# Extract named datapoints from a company site by domain

Define the fields you want — name, description, type and an example each — and get them extracted from the company's own website, with the URLs used

|  |  |
| --- | --- |
| Tool id | `branddev.brand-ai-query` |
| Platform | [Company search](https://www.orcarouter.ai/tools/companies.md) |
| Capability | [Company enrichment](https://www.orcarouter.ai/tools/companies/company-enrich.md) |
| Price | $0.0242 per call |
| Health | OK |
| p50 latency | — |
| Success (7 days) | — |
| Runs (30 days) | — |
| Idempotent | no |
| Data class | personal |

## Input

| Field | Type | Required | Description |
| --- | --- | --- | --- |
| `data_to_extract` | array | yes | each item needs ALL FOUR of datapoint_name, datapoint_description, datapoint_example and datapoint_type; datapoint_type is one of text \| number \| date \| boolean \| list \| url |
| `domain` | string | yes | bare domain, no scheme |
| `specific_pages` | object | no | restrict the crawl to named page types instead of letting it pick |
| `timeoutMS` | integer | no |  |

## Call it

```bash
curl -sS https://api.orcarouter.ai/v1/tools/branddev.brand-ai-query/run \
  -H "Authorization: Bearer $ORCAROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"input":{"data_to_extract":"<data_to_extract>","domain":"<domain>"}}'
```

```python
import os, requests

resp = requests.post(
    "https://api.orcarouter.ai/v1/tools/branddev.brand-ai-query/run",
    headers={"Authorization": f"Bearer {os.environ['ORCAROUTER_API_KEY']}"},
    json={"input":{"data_to_extract":"<data_to_extract>","domain":"<domain>"}},
)
print(resp.json())
```

## Alternatives

| Tool | Source | Price | Health |
| --- | --- | --- | --- |
| [Count companies](https://www.orcarouter.ai/tools/companies/company-enrich/companies-count.md) | — | $0.0022 per call | OK |
| [Screenshot a company's website by domain](https://www.orcarouter.ai/tools/companies/company-enrich/brand-screenshot.md) | — | $0.00242 per call | OK |
| [Enrich a company](https://www.orcarouter.ai/tools/companies/company-enrich/companies-enrich.md) | — | $0.022 per call | OK |
| [Extract products and prices from a company site by domain](https://www.orcarouter.ai/tools/companies/company-enrich/brand-ai-products.md) | — | $0.0242 per call | OK |
| [Brand profile by ISIN security identifier](https://www.orcarouter.ai/tools/companies/company-enrich/brand-retrieve-by-isin.md) | — | $0.0242 per call | OK |
| [Brand profile by company name — logos, colors, socials](https://www.orcarouter.ai/tools/companies/company-enrich/brand-retrieve-by-name.md) | — | $0.0242 per call | OK |
| [Brand profile by stock ticker — logo and colors](https://www.orcarouter.ai/tools/companies/company-enrich/brand-retrieve-by-ticker.md) | — | $0.0242 per call | OK |
| [Brand logos, colors and backdrops by domain](https://www.orcarouter.ai/tools/companies/company-enrich/brand-retrieve-simplified.md) | — | $0.0242 per call | OK |
| [A company's LinkedIn ads by domain or name — creatives](https://www.orcarouter.ai/tools/companies/company-enrich/x-b2b-ads-search.md) | — | $0.0275 per credit | failing |
| [Bulk enrich companies](https://www.orcarouter.ai/tools/companies/company-enrich/companies-enrich-bulk.md) | — | $0.165 per call | OK |

## FAQ

### How much does Extract named datapoints from a company site by domain cost?

Extract named datapoints from a company site by domain costs $0.0242 per call: 1,000 calls cost $24.20.

### What does a $10 budget buy with Extract named datapoints from a company site by domain?

About 413 calls at $0.0242 per call.

### What inputs does Extract named datapoints from a company site by domain need?

Required inputs: data_to_extract, domain.

### How do I call Extract named datapoints from a company site by domain?

Send POST /v1/tools/{id}/run with your OrcaRouter API key and a JSON body {"input": {…}}, where {id} is the tool id POST /v1/tools/discover returns for it.

---

Markdown version of https://www.orcarouter.ai/tools/companies/company-enrich/brand-ai-query