# San Francisco Crime Data Scraper | SFPD Reports (`parseforge/san-francisco-crime-data-scraper`) Actor

Pull San Francisco Police Department crime incidents with offense category, location, date, district, and resolution. Filter by district, type, or date range. Useful for journalists, neighborhood safety analysts, and researchers tracking SF public safety trends.

- **URL**: https://apify.com/parseforge/san-francisco-crime-data-scraper.md
- **Developed by:** [ParseForge](https://apify.com/parseforge) (community)
- **Categories:** Other, News, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet

## Pricing

from $19.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):

```bash
npm install apify-client
```

In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):

```bash
pip install apify-client
```

In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):

````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash

In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).

If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).


# README

![ParseForge Banner](https://github.com/ParseForge/apify-assets/blob/ad35ccc13ddd068b9d6cba33f323962e39aed5b2/banner.jpg?raw=true)

## 🌉 San Francisco Crime Data Scraper

> 🚀 **Export SFPD crime incident reports from DataSF in seconds. Filter by category, district, neighborhood, and date.**

> 🕒 **Last updated:** 2026-05-25 · **📊 13 fields** per record · **Millions of incidents** · **City of San Francisco, CA**

The San Francisco Crime Data Scraper queries the DataSF Socrata API for SFPD incident reports from 2018 onward, returning category, subcategory, description, resolution, police district, neighborhood, and geocoordinates.

| 🎯 Target Audience | 💡 Primary Use Cases |
|---|---|
| Journalists, urban researchers, neighborhood associations, civic developers | Hotspot mapping, neighborhood safety dashboards, longitudinal analysis, public-safety reporting |

### 📋 What the San Francisco Police Crime Incidents Scraper does

- Queries the official San Francisco Police Crime Incidents data source
- Filters results with the input options below
- Returns clean, structured records
- Exports to CSV, Excel, JSON, XML in one click

> 💡 **Why it matters:** consolidate a multi-step manual export into one button.

### 🎬 Full Demo

_🚧 Coming soon_

### ⚙️ Input

```json
{ "maxItems": 100, "startDate": "2025-01-01" }
````

```json
{ "maxItems": 200, "category": "Assault", "neighborhood": "Mission" }
```

> ⚠️ **Good to Know:** the source data is published and updated by the upstream provider on their own schedule.

### 📊 Output

| Field | Type | Description |
|---|---|---|
| 🆔 undefined | string |  |
| 🔢 undefined | string |  |
| 📅 undefined | string |  |
| ⏰ undefined | string |  |
| 📆 undefined | string |  |
| 🏷️ undefined | string |  |
| 📚 undefined | string |  |
| 📝 undefined | string |  |
| ✅ undefined | string |  |
| 🚓 undefined | string |  |
| 🏙️ undefined | string |  |
| 🌐 undefined | string |  |
| 🌐 undefined | string |  |
| 🕒 scrapedAt | string | ISO timestamp |

```json
{
  "incidentNumber": "250613625",
  "incidentCategory": "Drug Offense",
  "policeDistrict": "Mission",
  "analysisNeighborhood": "Mission"
}
```

### ✨ Why choose this Actor

- 🆓 Free tier with 10-item preview
- ⚡ Direct API or HTML parsing, no waiting
- 🔍 Filters built in
- 📦 CSV, Excel, JSON, XML exports
- 🤝 No login or key required (uses public data)

### 📈 How it compares to alternatives

| Feature | This Actor | Manual Download | Custom Code |
|---|---|---|---|
| Filters | ✅ | ⚠️ | ✅ |
| Export formats | 4 | 1 | 1 |
| Setup time | seconds | hours | days |
| Schedule | ✅ | ❌ | ⚠️ |

### 🚀 How to use

1. [Create a free Apify account with $5 credit](https://console.apify.com/sign-up?fpr=vmoqkp)
2. Open the San Francisco Police Crime Incidents Scraper
3. Configure filters and maxItems
4. Click Start
5. Download CSV, Excel, JSON, or XML

### 💼 Business use cases

#### Market research

Benchmark patterns across geographies and time.

#### Due diligence

Use authoritative public records as primary evidence.

#### Compliance and risk

Track regulatory and risk indicators on a schedule.

#### Reporting and analytics

Feed dashboards and BI pipelines with fresh data.

### 🔌 Automating San Francisco Police Crime Incidents Scraper

Connect to Make, Zapier, Slack, Airbyte, GitHub Actions, Google Drive, S3, BigQuery to receive scheduled updates.

### 🌟 Beyond business use cases

#### Research

Academic and policy research.

#### Personal

Local interest dashboards.

#### Non-profit

Advocacy and transparency projects.

#### Experimentation

Public-data visualizations.

### 🤖 Ask an AI assistant about this scraper

Ask ChatGPT, Claude, Perplexity, or Copilot to help design pipelines around this dataset.

### ❓ Frequently Asked Questions

**Q: Source?** A: DataSF Socrata API.

**Q: API key required?** A: No.

**Q: Coverage?** A: 2018 to present.

**Q: Coordinates?** A: Yes.

**Q: Formats?** A: CSV, Excel, JSON, XML.

**Q: Frequency?** A: Updated daily.

**Q: Filter by district?** A: Yes.

**Q: Filter by neighborhood?** A: Yes (analysis neighborhood).

**Q: Schedule?** A: Apify Scheduler.

**Q: Official?** A: No, independent.

### 🔌 Integrate with any app

Make, Zapier, n8n, Pipedream, Slack, Discord, Airbyte, Fivetran, GitHub, Google Drive, S3, BigQuery, Snowflake, Webhooks.

### 🔗 Recommended Actors

| Actor | Description |
|---|---|
| Austin Crime Data | APD incidents |
| Philadelphia Crime Data | PPD incidents |
| FBI Crime Data | National UCR |
| USGS Earthquake | Real-time seismic events |

> 💡 **Pro Tip:** browse the complete [ParseForge collection](https://apify.com/parseforge).

**🆘 Need Help?** [Open our contact form](https://tally.so/r/BzdKgA)

> **⚠️ Disclaimer:** independent tool, not affiliated with San Francisco Police Crime Incidents. Only publicly available data is collected.

# Actor input Schema

## `maxItems` (type: `integer`):

Free: 10. Paid: 1,000,000.

## `startDate` (type: `string`):

YYYY-MM-DD lower bound.

## `endDate` (type: `string`):

YYYY-MM-DD upper bound.

## `category` (type: `string`):

Substring match (e.g. Assault, Larceny).

## `policeDistrict` (type: `string`):

SFPD district name.

## `neighborhood` (type: `string`):

Analysis neighborhood name.

## Actor input object example

