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": {
"code": "validation_failed",
"message": "<string>",
"recoverable": true,
"suggestion": "<string>",
"field_errors": {},
"blockers": [
{
"type": "<string>",
"severity": "hard",
"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": {
"code": "validation_failed",
"message": "<string>",
"recoverable": true,
"suggestion": "<string>",
"field_errors": {},
"blockers": [
{
"type": "<string>",
"severity": "hard",
"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 packagemcp.linkedin/linkedin_scraping, mountlinkedin.scraping. - Operation
action, response envelopeaction. - 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": {
"code": "validation_failed",
"message": "<string>",
"recoverable": true,
"suggestion": "<string>",
"field_errors": {},
"blockers": [
{
"type": "<string>",
"severity": "hard",
"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": {
"code": "validation_failed",
"message": "<string>",
"recoverable": true,
"suggestion": "<string>",
"field_errors": {},
"blockers": [
{
"type": "<string>",
"severity": "hard",
"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
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 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.
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:
18Pattern:
^ln_ac_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:
128EXCLUSIVE 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:
2048Pattern:
^https:\/\/www\.linkedin\.com\/search\/results\/content\/EXCLUSIVE with url: send filters OR url, never both (422) and never neither (422). Content-search filters; keywords required.
Show child attributes
Show child attributes
Rows per page (1..100); default 10.
Required range:
1 <= x <= 100Opaque resume token from paging.next_cursor; null/omitted = first page.
Maximum string length:
2048Response
action success envelope.