Scrape post search

curl --request POST \
  --url https://app.gtm-api.com/linkedin/v4/api/linkedin-scraping/search-posts \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --header 'Team-SID: <api-key>' \
  --data '
{
  "linkedin_account_sid": "<string>",
  "idempotency_key": "<string>",
  "url": "<string>",
  "filters": {
    "keywords": "<string>",
    "content_type": [],
    "posted_by": [],
    "author_job_title": "<string>",
    "from_member": [
      "<string>"
    ],
    "from_organization": [
      "<string>"
    ],
    "author_company": [
      "<string>"
    ],
    "author_industry": [
      "<string>"
    ],
    "mentions_member": [
      "<string>"
    ],
    "mentions_organization": [
      "<string>"
    ]
  },
  "page_size": 50,
  "cursor": "<string>"
}
'

import requests

url = "https://app.gtm-api.com/linkedin/v4/api/linkedin-scraping/search-posts"

payload = {
    "linkedin_account_sid": "<string>",
    "idempotency_key": "<string>",
    "url": "<string>",
    "filters": {
        "keywords": "<string>",
        "content_type": [],
        "posted_by": [],
        "author_job_title": "<string>",
        "from_member": ["<string>"],
        "from_organization": ["<string>"],
        "author_company": ["<string>"],
        "author_industry": ["<string>"],
        "mentions_member": ["<string>"],
        "mentions_organization": ["<string>"]
    },
    "page_size": 50,
    "cursor": "<string>"
}
headers = {
    "Authorization": "Bearer <token>",
    "Team-SID": "<api-key>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {
    Authorization: 'Bearer <token>',
    'Team-SID': '<api-key>',
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    linkedin_account_sid: '<string>',
    idempotency_key: '<string>',
    url: '<string>',
    filters: {
      keywords: '<string>',
      content_type: [],
      posted_by: [],
      author_job_title: '<string>',
      from_member: ['<string>'],
      from_organization: ['<string>'],
      author_company: ['<string>'],
      author_industry: ['<string>'],
      mentions_member: ['<string>'],
      mentions_organization: ['<string>']
    },
    page_size: 50,
    cursor: '<string>'
  })
};

fetch('https://app.gtm-api.com/linkedin/v4/api/linkedin-scraping/search-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://app.gtm-api.com/linkedin/v4/api/linkedin-scraping/search-posts",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'linkedin_account_sid' => '<string>',
    'idempotency_key' => '<string>',
    'url' => '<string>',
    'filters' => [
        'keywords' => '<string>',
        'content_type' => [
                
        ],
        'posted_by' => [
                
        ],
        'author_job_title' => '<string>',
        'from_member' => [
                '<string>'
        ],
        'from_organization' => [
                '<string>'
        ],
        'author_company' => [
                '<string>'
        ],
        'author_industry' => [
                '<string>'
        ],
        'mentions_member' => [
                '<string>'
        ],
        'mentions_organization' => [
                '<string>'
        ]
    ],
    'page_size' => 50,
    'cursor' => '<string>'
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>",
    "Content-Type: application/json",
    "Team-SID: <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"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://app.gtm-api.com/linkedin/v4/api/linkedin-scraping/search-posts"

