Linkedin Profile Detail Scraper avatar
Linkedin Profile Detail Scraper

Pricing

$20.00/month + usage

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Linkedin Profile Detail Scraper

Linkedin Profile Detail Scraper

Developed by

bhansalisoft

bhansalisoft

Maintained by Community

Linkedin Profile Detail Scraper - Extract full LinkedIn profile details including company info, certifications, education, and skills—quick, accurate, and exportable

0.0 (0)

Pricing

$20.00/month + usage

0

Total users

1

Monthly users

1

Last modified

a day ago

You can access the Linkedin Profile Detail 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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"components": {
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"required": [
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],
"properties": {
"Linkedin_Profile_ID": {
"title": "Linkedin UserName List Comma seperated",
"type": "array",
"description": "Linkedin UserName List Comma seperated which you want to follow"
},
"Linkedin_cookie": {
"title": "Linkedin Cookie : Please check product information page for get cookie",
"type": "array",
"description": "Insert your Linkedin cookie here.Please check product information page for get cookie"
},
"Delay": {
"title": "Delay on Every Requet in second",
"type": "string",
"description": "Delay on Every Requet in second will add extra on every request ,we already have rendom delay 5-10 second.."
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"proxySettings": {
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"userId": {
"type": "string"
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"type": "string",
"format": "date-time",
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"example": "READY"
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"meta": {
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"properties": {
"origin": {
"type": "string",
"example": "API"
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"userAgent": {
"type": "string"
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}
},
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"resurrectCount": {
"type": "integer",
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"computeUnits": {
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"options": {
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"properties": {
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"type": "integer",
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"type": "integer",
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"type": "number",
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"KEY_VALUE_STORE_LISTS": {
"type": "integer",
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},
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Linkedin Profile Detail 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 Linkedin Profile Detail 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: