Get Profile Data, Connection & Follower Count and Posts
curl --request GET \
--url https://api.agntdata.dev/v1/data/linkedin/profile-data-connection-count-posts \
--header 'Authorization: <api-key>'import requests
url = "https://api.agntdata.dev/v1/data/linkedin/profile-data-connection-count-posts"
headers = {"Authorization": "<api-key>"}
response = requests.get(url, headers=headers)
print(response.text)const options = {method: 'GET', headers: {Authorization: '<api-key>'}};
fetch('https://api.agntdata.dev/v1/data/linkedin/profile-data-connection-count-posts', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api.agntdata.dev/v1/data/linkedin/profile-data-connection-count-posts",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "GET",
CURLOPT_HTTPHEADER => [
"Authorization: <api-key>"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"net/http"
"io"
)
func main() {
url := "https://api.agntdata.dev/v1/data/linkedin/profile-data-connection-count-posts"
req, _ := http.NewRequest("GET", url, nil)
req.Header.Add("Authorization", "<api-key>")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.get("https://api.agntdata.dev/v1/data/linkedin/profile-data-connection-count-posts")
.header("Authorization", "<api-key>")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.agntdata.dev/v1/data/linkedin/profile-data-connection-count-posts")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Get.new(url)
request["Authorization"] = '<api-key>'
response = http.request(request)
puts response.read_body{
"connection": 1875,
"data": {
"id": 11848598,
"urn": "ACoAAAC0y5YB1d3L356Yaf3g3Tb5PR4O7scFb5o",
"username": "adamselipsky",
"firstName": "Adam",
"lastName": "Selipsky",
"isTopVoice": true,
"isCreator": true,
"profilePicture": "https://media.licdn.com/dms/image/v2/D5603AQGZJ-njdtv_-g/profile-displayphoto-shrink_800_800/profile-displayphoto-shrink_800_800/0/1719507065641?e=1744243200&v=beta&t=F1lrGVXgvGFwYox97ItepajjqHbHX79hoMPhJHALsYQ",
"backgroundImage": [
{
"width": 266,
"height": 200,
"url": "https://media.licdn.com/dms/image/v2/D5616AQEetlwRti-pwA/profile-displaybackgroundimage-shrink_200_800/profile-displaybackgroundimage-shrink_200_800/0/1719506391020?e=1744243200&v=beta&t=RPAYaKgRKM21wjerNkEyid8_8NbcwX75BHKrTtR_W7Q"
},
{
"width": 466,
"height": 350,
"url": "https://media.licdn.com/dms/image/v2/D5616AQEetlwRti-pwA/profile-displaybackgroundimage-shrink_350_1400/profile-displaybackgroundimage-shrink_350_1400/0/1719506391020?e=1744243200&v=beta&t=W61mghjLzU1yw6DEa-cjPLchmAKKOTXW3v9pI-1AZcw"
}
],
"summary": "Adam Selipsky is the CEO of Amazon Web Services (AWS), the world’s most comprehensive and broadly adopted cloud platform. Having previously led AWS marketing, sales, and support for 11 years, from 2005-2016, Selipsky helped launch and grow AWS from a start-up into a multi-billion dollar business. Prior to rejoining AWS in 2021, Selipsky was most recently President and CEO of Tableau Software. He led Tableau through its acquisition by Salesforce, in what was the third largest software industry acquisition at the time. ",
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"geo": {
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"city": "Greater Seattle Area",
"full": "Greater Seattle Area",
"countryCode": "us"
},
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"text": "Thanks for the conversation, Todd Bishop. Coming back to lead Amazon Web Services (AWS) was an incredible opportunity. I’m so proud of the team, all the capabilities we developed for customers, and the business milestones achieved. AWS is better positioned than anyone to expand possibilities for customers going forward. Leaving things in good hands with Matt Garman and the team.",
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"text": "Our thoughts are with everyone in Rio Grande do Sul, Brazil impacted by the devastating flooding. We’ve activated our AWS Disaster Response team in the region. They’re working with Help.NGO to capture high-resolution aerial images of flooded areas in order to support rescue operations. We’re also helping monitor equipment and personnel to keep first responders safe and coordinated. https://lnkd.in/gp6U9XhN",
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"text": "Amazon Web Services (AWS) is investing an additional $9 billion (SG$12B) into our cloud computing infrastructure in Singapore. \n\nOur investments are expected to support over 12K jobs a year, and contribute $17.6 billion (SG$23.7B) to Singapore’s GDP by 2028. We also announced a new flagship AI program in collaboration with the Singapore Government and government agencies to help enterprises, startups, and communities accelerate their adoption of AI & generative AI. \n\nThe program will support AI research and development, and includes a series of AI and professional certification programs to train 5,000 people a year on AI skills over the next three years. https://lnkd.in/gyrf_BPj",