	payload := strings.NewReader("{\n  \"linkedin_account_sid\": \"<string>\",\n  \"idempotency_key\": \"<string>\",\n  \"url\": \"<string>\",\n  \"filters\": {\n    \"keywords\": \"<string>\",\n    \"content_type\": [],\n    \"posted_by\": [],\n    \"author_job_title\": \"<string>\",\n    \"from_member\": [\n      \"<string>\"\n    ],\n    \"from_organization\": [\n      \"<string>\"\n    ],\n    \"author_company\": [\n      \"<string>\"\n    ],\n    \"author_industry\": [\n      \"<string>\"\n    ],\n    \"mentions_member\": [\n      \"<string>\"\n    ],\n    \"mentions_organization\": [\n      \"<string>\"\n    ]\n  },\n  \"page_size\": 50,\n  \"cursor\": \"<string>\"\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Authorization", "Bearer <token>")
	req.Header.Add("Team-SID", "<api-key>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://app.gtm-api.com/linkedin/v4/api/linkedin-scraping/search-posts")
  .header("Authorization", "Bearer <token>")
  .header("Team-SID", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"linkedin_account_sid\": \"<string>\",\n  \"idempotency_key\": \"<string>\",\n  \"url\": \"<string>\",\n  \"filters\": {\n    \"keywords\": \"<string>\",\n    \"content_type\": [],\n    \"posted_by\": [],\n    \"author_job_title\": \"<string>\",\n    \"from_member\": [\n      \"<string>\"\n    ],\n    \"from_organization\": [\n      \"<string>\"\n    ],\n    \"author_company\": [\n      \"<string>\"\n    ],\n    \"author_industry\": [\n      \"<string>\"\n    ],\n    \"mentions_member\": [\n      \"<string>\"\n    ],\n    \"mentions_organization\": [\n      \"<string>\"\n    ]\n  },\n  \"page_size\": 50,\n  \"cursor\": \"<string>\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://app.gtm-api.com/linkedin/v4/api/linkedin-scraping/search-posts")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Team-SID"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"linkedin_account_sid\": \"<string>\",\n  \"idempotency_key\": \"<string>\",\n  \"url\": \"<string>\",\n  \"filters\": {\n    \"keywords\": \"<string>\",\n    \"content_type\": [],\n    \"posted_by\": [],\n    \"author_job_title\": \"<string>\",\n    \"from_member\": [\n      \"<string>\"\n    ],\n    \"from_organization\": [\n      \"<string>\"\n    ],\n    \"author_company\": [\n      \"<string>\"\n    ],\n    \"author_industry\": [\n      \"<string>\"\n    ],\n    \"mentions_member\": [\n      \"<string>\"\n    ],\n    \"mentions_organization\": [\n      \"<string>\"\n    ]\n  },\n  \"page_size\": 50,\n  \"cursor\": \"<string>\"\n}"

response = http.request(request)
puts response.read_body

{
  "success": true,
  "operation": "action",
  "action": "<string>",
  "item": "<unknown>",
  "result": {
    "rows": [
      {
        "post_ln_id": "<string>",
        "author_ln_member_id": "<string>",
        "author_ln_id": "<string>",
        "author_company_ln_id": "<string>",
        "author_nickname": "<string>",
        "author_full_name": "<string>",
        "author_headline": "<string>",
        "content": "<string>",
        "posted_at": "<string>",
        "reactions_count": 123,
        "comments_count": 123,
        "reshares_count": 123
      }
    ],
    "paging": {
      "page_size": 123,
      "next_cursor": "<string>",
      "has_more": true,
      "total": 123
    },
    "data_request": {}
  },
  "meta": {
    "trace_id": "<string>",
    "span_id": "<string>",
    "timestamp": "<string>",
    "duration_ms": 1,
    "debug_url": "<string>"
  }
}

{
  "success": false,
  "error": {
    "message": "<string>",
    "recoverable": true,
    "suggestion": "<string>",
    "field_errors": {},
    "blockers": [
      {
        "type": "<string>",
        "description": "<string>",
        "entity_sid": "<string>",
        "resolution": "<string>",
        "resolution_hint": "<string>",
        "count": 123
      }
    ],
    "context": {}
  },
  "meta": {
    "trace_id": "<string>",
    "span_id": "<string>",
    "timestamp": "<string>",
    "duration_ms": 1,
    "debug_url": "<string>"
  }
}

