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分类: 安全与合规需要 API Key

Baserow

通过托管 API 密钥认证集成 Baserow API,管理数据库行、字段和表。当用户需要读取、创建、更新等操作时使用此技能。

person作者: byungkyuhubclawhub

Baserow

Access the Baserow API with managed API key authentication. Manage database rows with full CRUD operations, filtering, sorting, and batch operations.

Quick Start

# List rows from a table
python <<'EOF'
import urllib.request, os, json
req = urllib.request.Request('https://api.maton.ai/baserow/api/database/rows/table/{table_id}/?user_field_names=true')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF

Base URL

https://api.maton.ai/baserow/{native-api-path}

Maton proxies requests to api.baserow.io and automatically injects your API token.

Authentication

All requests require the Maton API key in the Authorization header:

Authorization: Bearer $MATON_API_KEY

Environment Variable: Set your API key as MATON_API_KEY:

export MATON_API_KEY="YOUR_API_KEY"

Getting Your API Key

  1. Sign in or create an account at maton.ai
  2. Go to maton.ai/settings
  3. Copy your API key

Connection Management

Manage your Baserow API key connections at https://api.maton.ai.

List Connections

python <<'EOF'
import urllib.request, os, json
req = urllib.request.Request('https://api.maton.ai/connections?app=baserow&status=ACTIVE')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF

Create Connection

python <<'EOF'
import urllib.request, os, json
data = json.dumps({'app': 'baserow'}).encode()
req = urllib.request.Request('https://api.maton.ai/connections', data=data, method='POST')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
req.add_header('Content-Type', 'application/json')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF

Get Connection

python <<'EOF'
import urllib.request, os, json
req = urllib.request.Request('https://api.maton.ai/connections/{connection_id}')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF

Response:

{
  "connection": {
    "connection_id": "{connection_id}",
    "status": "ACTIVE",
    "creation_time": "2026-03-02T12:01:29.812801Z",
    "last_updated_time": "2026-03-02T12:02:17.932675Z",
    "url": "https://connect.maton.ai/?session_token=...",
    "app": "baserow",
    "metadata": {},
    "method": "API_KEY"
  }
}

Open the returned url in a browser to enter your Baserow database token.

Delete Connection

python <<'EOF'
import urllib.request, os, json
req = urllib.request.Request('https://api.maton.ai/connections/{connection_id}', method='DELETE')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF

Specifying Connection

If you have multiple Baserow connections, specify which one to use with the Maton-Connection header:

python <<'EOF'
import urllib.request, os, json
req = urllib.request.Request('https://api.maton.ai/baserow/api/database/rows/table/123/')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
req.add_header('Maton-Connection', '{connection_id}')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF

If you have multiple connections, always include this header to ensure requests go to the intended account.

Security & Permissions

  • Access is scoped to database rows, fields, and tables within the connected Baserow account.
  • All write operations require explicit user approval. Before executing any create, update, or delete call, confirm the target resource and intended effect with the user.

API Reference

Rows

List Rows

GET /baserow/api/database/rows/table/{table_id}/

Query parameters:

  • user_field_names=true - Use human-readable field names instead of field_123 IDs
  • size - Number of rows per page (default: 100)
  • page - Page number (1-indexed)
  • order_by - Field name to sort by (prefix with - for descending)
  • filter__{field}__{operator} - Filter rows (see Filtering section)
  • search - Search query across all fields
  • include - Comma-separated field names to include
  • exclude - Comma-separated field names to exclude

Response:

{
  "count": 5,
  "next": "http://api.baserow.io/api/database/rows/table/123/?page=2&size=2",
  "previous": null,
  "results": [
    {
      "id": 1,
      "order": "1.00000000000000000000",
      "Assignee Name": "Alice Johnson",
      "Email": "alice.johnson@example.com",
      "Tasks": []
    }
  ]
}

Get Row

GET /baserow/api/database/rows/table/{table_id}/{row_id}/

Response:

{
  "id": 1,
  "order": "1.00000000000000000000",
  "field_7456198": "Alice Johnson",
  "field_7456201": "alice.johnson@example.com",
  "field_7456215": []
}