```json
{
  "maxItems": 10
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "maxItems": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("parseforge/san-francisco-crime-data-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "maxItems": 10 }

# Run the Actor and wait for it to finish
run = client.actor("parseforge/san-francisco-crime-data-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "maxItems": 10
}' |
apify call parseforge/san-francisco-crime-data-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=parseforge/san-francisco-crime-data-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "San Francisco Crime Data Scraper | SFPD Reports",
        "description": "Pull San Francisco Police Department crime incidents with offense category, location, date, district, and resolution. Filter by district, type, or date range. Useful for journalists, neighborhood safety analysts, and researchers tracking SF public safety trends.",
        "version": "0.1",
        "x-build-id": "y76pZxiDr4cuCcaLy"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/parseforge~san-francisco-crime-data-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-parseforge-san-francisco-crime-data-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/parseforge~san-francisco-crime-data-scraper/runs": {
            "post": {
                "operationId": "runs-sync-parseforge-san-francisco-crime-data-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK",
                        "content": {
                            "application/json": {
                                "schema": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/parseforge~san-francisco-crime-data-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-parseforge-san-francisco-crime-data-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        }
    },
    "components": {
        "schemas": {
            "inputSchema": {
                "type": "object",
                "properties": {
                    "maxItems": {
                        "title": "Max Items",
                        "minimum": 1,
                        "maximum": 1000000,
                        "type": "integer",
                        "description": "Free: 10. Paid: 1,000,000."
                    },
                    "startDate": {
                        "title": "Start Date",
                        "type": "string",
                        "description": "YYYY-MM-DD lower bound."
                    },
                    "endDate": {
                        "title": "End Date",
                        "type": "string",
                        "description": "YYYY-MM-DD upper bound."
                    },
                    "category": {
                        "title": "Incident Category",
                        "type": "string",
                        "description": "Substring match (e.g. Assault, Larceny)."
                    },
                    "policeDistrict": {
                        "title": "Police District",
                        "type": "string",
                        "description": "SFPD district name."
                    },
                    "neighborhood": {
                        "title": "Neighborhood",
                        "type": "string",
                        "description": "Analysis neighborhood name."
                    }
                }
            },
            "runsResponseSchema": {
                "type": "object",
                "properties": {
                    "data": {
                        "type": "object",
                        "properties": {
                            "id": {
                                "type": "string"
                            },
                            "actId": {
                                "type": "string"
                            },
                            "userId": {
                                "type": "string"
                            },
                            "startedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "finishedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "status": {
                                "type": "string",
                                "example": "READY"
                            },
                            "meta": {
                                "type": "object",
                                "properties": {
                                    "origin": {
                                        "type": "string",
                                        "example": "API"
                                    },
                                    "userAgent": {
                                        "type": "string"
                                    }
                                }
                            },
                            "stats": {
                                "type": "object",
                                "properties": {
                                    "inputBodyLen": {
                                        "type": "integer",
                                        "example": 2000
                                    },
                                    "rebootCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "restartCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "resurrectCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "computeUnits": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "options": {
                                "type": "object",
                                "properties": {
                                    "build": {
                                        "type": "string",
                                        "example": "latest"
                                    },
                                    "timeoutSecs": {
                                        "type": "integer",
                                        "example": 300
                                    },
                                    "memoryMbytes": {
                                        "type": "integer",
                                        "example": 1024
                                    },
                                    "diskMbytes": {
                                        "type": "integer",
                                        "example": 2048
                                    }
                                }
                            },
                            "buildId": {
                                "type": "string"
                            },
                            "defaultKeyValueStoreId": {
                                "type": "string"
                            },
                            "defaultDatasetId": {
                                "type": "string"
                            },
                            "defaultRequestQueueId": {
                                "type": "string"
                            },
                            "buildNumber": {
                                "type": "string",
                                "example": "1.0.0"
                            },
                            "containerUrl": {
                                "type": "string"
                            },
                            "usage": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "integer",
                                        "example": 1
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "usageTotalUsd": {
                                "type": "number",
                                "example": 0.00005
                            },
                            "usageUsd": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "number",
                                        "example": 0.00005
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```