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"text": "Excited to see Forbes highlight the first cohort of startups in our new Compute for Climate Fellowship. https://lnkd.in/gEyFehgU\n\nThis program provides funding and cloud resources to help founders who are using high performance computing and generative AI to address climate change. We are proud to support innovators like Realta Fusion, a pioneering startup developing compact fusion energy systems to decarbonize industrial heat and power. \n\nWith Amazon Web Services (AWS) cloud credits and access to interconnected CPUs/GPUs, Realta can run crucial simulations at unprecedented speed—work that would require supercomputing resources that are typically limited and have long waitlists.",
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"text": "🚀 Today, we are thrilled to share that Amazon Q is now generally available.\n\n◼ Amazon Q is the most capable generative AI-powered assistant for accelerating software development and leveraging companies’ internal data. It eliminates tedious work for developers and employees across organizations.\n\n◼ Q helps to test, debug and write code, and has the highest reported code acceptance rates in the industry, for assistants that perform multi-line code suggestions. BT Group recently reported they accepted 37% of Q’s code suggestions and National Australia Bank reported a 50% acceptance rate.\n\n◼ Amazon Q Developer Agents can autonomously perform a range of tasks—everything from implementing features, documenting, and refactoring code, to performing software upgrades. Developers can ask Amazon Q to implement an application feature, and the agent will analyze their existing application code and generate a step-by-step implementation plan.\n\n◼ Amazon Q's capabilities extend beyond coding. It also allows employees to easily get insight from their company's internal data that is spread across multiple documents, systems, and applications. Q connects all these siloed sources and can answer questions, provide summaries, analyze trends, and generate content.\n\n◼ We're also introducing Q Apps, a powerful new way for anyone to create generative AI apps based on their organization's data—no prior coding experience required. Simply describe the app you need in natural language, and Q Apps will build it for you. This unlocks endless possibilities for teams to automate workflows and daily tasks.\n\nCustomers across industries are using Amazon Q to transform the way they work. I'm incredibly excited to see what Q can do for you. https://lnkd.in/gd2cBVCi",
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"text": "Just wrapping an incredible trip to France and the UK where I spent invaluable time with enterprise customers, startups, and our amazing employees, who are getting ready for what promises to be a great London Summit next week. \n\nWith generative AI, companies are unleashing innovation in ways unheard of before, and more and more customers are trusting Amazon Web Services (AWS) to power their AI journey. That’s a responsibility we don’t take lightly. \n\nGreat British brands like BT Group and The Very Group are making huge productivity and customer service innovations & improvements using Amazon Bedrock and Amazon SageMaker. \n\nIn France, with its rich engineering heritage, you can feel the buzz of excitement that generative AI is creating, from amazing French startups pioneering LLM innovation like Hugging Face and Mistral AI, to French unicorns like Owkin using our AWS solutions to help drive changes in disease detection and treatment. \n\nThat buzz is infectious, France’s biggest companies like AXA are paving the way in how they use GenAI to transform their businesses. And anyone going to Paris for this year’s Olympics should look at the generative AI-powered customized travel experiences AWS customers like Accor and Lonely Planet can deliver. \n\nSeeing our team’s passion for AI and hearing from customers and partners about the material difference AWS is making to their businesses is all the reason I need to come back.",
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"text": "Always a thrill to see customer results like this. Perplexity is a pioneering generative AI startup that’s reimagining the future of search (catch their app in action below). \n\nThey accelerated their foundation model training up to 40% using Amazon SageMaker HyperPod. And by deploying models on our best-in-class infrastructure, they’re able to handle over 100k queries per hour without compromising latency or the user experience. \n\nProud to support innovators like Perplexity in pushing the boundaries of AI. Happy searching! https://lnkd.in/gJEr5_Wf",
