Install the Up2Data skill

Teach Claude Code to integrate the Up2Data API. Installs once, then loads automatically whenever you ask it about Up2Data.

Run this in your terminal

bash

mkdir -p ~/.claude/skills/up2data-api && curl -fsSL https://up2data.ai/docs/v1/skill.md -o ~/.claude/skills/up2data-api/SKILL.md

Restart Claude CodeSo it picks up the new skill.
Try it"Enrich these LinkedIn profiles with Up2Data and send results to my webhook"

Requires Claude Code. macOS, Linux, or WSL.

Prefer to read it first? View the skill file

Search companies (standard)

Company search on LinkedIn's regular search, not Sales Navigator.

POSThttps://api.up2data.ai/v1/search/companies/standard

1 credit per page (up to 25 results)synchronous

Pass structured filters; at least one is required. Industry and location take LinkedIn IDs. meta.resolved_search_url is the equivalent LinkedIn search URL. A single call returns at most 100 results (pagination.has_more is true when more exist). Empty pages are free. For the full company record, pipe results[].url into company enrich or a batch.

Warning

An Up2Data extension, not part of the up2data-compatible surface. company_types has no equivalent in LinkedIn company search and answers 400 here, as it does on Search companies.

Info

Counts as 1 request against the 300/min per-key limit and 1 search against the 20/hour per-organization search quota. See Rate limits.

Info

Send many as batch operation items (operation search.companies.standard); up to 1,000 results per item, 1 credit per 25-row page. See the batch endpoint.

#Request

Field	Type	Notes
`filters`required	`object`	At least one filter.
`filters.keywords`	`string`
`filters.industry_ids`	`FacetId[]`	Bare id string, or { id, text }.
`filters.location_ids`	`FacetId[]`	HQ geography ids.
`filters.company_sizes`	`string[]`	Enum per item: self-employed, 1-10, 11-50, 51-200, 201-500, 501-1000, 1001-5000, 5001-10000, 10001+.
`max_results`	`integer`	Default 25. 1 to 1,000; a sync call returns at most 100 results.

#Call it

cURL

curl -X POST "https://api.up2data.ai/v1/search/companies/standard" \
  -H "X-API-Key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "filters": {
    "keywords": "fintech",
    "company_sizes": [
      "51-200"
    ],
    "industry_ids": [
      "4"
    ]
  },
  "max_results": 25
}'

Python

import requests

url = "https://api.up2data.ai/v1/search/companies/standard"
headers = {
    "X-API-Key": "YOUR_API_KEY",
    "Content-Type": "application/json",
}
payload = {
    "filters": {
        "keywords": "fintech",
        "company_sizes": [
            "51-200"
        ],
        "industry_ids": [
            "4"
        ]
    },
    "max_results": 25
}

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

Node

const url = "https://api.up2data.ai/v1/search/companies/standard";
const headers = {
  "X-API-Key": "YOUR_API_KEY",
  "Content-Type": "application/json",
};
const body = {
  "filters": {
    "keywords": "fintech",
    "company_sizes": [
      "51-200"
    ],
    "industry_ids": [
      "4"
    ]
  },
  "max_results": 25
};

const response = await fetch(url, {
  method: "POST",
  headers,
  body: JSON.stringify(body),
});
const data = await response.json();
console.log(data);

package main

import (
	"bytes"
	"fmt"
	"io"
	"net/http"
)

func main() {
	url := "https://api.up2data.ai/v1/search/companies/standard"
	body := bytes.NewBufferString(`{
  "filters": {
    "keywords": "fintech",
    "company_sizes": [
      "51-200"
    ],
    "industry_ids": [
      "4"
    ]
  },
  "max_results": 25
}`)
	req, err := http.NewRequest("POST", url, body)
	if err != nil {
		panic(err)
	}
	req.Header.Set("X-API-Key", "YOUR_API_KEY")
	req.Header.Set("Content-Type", "application/json")

	client := &http.Client{}
	resp, err := client.Do(req)
	if err != nil {
		panic(err)
	}
	defer resp.Body.Close()

	respBody, _ := io.ReadAll(resp.Body)
	fmt.Println(string(respBody))
}

#Response

200

{
  "data": {
    "results": [{
      "url": "https://www.linkedin.com/company/pharos-production-web3-software-development",
      "name": "Pharos Production",
      "linkedin_id": "9226307",
      "industry": "Software Development",
      "description": "Custom AI, FinTech, Web3 and enterprise software | 110+ apps since 2013 | 5/5 on Clutch",
      "hq": { "city": "Las Vegas", "region": "Nevada" },
      "scraped_at": "2026-09-25T21:52:56.000Z",
      "logo_url": "https://media.licdn.com/dms/image/v2/D4D0BAQExample/company-logo_100_100/0/pharos_production_logo"
    }],
    "pagination": { "returned": 16, "max_results": 25, "pages_scraped": 1, "has_more": false }
  },
  "meta": { "creditsUsed": 1, "creditsRemaining": 98418, "billed": true, "reason": "success", "requestId": "req_example", "latencyMs": 3100, "resolved_search_url": "https://www.linkedin.com/search/results/companies/?origin=FACETED_SEARCH&keywords=fintech&industryCompanyVertical=%5B%224%22%5D&companySize=%5B%22D%22%5D" }
}

#Errors

Status	Type	When	Billed
400	`invalid_request`	Missing or empty filters, unknown or unsupported filter, or a bad company_sizes value.	No
401	`invalid_api_key`	Missing, malformed, or revoked key.	No
402	`insufficient_credits`	Balance can't cover the page(s) requested.	No
429	`rate_limited`	Over the 300 requests/min limit, or the 20 searches/hour per-organization quota. Honor Retry-After.	No
500	`upstream_error`	LinkedIn rejected the search query, or something broke on the server side.	No
504	`upstream_timeout`	The live scrape didn't complete in time.	No

See the Errors guide for every error type this version can return.