Create Row

POST /baserow/api/database/rows/table/{table_id}/
Content-Type: application/json

{
  "field_7456198": "New User",
  "field_7456201": "newuser@example.com"
}

Or with user field names:

POST /baserow/api/database/rows/table/{table_id}/?user_field_names=true
Content-Type: application/json

{
  "Assignee Name": "New User",
  "Email": "newuser@example.com"
}

Response:

{
  "id": 6,
  "order": "6.00000000000000000000",
  "field_7456198": "New User",
  "field_7456201": "newuser@example.com",
  "field_7456215": []
}

Update Row

PATCH /baserow/api/database/rows/table/{table_id}/{row_id}/
Content-Type: application/json

{
  "field_7456198": "Updated Name"
}

Response:

{
  "id": 1,
  "order": "1.00000000000000000000",
  "field_7456198": "Updated Name",
  "field_7456201": "alice.johnson@example.com",
  "field_7456215": []
}

Delete Row

DELETE /baserow/api/database/rows/table/{table_id}/{row_id}/

Returns HTTP 204 No Content on success.


Batch Operations

Batch Create Rows

POST /baserow/api/database/rows/table/{table_id}/batch/
Content-Type: application/json

{
  "items": [
    {"field_7456198": "User 1", "field_7456201": "user1@example.com"},
    {"field_7456198": "User 2", "field_7456201": "user2@example.com"}
  ]
}

Response:

{
  "items": [
    {"id": 7, "order": "7.00000000000000000000", "field_7456198": "User 1", ...},
    {"id": 8, "order": "8.00000000000000000000", "field_7456198": "User 2", ...}
  ]
}

Batch Update Rows

PATCH /baserow/api/database/rows/table/{table_id}/batch/
Content-Type: application/json

{
  "items": [
    {"id": 7, "field_7456198": "Updated User 1"},
    {"id": 8, "field_7456198": "Updated User 2"}
  ]
}

Response:

{
  "items": [
    {"id": 7, "order": "7.00000000000000000000", "field_7456198": "Updated User 1", ...},
    {"id": 8, "order": "8.00000000000000000000", "field_7456198": "Updated User 2", ...}
  ]
}

Batch Delete Rows

POST /baserow/api/database/rows/table/{table_id}/batch-delete/
Content-Type: application/json

{
  "items": [7, 8]
}

Returns HTTP 204 No Content on success.


Fields

List Fields

GET /baserow/api/database/fields/table/{table_id}/

Response:

[
  {
    "id": 7456198,
    "table_id": 863922,
    "name": "Assignee Name",
    "order": 0,
    "type": "text",
    "primary": true,
    "read_only": false,
    "description": null
  },
  {
    "id": 7456201,
    "table_id": 863922,
    "name": "Email",
    "order": 1,
    "type": "text",
    "primary": false
  }
]

Tables

List All Tables

Get all tables across all databases accessible by your token.

GET /baserow/api/database/tables/all-tables/

Response:

[
  {
    "id": 863922,
    "name": "Assignees",
    "order": 0,
    "database_id": 419329
  },
  {
    "id": 863923,
    "name": "Tasks",
    "order": 1,
    "database_id": 419329
  }
]

Move Row

Reposition a row within a table.

PATCH /baserow/api/database/rows/table/{table_id}/{row_id}/move/

Query parameters:

  • before_id - Row ID to move before (if omitted, moves to end)

Example - Move row to before row 3:

python <<'EOF'
import urllib.request, os, json
req = urllib.request.Request(
    'https://api.maton.ai/baserow/api/database/rows/table/863922/5/move/?before_id=3',
    method='PATCH'
)
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF

Response:

{
  "id": 5,
  "order": "2.50000000000000000000",
  "field_7456198": "Moved User",
  "field_7456201": "moved@example.com"
}

File Uploads

Upload File via URL

Upload a file from a publicly accessible URL.