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"text": "We just announced the launch of the #AWS Generative AI Competency. \n\nIt’s a program to help customers quickly adopt generative AI with our partners that have been technically validated by our AWS Partner Organization. \n\nLeveraging technologies such as Amazon Bedrock, Amazon Q, and Amazon SageMaker JumpStart, these partners have deep expertise building and deploying groundbreaking applications across industries. \n\nOur AWS Competency Partners will make it easier than ever for customers to innovate with enterprise-grade security and privacy, choice of foundation models, generative AI applications, and a high-performance, low-cost infrastructure. https://lnkd.in/gsGcz6UC",
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"text": "Great work by the team for this recognition as a Leader in the Gartner Magic Quadrant for Cloud Database Management Systems, which shows #AWS’s ability to provide a comprehensive set of services for your data foundation across all workloads, use cases, and data types. \n\nAmazon Web Services (AWS) offers a broad set of database engines so you can choose the right tool for the job. Our breadth of choice and price-performance enable you to address your demanding data challenges—fully managed, secure, and highly available in the cloud. \n\nMillions of customers choose AWS to solve some of the most complex data problems in the world. Read about our commitment to operational excellence and innovation. https://lnkd.in/gpBqwZ4v",
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"postedDateTimestamp": 1707491576673,
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"text": "Amazon is joining the U.S. Artificial Intelligence Safety Institute Consortium to advance safe and secure AI. \n\nWe believe ongoing cooperation between government and industry will be key in addressing the unique challenges posed by evolving technologies like generative AI. \n\nAmazon will contribute compute credits to help develop tools to evaluate AI safety and help the institute set an interoperable and trusted foundation for responsible AI development and use. \n\nWe look forward to partnering with the National Institute of Standards and Technology (NIST) and others to improve AI safety and security for our customers and communities.",
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"text": "The National Football League (NFL) is teaming up with Amazon Web Services (AWS) to take player health and safety to the next level. \n\nUsing AI and machine learning, they are creating a precise picture of each player in training, practice, and games. Teams will get a better idea of what their players need to stay healthy, recover quickly, and optimize performance. \n\nVery cool to see this technology in action, especially with the Super Bowl coming up on Sunday! 🏈 Jennifer Langton, MBA",
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"title": "How NFL's 'digital athlete' aims to prevent future injuries | Fox Business Video",
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"text": "I find that people are usually curious about the Amazon Leadership Principles and how we use them as an operating system to shape company culture and decision making.\n\nOver the weekend, I had the opportunity to attend the annual Harvard Business School Tech Conference, and share some thoughts with students and fellow alumnus, Bharat Anand.\n\nWe talked about how Amazon’s culture shapes everything we do, from security leadership, to operational excellence, to innovation in #generativeAI.\n\nLeadership Principles such as Customer Obsession, Invent and Simplify, and Insist on the Highest Standards guide how we act across the company. Thank you to HBS for having me at this year’s conference, and for the great conversation.",
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}Profile APIs
Get Profile Data, Connection & Follower Count and Posts
Get Profile Data, Connection & Follower Count and Posts. 2 credits per call
GET
/
v1
/
data
/
linkedin
/
profile-data-connection-count-posts
Get Profile Data, Connection & Follower Count and Posts
curl --request GET \
--url https://api.agntdata.dev/v1/data/linkedin/profile-data-connection-count-posts \
--header 'Authorization: <api-key>'import requests
url = "https://api.agntdata.dev/v1/data/linkedin/profile-data-connection-count-posts"
headers = {"Authorization": "<api-key>"}
response = requests.get(url, headers=headers)
