LinkedIn Ads Scraper for Clay
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LinkedIn Ads Scraper for Clay
gtm_engineer/linkedin-ads-scraper-for-clay
Try for free
No credit card required
This actor scrapes the ads a company is running on LinkedIn for easy use in Clay tables. Just enter the company name, date and number of results you would like to get.
You can access the LinkedIn Ads Scraper for Clay programmatically from your own applications by using the Apify API. You can 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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133 "required": [
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135 "startDate",
136 "endDate",
137 "maxItems"
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140 "companyName": {
141 "title": "Company Name",
142 "minLength": 3,
143 "type": "string",
144 "description": "Name of the advertiser.",
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147 "country": {
148 "title": "Country",
149 "type": "string",
150 "description": "Target country for the ads (e.g., US, IN). Leave blank to include all countries.",
151 "default": ""
152 },
153 "startDate": {
154 "title": "Start Date",
155 "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
156 "type": "string",
157 "description": "Start date for the ad campaign in YYYY-MM-DD format.",
158 "default": "2024-05-01"
159 },
160 "endDate": {
161 "title": "End Date",
162 "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
163 "type": "string",
164 "description": "End date for the ad campaign in YYYY-MM-DD format.",
165 "default": "2025-01-01"
166 },
167 "maxItems": {
168 "title": "Maximum Items",
169 "minimum": 1,
170 "maximum": 50,
171 "type": "integer",
172 "description": "Maximum number of ads to scrape (up to 50).",
173 "default": 10
174 },
175 "proxyConfiguration": {
176 "title": "Proxy Configuration",
177 "type": "object",
178 "description": "Proxy settings for the scraper."
179 }
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206 },
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367 },
368 "KEY_VALUE_STORE_LISTS": {
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372 "REQUEST_QUEUE_READS": {
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390 "example": 0
391 },
392 "PROXY_SERPS": {
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395 }
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401 }
402 }
403 }
404}LinkedIn Ads Scraper for Clay 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 LinkedIn Ads Scraper for Clay 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:
Developer
scrapersforclayMaintained by Community
Actor Metrics
9 monthly users
-
4 stars
>99% runs succeeded
Created in Nov 2024
Modified a month ago
Categories