{
  "success": false,
  "error": {
    "message": "<string>",
    "recoverable": true,
    "suggestion": "<string>",
    "field_errors": {},
    "blockers": [
      {
        "type": "<string>",
        "description": "<string>",
        "entity_sid": "<string>",
        "resolution": "<string>",
        "resolution_hint": "<string>",
        "count": 123
      }
    ],
    "context": {}
  },
  "meta": {
    "trace_id": "<string>",
    "span_id": "<string>",
    "timestamp": "<string>",
    "duration_ms": 1,
    "debug_url": "<string>"
  }
}

linkedin_scraping

Scrape post search

LinkedIn content search: find POSTS by keywords, recency or author. The discovery front door for post-engagement plays (feed the returned post_ln_id into the commenters / reactors / resharers tools). Addressed EITHER by filters (keywords REQUIRED) OR by a pasted /search/results/content/ url, which the node parses back into the same filter object: exactly one of the two, never both, never neither. CURSOR paginated, unlike every other search here: feed paging.next_cursor back verbatim and size the page with page_size.

Contract:

MCP tool scrape_linkedin_search_posts, registry package mcp.linkedin/linkedin_scraping, mount linkedin.scraping.
Operation action, response envelope action.
Flags: none.

POST

api

linkedin-scraping

search-posts

Scrape post search

curl --request POST \
  --url https://app.gtm-api.com/linkedin/v4/api/linkedin-scraping/search-posts \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --header 'Team-SID: <api-key>' \
  --data '
{
  "linkedin_account_sid": "<string>",
  "idempotency_key": "<string>",
  "url": "<string>",
  "filters": {
    "keywords": "<string>",
    "content_type": [],
    "posted_by": [],
    "author_job_title": "<string>",
    "from_member": [
      "<string>"
    ],
    "from_organization": [
      "<string>"
    ],
    "author_company": [
      "<string>"
    ],
    "author_industry": [
      "<string>"
    ],
    "mentions_member": [
      "<string>"
    ],
    "mentions_organization": [
      "<string>"
    ]
  },
  "page_size": 50,
  "cursor": "<string>"
}
'

import requests

url = "https://app.gtm-api.com/linkedin/v4/api/linkedin-scraping/search-posts"

payload = {
    "linkedin_account_sid": "<string>",
    "idempotency_key": "<string>",
    "url": "<string>",
    "filters": {
        "keywords": "<string>",
        "content_type": [],
        "posted_by": [],
        "author_job_title": "<string>",
        "from_member": ["<string>"],
        "from_organization": ["<string>"],
        "author_company": ["<string>"],
        "author_industry": ["<string>"],
        "mentions_member": ["<string>"],
        "mentions_organization": ["<string>"]
    },
    "page_size": 50,
    "cursor": "<string>"
}
headers = {
    "Authorization": "Bearer <token>",
    "Team-SID": "<api-key>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {
    Authorization: 'Bearer <token>',
    'Team-SID': '<api-key>',
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    linkedin_account_sid: '<string>',
    idempotency_key: '<string>',
    url: '<string>',
    filters: {
      keywords: '<string>',
      content_type: [],
      posted_by: [],
      author_job_title: '<string>',
      from_member: ['<string>'],
      from_organization: ['<string>'],
      author_company: ['<string>'],
      author_industry: ['<string>'],
      mentions_member: ['<string>'],
      mentions_organization: ['<string>']
    },
    page_size: 50,
    cursor: '<string>'
  })
};

fetch('https://app.gtm-api.com/linkedin/v4/api/linkedin-scraping/search-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://app.gtm-api.com/linkedin/v4/api/linkedin-scraping/search-posts",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'linkedin_account_sid' => '<string>',
    'idempotency_key' => '<string>',
    'url' => '<string>',
    'filters' => [
        'keywords' => '<string>',
        'content_type' => [
                
        ],
        'posted_by' => [
                
        ],
        'author_job_title' => '<string>',
        'from_member' => [
                '<string>'
        ],
        'from_organization' => [
                '<string>'
        ],
        'author_company' => [
                '<string>'
        ],
        'author_industry' => [
                '<string>'
        ],
        'mentions_member' => [
                '<string>'
        ],
        'mentions_organization' => [
                '<string>'
        ]
    ],
    'page_size' => 50,
    'cursor' => '<string>'
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>",
    "Content-Type: application/json",
    "Team-SID: <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"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://app.gtm-api.com/linkedin/v4/api/linkedin-scraping/search-posts"

	payload := strings.NewReader("{\n  \"linkedin_account_sid\": \"<string>\",\n  \"idempotency_key\": \"<string>\",\n  \"url\": \"<string>\",\n  \"filters\": {\n    \"keywords\": \"<string>\",\n    \"content_type\": [],\n    \"posted_by\": [],\n    \"author_job_title\": \"<string>\",\n    \"from_member\": [\n      \"<string>\"\n    ],\n    \"from_organization\": [\n      \"<string>\"\n    ],\n    \"author_company\": [\n      \"<string>\"\n    ],\n    \"author_industry\": [\n      \"<string>\"\n    ],\n    \"mentions_member\": [\n      \"<string>\"\n    ],\n    \"mentions_organization\": [\n      \"<string>\"\n    ]\n  },\n  \"page_size\": 50,\n  \"cursor\": \"<string>\"\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Authorization", "Bearer <token>")
	req.Header.Add("Team-SID", "<api-key>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://app.gtm-api.com/linkedin/v4/api/linkedin-scraping/search-posts")
  .header("Authorization", "Bearer <token>")
  .header("Team-SID", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"linkedin_account_sid\": \"<string>\",\n  \"idempotency_key\": \"<string>\",\n  \"url\": \"<string>\",\n  \"filters\": {\n    \"keywords\": \"<string>\",\n    \"content_type\": [],\n    \"posted_by\": [],\n    \"author_job_title\": \"<string>\",\n    \"from_member\": [\n      \"<string>\"\n    ],\n    \"from_organization\": [\n      \"<string>\"\n    ],\n    \"author_company\": [\n      \"<string>\"\n    ],\n    \"author_industry\": [\n      \"<string>\"\n    ],\n    \"mentions_member\": [\n      \"<string>\"\n    ],\n    \"mentions_organization\": [\n      \"<string>\"\n    ]\n  },\n  \"page_size\": 50,\n  \"cursor\": \"<string>\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://app.gtm-api.com/linkedin/v4/api/linkedin-scraping/search-posts")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Team-SID"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"linkedin_account_sid\": \"<string>\",\n  \"idempotency_key\": \"<string>\",\n  \"url\": \"<string>\",\n  \"filters\": {\n    \"keywords\": \"<string>\",\n    \"content_type\": [],\n    \"posted_by\": [],\n    \"author_job_title\": \"<string>\",\n    \"from_member\": [\n      \"<string>\"\n    ],\n    \"from_organization\": [\n      \"<string>\"\n    ],\n    \"author_company\": [\n      \"<string>\"\n    ],\n    \"author_industry\": [\n      \"<string>\"\n    ],\n    \"mentions_member\": [\n      \"<string>\"\n    ],\n    \"mentions_organization\": [\n      \"<string>\"\n    ]\n  },\n  \"page_size\": 50,\n  \"cursor\": \"<string>\"\n}"

response = http.request(request)
puts response.read_body

{
  "success": true,
  "operation": "action",
  "action": "<string>",
  "item": "<unknown>",
  "result": {
    "rows": [
      {
        "post_ln_id": "<string>",
        "author_ln_member_id": "<string>",
        "author_ln_id": "<string>",
        "author_company_ln_id": "<string>",
        "author_nickname": "<string>",
        "author_full_name": "<string>",
        "author_headline": "<string>",
        "content": "<string>",
        "posted_at": "<string>",
        "reactions_count": 123,
        "comments_count": 123,
        "reshares_count": 123
      }
    ],
    "paging": {
      "page_size": 123,
      "next_cursor": "<string>",
      "has_more": true,
      "total": 123
    },
    "data_request": {}
  },
  "meta": {
    "trace_id": "<string>",
    "span_id": "<string>",
    "timestamp": "<string>",
    "duration_ms": 1,
    "debug_url": "<string>"
  }
}