print(response.text)const options = {method: 'GET', headers: {Authorization: '<api-key>'}};
fetch('https://api.agntdata.dev/v1/data/linkedin/profile-data-connection-count-posts', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api.agntdata.dev/v1/data/linkedin/profile-data-connection-count-posts",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "GET",
CURLOPT_HTTPHEADER => [
"Authorization: <api-key>"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"net/http"
"io"
)
func main() {
url := "https://api.agntdata.dev/v1/data/linkedin/profile-data-connection-count-posts"
req, _ := http.NewRequest("GET", url, nil)
req.Header.Add("Authorization", "<api-key>")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.get("https://api.agntdata.dev/v1/data/linkedin/profile-data-connection-count-posts")
.header("Authorization", "<api-key>")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.agntdata.dev/v1/data/linkedin/profile-data-connection-count-posts")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Get.new(url)
request["Authorization"] = '<api-key>'
response = http.request(request)
puts response.read_body{
"connection": 1875,
"data": {
"id": 11848598,
"urn": "ACoAAAC0y5YB1d3L356Yaf3g3Tb5PR4O7scFb5o",
"username": "adamselipsky",
"firstName": "Adam",
"lastName": "Selipsky",
"isTopVoice": true,
"isCreator": true,
"profilePicture": "https://media.licdn.com/dms/image/v2/D5603AQGZJ-njdtv_-g/profile-displayphoto-shrink_800_800/profile-displayphoto-shrink_800_800/0/1719507065641?e=1744243200&v=beta&t=F1lrGVXgvGFwYox97ItepajjqHbHX79hoMPhJHALsYQ",
"backgroundImage": [
{
"width": 266,
"height": 200,
"url": "https://media.licdn.com/dms/image/v2/D5616AQEetlwRti-pwA/profile-displaybackgroundimage-shrink_200_800/profile-displaybackgroundimage-shrink_200_800/0/1719506391020?e=1744243200&v=beta&t=RPAYaKgRKM21wjerNkEyid8_8NbcwX75BHKrTtR_W7Q"
},
{
"width": 466,
"height": 350,
"url": "https://media.licdn.com/dms/image/v2/D5616AQEetlwRti-pwA/profile-displaybackgroundimage-shrink_350_1400/profile-displaybackgroundimage-shrink_350_1400/0/1719506391020?e=1744243200&v=beta&t=W61mghjLzU1yw6DEa-cjPLchmAKKOTXW3v9pI-1AZcw"
}
],
"summary": "Adam Selipsky is the CEO of Amazon Web Services (AWS), the world’s most comprehensive and broadly adopted cloud platform. Having previously led AWS marketing, sales, and support for 11 years, from 2005-2016, Selipsky helped launch and grow AWS from a start-up into a multi-billion dollar business. Prior to rejoining AWS in 2021, Selipsky was most recently President and CEO of Tableau Software. He led Tableau through its acquisition by Salesforce, in what was the third largest software industry acquisition at the time. ",
"headline": "Former CEO at Amazon Web Services (AWS). Former President and CEO at Tableau. ",
"geo": {
"country": "United States",
"city": "Greater Seattle Area",
"full": "Greater Seattle Area",
"countryCode": "us"
},
"educations": [
{
"start": {
"year": 0,
"month": 0,
"day": 0
},
"end": {
"year": 0,
"month": 0,
"day": 0
},
"fieldOfStudy": "",
"degree": "MBA",
"grade": "",
"schoolName": "Harvard Business School",
"description": "",
"activities": "",
"url": "https://www.linkedin.com/school/harvard-business-school/",
"schoolId": "4867",
"logo": [
{
"url": "https://media.licdn.com/dms/image/v2/C4D0BAQF_DkXTlZVo1w/company-logo_200_200/company-logo_200_200/0/1639781479259/harvard_business_school_logo?e=1747267200&v=beta&t=GK-OoFalgpzYMBauWeHzlOm2nQedmPD1E0B0QmUHJr4",
"width": 200,
"height": 200
},
{
"url": "https://media.licdn.com/dms/image/v2/C4D0BAQF_DkXTlZVo1w/company-logo_100_100/company-logo_100_100/0/1639781479259/harvard_business_school_logo?e=1747267200&v=beta&t=tyCEvsurX9EcV5NYApLbTb9ubEdJRMi0oJa6eR2PAUg",
"width": 100,
"height": 100
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"text": "Every year, the National Football League (NFL) has the task of sorting through over 1,000,000,000,000,000 (yes, one quadrillion!) schedule possibilities for the upcoming season. \n\nBefore being #PoweredByAWS, the NFL used a manual, white-boarding process which produced only a few potential schedule options per season. Now they’re able to run over one thousand schedule variations a day. And by using Amazon EC2 Spot Instances, the NFL saves $2 million each season. \n\nMy ideal Week 1 schedule has the Seattle Seahawks starting the season off strong and winning against the San Francisco 49ers. Check out ScheduleShowdown.com to create your ideal week 1 matchups.",
