# Search companies (standard)

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

**POST** `https://api.up2data.ai/v1/search/companies/standard`

**Credits:** 1 credit per page (up to 25 results) - **Mode:** 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](https://up2data.ai/docs/v1/api/companies-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](https://up2data.ai/docs/v1/api/search-companies/).

> **Info:** Counts as 1 request against the 5,000/min per-key limit and 1 search against the 5,000/hour per-organization search quota. See [Rate limits](https://up2data.ai/docs/v1/guides/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](https://up2data.ai/docs/v1/api/batch-create/).

## 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**

```bash
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**

```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**

```javascript
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);
```

**Go**

```go
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**

```json
{
  "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 5,000 requests/min limit, or the 5,000 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](https://up2data.ai/docs/v1/guides/errors/) for every error type this version can return.