{
  "success": false,
  "error": {
    "message": "<string>",
    "recoverable": true,
    "suggestion": "<string>",
    "field_errors": {},
    "blockers": [
      {
        "type": "<string>",
        "description": "<string>",
        "entity_sid": "<string>",
        "resolution": "<string>",
        "resolution_hint": "<string>",
        "count": 123
      }
    ],
    "context": {}
  },
  "meta": {
    "trace_id": "<string>",
    "span_id": "<string>",
    "timestamp": "<string>",
    "duration_ms": 1,
    "debug_url": "<string>"
  }
}

{
  "success": false,
  "error": {
    "message": "<string>",
    "recoverable": true,
    "suggestion": "<string>",
    "field_errors": {},
    "blockers": [
      {
        "type": "<string>",
        "description": "<string>",
        "entity_sid": "<string>",
        "resolution": "<string>",
        "resolution_hint": "<string>",
        "count": 123
      }
    ],
    "context": {}
  },
  "meta": {
    "trace_id": "<string>",
    "span_id": "<string>",
    "timestamp": "<string>",
    "duration_ms": 1,
    "debug_url": "<string>"
  }
}

Authorizations

Authorization

string

header

required

Access token issued by gtm.service.id. Its access_identity claim carries team_sid, actor_sid and actor_type, and that team scope is authoritative.

Team-SID

string

header

required

Team scope for tokens that do not carry one. Ignored when the token already names a team.

Body

application/json

Request body of scrape_linkedin_search_posts.

linkedin_account_sid

string | null

Executor account (ln_ac_...). OPTIONAL everywhere on this surface. Given: the call runs on that account ONLY; a saturated or held scraping bucket refuses 429 bucket_saturated (with retry_after). Omitted: the service auto-picks one of your connected accounts with remaining capacity (SN verbs pick only Sales-Navigator seats; 422 no_connected_accounts when none is ready, 429 when all are at capacity).

Required string length: 18

Pattern: ^ln_ac_

idempotency_key

string | null

Ledger replay guard: a repeat call with the same (team, key) returns the stored outcome; no re-execution. Recommended on every search run. The KEY ALONE decides: the probe does not compare arguments, so reusing one key after changing the arguments hands back the FIRST result. On the twelve search verbs that matters twice over, because switching a call from filters to url (or back) under one key replays instead of running the new search. New search, new key.

Maximum string length: 128

url

string | null

EXCLUSIVE with filters: send url OR filters, never both (422) and never neither (422). A search URL built in the LinkedIn UI, and the escape hatch for everything the filter vocabulary cannot express. MUST start with https://www.linkedin.com/search/results/content/ : a URL from another LinkedIn search screen is refused here and again by the backend (422 invalid_search_url), because running it would silently scrape the wrong thing.

Maximum string length: 2048

Pattern: ^https:\/\/www\.linkedin\.com\/search\/results\/content\/

filters

object | null

EXCLUSIVE with url: send filters OR url, never both (422) and never neither (422). Content-search filters; keywords required.

Show child attributes

page_size

integer | null

Rows per page (1..100); default 10.

Required range: 1 <= x <= 100

cursor

string | null

Opaque resume token from paging.next_cursor; null/omitted = first page.

Maximum string length: 2048

Response

action success envelope.

success

enum<boolean>

required

Available options:

true

operation

enum<string>

required

Available options:

action

action

string

required

kebab-case verb; matches the route segment.

item

any

required

result

object

required

Show child attributes

Overview

LinkedIn API

ID and Teams API

Orchestration API

Scrape post search

Authorizations

Body

Response