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"text": "Today, we're announcing major new updates for Amazon Bedrock that give customers unparalleled flexibility, choice, and security when developing advanced generative AI apps. \n\nOne I’m especially excited about is the Custom Model Import capability, which allows customers to bring their own models to Amazon Bedrock's secure, managed environment. This promises to unlock new possibilities across industries, as customers can seamlessly access their custom model, like any other on Bedrock, and get all the same powerful capabilities—without having to manage the underlying infrastructure themselves. \n\nA couple other new updates to share:\n\n🔵 Our model evaluation capability is now generally available, making it simple to analyze, compare, and select the best foundation model for your use case. \n🔵 Also available today, Guardrails for Amazon Bedrock—which offers industry-leading safety protection, helping customers block harmful content, profanity, personal information and more, out-performing all other services available today. \n🔵 Finally, Amazon Bedrock already offers the widest choice of fully managed FMs, and is expanding even further with Amazon Titan Text Embeddings V2, the GA of Titan Image Generator, and new models from Meta with Cohere’s latest models coming soon.\n \nTens of thousands of customers are innovating quickly with Amazon Bedrock. Two such examples: United Airlines modernized its Passenger Service System, making customer support more efficient. The NYSE is using Bedrock across several use cases, including the processing of thousands of pages of regulations to provide answers in easy-to-understand language. \n\nWe know there will be many more success stories like these as we continue to expand Amazon Bedrock, and make it the easiest and fastest way to build and scale secure GenAI applications.\nhttps://lnkd.in/gCkub574",
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"text": "When you open that next order from Amazon, check out the packaging. An AI model powered by the AWS cloud likely played a key role in picking the most efficient packaging option for your purchase. \n\nBehind the scenes at our operations sites, our Package Decision Engine uses natural language processing and text-based data from each item Amazon sells, along with computer vision pictures that provide product dimensions. \n\nAll that info helps the model predict the more sustainable packaging to use while still protecting the items. As we expand this innovation globally, the Package Decision Engine will help Amazon avoid excess packaging in more places than ever before. https://lnkd.in/gtKVvEpc",
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"text": "Always a thrill to see customer results like this. Perplexity is a pioneering generative AI startup that’s reimagining the future of search (catch their app in action below). \n\nThey accelerated their foundation model training up to 40% using Amazon SageMaker HyperPod. And by deploying models on our best-in-class infrastructure, they’re able to handle over 100k queries per hour without compromising latency or the user experience. \n\nProud to support innovators like Perplexity in pushing the boundaries of AI. Happy searching! https://lnkd.in/gJEr5_Wf",
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"text": "Amazon is joining the U.S. Artificial Intelligence Safety Institute Consortium to advance safe and secure AI. \n\nWe believe ongoing cooperation between government and industry will be key in addressing the unique challenges posed by evolving technologies like generative AI. \n\nAmazon will contribute compute credits to help develop tools to evaluate AI safety and help the institute set an interoperable and trusted foundation for responsible AI development and use. \n\nWe look forward to partnering with the National Institute of Standards and Technology (NIST) and others to improve AI safety and security for our customers and communities.",
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"text": "I find that people are usually curious about the Amazon Leadership Principles and how we use them as an operating system to shape company culture and decision making.\n\nOver the weekend, I had the opportunity to attend the annual Harvard Business School Tech Conference, and share some thoughts with students and fellow alumnus, Bharat Anand.\n\nWe talked about how Amazon’s culture shapes everything we do, from security leadership, to operational excellence, to innovation in #generativeAI.\n\nLeadership Principles such as Customer Obsession, Invent and Simplify, and Insist on the Highest Standards guide how we act across the company. Thank you to HBS for having me at this year’s conference, and for the great conversation.",
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}Authorizations
Bearer token. Pass your agntdata API key as: Authorization: Bearer agnt_live_...
Query Parameters
⌘I