# Search people (standard)

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

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

**Credits:** 1 credit per page (up to 25 results) - **Mode:** synchronous

Pass structured `filters`; at least one is required. Filters combine with AND, and several values inside one filter match any of them. Company, past company, industry, geo, and school filters take LinkedIn IDs; `company_urls` and `locations` take URLs and place names and are resolved to IDs for you. Seniority is matched on job titles (for example `vp` matches VP, Vice President, and SVP). A single call returns at most 100 results (`pagination.has_more` is true when more exist). Empty pages are free.

> **Warning:** An Up2Data extension, not part of the up2data-compatible surface. Results carry the headline, vanity URL, and member URN that regular search shows. `function_ids`, `company_sizes`, `past_titles`, the `years_*` filters, `posted_on_linkedin`, and `recently_changed_jobs` have no equivalent in regular LinkedIn search and answer 400 here; use [Search people](https://up2data.ai/docs/v1/api/search-people/) for those.

> **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.people.standard); up to 2,500 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` | Free text matched anywhere on the profile. |
| `filters.titles` | `string[]` | Matched against current titles. |
| `filters.seniorities` | `string[]` | Enum per item: owner, partner, cxo, vp, director, manager, senior, entry. titles and seniorities together allow at most 6 values. |
| `filters.company_ids` | `FacetId[]` | Current company. Bare id string, or { id, text }. |
| `filters.company_urls` | `string[]` | Current company by page URL or slug. An unknown company answers 400. |
| `filters.past_company_ids` | `FacetId[]` |  |
| `filters.industry_ids` | `FacetId[]` |  |
| `filters.location_ids` | `FacetId[]` | LinkedIn geo ids. |
| `filters.locations` | `string[]` | Place names, e.g. United States or London. An unknown place answers 400. |
| `filters.school_ids` | `FacetId[]` |  |
| `filters.first_name` | `string` |  |
| `filters.last_name` | `string` |  |
| `max_results` | `integer` | Default 25. 1 to 2,500; a sync call returns at most 100 results. |

## Call it

**cURL**

```bash
curl -X POST "https://api.up2data.ai/v1/search/people/standard" \
  -H "X-API-Key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "filters": {
    "titles": [
      "CTO"
    ],
    "keywords": "kubernetes",
    "locations": [
      "United States"
    ]
  },
  "max_results": 25
}'
```

**Python**

```python
import requests

url = "https://api.up2data.ai/v1/search/people/standard"
headers = {
    "X-API-Key": "YOUR_API_KEY",
    "Content-Type": "application/json",
}
payload = {
    "filters": {
        "titles": [
            "CTO"
        ],
        "keywords": "kubernetes",
        "locations": [
            "United States"
        ]
    },
    "max_results": 25
}

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

**Node**

```javascript
const url = "https://api.up2data.ai/v1/search/people/standard";
const headers = {
  "X-API-Key": "YOUR_API_KEY",
  "Content-Type": "application/json",
};
const body = {
  "filters": {
    "titles": [
      "CTO"
    ],
    "keywords": "kubernetes",
    "locations": [
      "United States"
    ]
  },
  "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/people/standard"
	body := bytes.NewBufferString(`{
  "filters": {
    "titles": [
      "CTO"
    ],
    "keywords": "kubernetes",
    "locations": [
      "United States"
    ]
  },
  "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/in/thmeyer",
      "public_identifier": "thmeyer",
      "linkedin_id": "16113090",
      "urn": "ACoAAAD13cIBbJUHDIuBAw-cS8NSsTdXj2fAYtc",
      "full_name": "Thomas Meyer",
      "headline": "CTO / Software Architect at Inalp",
      "profile_picture_url": "https://media.licdn.com/dms/image/v2/D4E03AQExample/profile-displayphoto-shrink_100_100/0/thmeyer",
      "location": { "city": "Greater Bern Area" },
      "scraped_at": "2026-09-25T21:52:56.000Z"
    }],
    "pagination": { "returned": 25, "max_results": 25, "pages_scraped": 1, "has_more": true }
  },
  "meta": { "creditsUsed": 1, "creditsRemaining": 98418, "billed": true, "reason": "success", "requestId": "req_example", "latencyMs": 4100 }
}
```

## Errors

| Status | Type | When | Billed |
|---|---|---|---|
| 400 | `invalid_request` | Missing or empty filters, unknown or unsupported filter, bad seniority value, more than 6 titles and seniorities combined, or a location or company that matches nothing. | 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.