprus ๐จ๐พ", "Czech Republic ๐จ๐ฟ", "Denmark ๐ฉ๐ฐ", "Djibouti ๐ฉ๐ฏ", "Dominica ๐ฉ๐ฒ", "Dominican Republic ๐ฉ๐ด", "Ecuador ๐ช๐จ", "Egypt ๐ช๐ฌ", "El Salvador ๐ธ๐ป", "Equatorial Guinea ๐ฌ๐ถ", "Eritrea ๐ช๐ท", "Estonia ๐ช๐ช", "Eswatini ๐ธ๐ฟ", "Ethiopia ๐ช๐น", "Fiji ๐ซ๐ฏ", "Finland ๐ซ๐ฎ", "France ๐ซ๐ท", "Gabon ๐ฌ๐ฆ", "Gambia ๐ฌ๐ฒ", "Georgia ๐ฌ๐ช", "Germany ๐ฉ๐ช", "Ghana ๐ฌ๐ญ", "Greece ๐ฌ๐ท", "Grenada ๐ฌ๐ฉ", "Guatemala ๐ฌ๐น", "Guinea ๐ฌ๐ณ", "Guinea-Bissau ๐ฌ๐ผ", "Guyana ๐ฌ๐พ", "Haiti ๐ญ๐น", "Honduras ๐ญ๐ณ", "Hungary ๐ญ๐บ", "Iceland ๐ฎ๐ธ", "India ๐ฎ๐ณ", "Indonesia ๐ฎ๐ฉ", "Iran ๐ฎ๐ท", "Iraq ๐ฎ๐ถ", "Ireland ๐ฎ๐ช", "Italy ๐ฎ๐น", "Jamaica ๐ฏ๐ฒ", "Japan ๐ฏ๐ต", "Jordan ๐ฏ๐ด", "Kazakhstan ๐ฐ๐ฟ", "Kenya ๐ฐ๐ช", "Kiribati ๐ฐ๐ฎ", "Korea (North) ๐ฐ๐ต", "Korea (South) ๐ฐ๐ท", "Kuwait ๐ฐ๐ผ", "Kyrgyzstan ๐ฐ๐ฌ", "Laos ๐ฑ๐ธ", "Latvia ๐ฑ๐ป", "Lebanon ๐ฑ๐ง", "Lesotho ๐ฑ๐ธ", "Liberia ๐ฑ๐ธ", "Libya ๐ฑ๐พ", "Liechtenstein ๐ฑ๐ฎ", "Lithuania ๐ฑ๐น", "Luxembourg ๐ฑ๐บ", "Madagascar ๐ฒ๐ฌ", "Malawi ๐ฒ๐ผ", "Malaysia ๐ฒ๐พ", "Maldives ๐ฒ๐ป", "Mali ๐ฒ๐ฑ", "Malta ๐ฒ๐น", "Marshall Islands ๐ฒ๐ญ", "Mauritania ๐ฒ๐ท", "Mauritius ๐ฒ๐บ", "Mexico ๐ฒ๐ฝ", "Micronesia ๐ซ๐ฒ", "Moldova ๐ฒ๐ฉ", "Monaco ๐ฒ๐จ", "Mongolia ๐ฒ๐ณ", "Montenegro ๐ฒ๐ช", "Morocco ๐ฒ๐ฆ", "Mozambique ๐ฒ๐ฟ", "Myanmar ๐ฒ๐ฒ", "Namibia ๐ณ๐ฆ", "Nauru ๐ณ๐ท", "Nepal ๐ณ๐ต", "Netherlands ๐ณ๐ฑ", "New Zealand ๐ณ๐ฟ", "Nicaragua ๐ณ๐ฎ", "Niger ๐ณ๐ช", "Nigeria ๐ณ๐ฌ", "North Macedonia ๐ฒ๐ฐ", "Norway ๐ณ๐ด", "Oman ๐ด๐ฒ", "Pakistan ๐ต๐ฐ", "Palau ๐ต๐ผ", "Panama ๐ต๐ฆ", "Papua New Guinea ๐ต๐ฌ", "Paraguay ๐ต๐พ", "Peru ๐ต๐ช", "Philippines ๐ต๐ญ", "Poland ๐ต๐ฑ", "Portugal ๐ต๐น", "Qatar ๐ถ๐ฆ", "Romania ๐ท๐ด", "Russia ๐ท๐บ", "Rwanda ๐ท๐ผ", "Saint Kitts and Nevis ๐ฐ๐ณ", "Saint Lucia ๐ฑ๐จ", "Saint Vincent and the Grenadines ๐ป๐จ", "Samoa ๐ผ๐ธ", "San Marino ๐ธ๐ฒ", "Sao Tome and Principe ๐ธ๐น", "Saudi Arabia ๐ธ๐ฆ", "Senegal ๐ธ๐ณ", "Serbia ๐ท๐ธ", "Seychelles ๐ธ๐จ", "Sierra Leone ๐ธ๐ฑ", "Singapore ๐ธ๐ฌ", "Slovakia ๐ธ๐ฐ", "Slovenia ๐ธ๐ฎ", "Solomon Islands ๐ธ๐ง", "Somalia ๐ธ๐ด", "South Africa ๐ฟ๐ฆ", "South Sudan ๐ธ๐ธ", "Spain ๐ช๐ธ", "Sri Lanka ๐ฑ๐ฐ", "Sudan ๐ธ๐ฉ", "Suriname ๐ธ๐ท", "Sweden ๐ธ๐ช", "Switzerland ๐จ๐ญ", "Syria ๐ธ๐พ", "Taiwan ๐น๐ผ", "Tajikistan ๐น๐ฏ", "Tanzania ๐น๐ฟ", "Thailand ๐น๐ญ", "Timor-Leste ๐น๐ฑ", "Togo ๐น๐ฌ", "Tonga ๐น๐ด", "Trinidad and Tobago ๐น๐น", "Tunisia ๐น๐ณ", "Turkey ๐น๐ท", "Turkmenistan ๐น๐ฒ", "Tuvalu ๐น๐ป", "Uganda ๐บ๐ฌ", "Ukraine ๐บ๐ฆ", "United Arab Emirates ๐ฆ๐ช", "United Kingdom ๐ฌ๐ง", "United States ๐บ๐ธ", "Uruguay ๐บ๐พ", "Uzbekistan ๐บ๐ฟ", "Vanuatu ๐ป๐บ", "Vatican City ๐ป๐ฆ", "Venezuela ๐ป๐ช", "Vietnam ๐ป๐ณ", "Yemen ๐พ๐ช", "Zambia ๐ฟ๐ฒ", "Zimbabwe ๐ฟ๐ผ" ], "type": "string", "description": "Choose the country you want to scrape LinkedIn ads from. You can pick 'All ๐' or any specific country! ๐", "default": "All ๐" }, "date": { "title": "๐
Choose Date Sort (When Ads Were Posted) โฐโณ", "enum": [ "Any", "Last 30 days", "This month", "This year", "Last year" ], "type": "string", "description": "Choose how you want to sort ads by date! โฐโณ You can select 'Any' for all dates, or narrow it down by 'Last 30 days', 'This month', or 'This year'.", "default": "Any" }, "maxitems": { "title": "๐ข Max Number of Ads to Scrape", "type": "integer", "description": "Set the maximum number of ads you want to scrape from LinkedIn Ads Library. Default is 60, but you can adjust it according to your needs! ๐ข", "default": 60 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "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 }, "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": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "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": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "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", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } }}LinkedIn Ads Scraper ๐๐ (Advanced & Cheaper ๐ฐ) 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.
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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 LinkedIn Ads Scraper ๐๐ (Advanced & Cheaper ๐ฐ) from the options below:
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