POST /baserow/api/user-files/upload-via-url/
Content-Type: application/json

{
  "url": "https://example.com/image.png"
}

Example:

python <<'EOF'
import urllib.request, os, json
data = json.dumps({'url': 'https://httpbin.org/image/png'}).encode()
req = urllib.request.Request(
    'https://api.maton.ai/baserow/api/user-files/upload-via-url/',
    data=data,
    method='POST'
)
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
req.add_header('Content-Type', 'application/json')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF

Response:

{
  "url": "https://files.baserow.io/user_files/...",
  "thumbnails": {
    "tiny": {"url": "...", "width": 21, "height": 21},
    "small": {"url": "...", "width": 48, "height": 48},
    "card_cover": {"url": "...", "width": 300, "height": 160}
  },
  "visible_name": "image.png",
  "name": "abc123_image.png",
  "size": 8090,
  "mime_type": "image/png",
  "is_image": true,
  "image_width": 100,
  "image_height": 100,
  "uploaded_at": "2026-03-02T12:00:00Z"
}

Upload File (Multipart)

Upload a file directly using multipart form data.

POST /baserow/api/user-files/upload-file/
Content-Type: multipart/form-data

Example:

curl -X POST "https://api.maton.ai/baserow/api/user-files/upload-file/" \
  -H "Authorization: Bearer $MATON_API_KEY" \
  -F "file=@/path/to/file.pdf"

Response: Same format as upload-via-url.

Using Uploaded Files in Rows

After uploading, use the file object in a file field:

POST /baserow/api/database/rows/table/{table_id}/?user_field_names=true
Content-Type: application/json

{
  "Attachment": [{"name": "abc123_image.png"}]
}

Filtering

Use filter parameters to query rows:

filter__{field}__{operator}={value}

With user_field_names=true:

GET /baserow/api/database/rows/table/{table_id}/?user_field_names=true&filter__Assignee+Name__contains=Alice

Multiple filters use AND logic by default. Use filter_type=OR to change to OR logic.

Filter Operators

Text Filters

| Operator | Description | |----------|-------------| | equal | Exact match | | not_equal | Not equal | | contains | Contains substring | | contains_not | Does not contain substring | | contains_word | Contains whole word | | doesnt_contain_word | Does not contain whole word | | length_is_lower_than | Text length is less than value |

Numeric Filters

| Operator | Description | |----------|-------------| | higher_than | Greater than | | higher_than_or_equal | Greater than or equal | | lower_than | Less than | | lower_than_or_equal | Less than or equal | | is_even_and_whole | Value is even and whole number |

Date Filters

| Operator | Description | |----------|-------------| | date_is | Date equals (use with timezone) | | date_is_not | Date does not equal | | date_is_before | Date is before | | date_is_on_or_before | Date is on or before | | date_is_after | Date is after | | date_is_on_or_after | Date is on or after | | date_is_within | Date is within period | | date_equal | Date equals (legacy) | | date_not_equal | Date does not equal (legacy) | | date_equals_today | Date is today | | date_before_today | Date is before today | | date_after_today | Date is after today | | date_within_days | Date within X days | | date_within_weeks | Date within X weeks | | date_within_months | Date within X months | | date_equals_days_ago | Date equals X days ago | | date_equals_weeks_ago | Date equals X weeks ago | | date_equals_months_ago | Date equals X months ago | | date_equals_years_ago | Date equals X years ago | | date_equals_day_of_month | Date equals specific day of month | | date_before_or_equal | Date is before or equal (legacy) | | date_after_or_equal | Date is after or equal (legacy) |

Boolean Filters

| Operator | Description | |----------|-------------| | boolean | Boolean equals (true/false) |

Link Row Filters

| Operator | Description | |----------|-------------| | link_row_has | Has linked row with ID | | link_row_has_not | Does not have linked row with ID | | link_row_contains | Linked row contains text | | link_row_not_contains | Linked row does not contain text |

Single Select Filters

| Operator | Description | |----------|-------------| | single_select_equal | Single select equals option ID | | single_select_not_equal | Single select does not equal option ID | | single_select_is_any_of | Single select is any of option IDs | | single_select_is_none_of | Single select is none of option IDs |

Multiple Select Filters

| Operator | Description | |----------|-------------| | multiple_select_has | Has option selected | | multiple_select_has_not | Does not have option selected | | multiple_select_is_exactly | Exactly these options selected |

Collaborator Filters

| Operator | Description | |----------|-------------| | multiple_collaborators_has | Has collaborator | | multiple_collaborators_has_not | Does not have collaborator |

File Filters

| Operator | Description | |----------|-------------| | filename_contains | File name contains | | has_file_type | Has file of type (image, document) | | files_lower_than | Number of files less than |

Empty/Not Empty Filters

| Operator | Description | |----------|-------------| | empty | Field is empty (value: true) | | not_empty | Field is not empty (value: true) |

User Filters

| Operator | Description | |----------|-------------| | user_is | User field equals user ID | | user_is_not | User field does not equal user ID |

Filter Examples

Text contains:

GET /baserow/api/database/rows/table/{table_id}/?user_field_names=true&filter__Name__contains=John

Date within last 7 days:

GET /baserow/api/database/rows/table/{table_id}/?user_field_names=true&filter__Created__date_within_days=7

Multiple filters (AND):

GET /baserow/api/database/rows/table/{table_id}/?user_field_names=true&filter__Status__single_select_equal=1&filter__Priority__higher_than=3

Multiple filters (OR):

GET /baserow/api/database/rows/table/{table_id}/?user_field_names=true&filter_type=OR&filter__Status__equal=Active&filter__Status__equal=Pending

Sorting

Use order_by parameter:

# Sort ascending by field name
GET /baserow/api/database/rows/table/{table_id}/?user_field_names=true&order_by=Assignee+Name

# Sort descending (prefix with -)
GET /baserow/api/database/rows/table/{table_id}/?user_field_names=true&order_by=-Assignee+Name

Pagination

Use size and page parameters:

GET /baserow/api/database/rows/table/{table_id}/?size=25&page=2

Response includes next and previous URLs:

{
  "count": 100,
  "next": "http://api.baserow.io/api/database/rows/table/123/?page=3&size=25",
  "previous": "http://api.baserow.io/api/database/rows/table/123/?page=1&size=25",
  "results": [...]
}

Code Examples

JavaScript

// List rows with user field names
const response = await fetch(
  'https://api.maton.ai/baserow/api/database/rows/table/863922/?user_field_names=true',
  {
    headers: {
      'Authorization': `Bearer ${process.env.MATON_API_KEY}`
    }
  }
);
const data = await response.json();
console.log(data.results);

Python

import os
import requests

# Create a row
response = requests.post(
    'https://api.maton.ai/baserow/api/database/rows/table/863922/?user_field_names=true',
    headers={
        'Authorization': f'Bearer {os.environ["MATON_API_KEY"]}',
        'Content-Type': 'application/json'
    },
    json={
        'Assignee Name': 'New User',
        'Email': 'newuser@example.com'
    }
)
row = response.json()
print(f"Created row ID: {row['id']}")

Notes

  • Connection uses API_KEY authentication (database token), not OAuth
  • By default, fields are returned as field_{id} format; use user_field_names=true for human-readable names
  • Row IDs are integers (not strings like Airtable's recXXX format)
  • Table IDs can be found in the Baserow UI URL or API documentation
  • Database tokens grant access only to database row endpoints, not admin endpoints
  • Cloud version has a limit of 10 concurrent API requests

Error Handling

| Status | Name | Description | |--------|------|-------------| | 200 | Ok | Request completed successfully | | 204 | No Content | Success (for DELETE operations) | | 400 | Bad Request | The request contains invalid values or the JSON could not be parsed | | 401 | Unauthorized | Invalid or missing database token | | 404 | Not Found | Row or table not found | | 413 | Request Entity Too Large | The request exceeded the maximum allowed payload size | | 429 | Too Many Requests | Rate limited (10 concurrent requests on cloud) | | 500 | Internal Server Error | The server encountered an unexpected condition | | 502 | Bad Gateway | Baserow is restarting or an unexpected outage is in progress | | 503 | Service Unavailable | The server could not process your request in time |

Troubleshooting: API Key Issues

  1. Check that the MATON_API_KEY environment variable is set:
echo $MATON_API_KEY
  1. Verify the API key is valid by listing connections:
python <<'EOF'
import urllib.request, os, json
req = urllib.request.Request('https://api.maton.ai/connections')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF

Troubleshooting: Invalid App Name

Ensure your URL path starts with baserow. For example:

  • Correct: https://api.maton.ai/baserow/api/database/rows/table/{table_id}/
  • Incorrect: https://api.maton.ai/api/database/rows/table/{table_id}/

Resources