# Crime Grade Scraper (`lexis-solutions/crimegrade-scraper`) Actor CrimeGrade Scraper for Apify extracts structured crime and safety data from CrimeGrade, including crime grades, offense rates, cost of crime, comparisons, and nearby city stats for real estate research, relocation analysis, and location intelligence. - **URL**: https://apify.com/lexis-solutions/crimegrade-scraper.md - **Developed by:** [Lexis Solutions](https://apify.com/lexis-solutions) (community) - **Categories:** Real estate, AI, Agents - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $9.00 / 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 ## 🔍 CrimeGrade Scraper ![CrimeGrade Scraper](https://i.ibb.co/dxyx75w/crime-grade.png) ### ❓ What is this scraper? This scraper extracts structured crime statistics and safety data from **crimegrade.org**. CrimeGrade is a platform that grades US cities and neighborhoods on their crime levels, providing detailed breakdowns of violent crime, property crime, cost of crime, and more. This scraper collects clean and consistent crime data such as: * Overall and category crime grades (violent, property, other) * Crime rates per category (assault, robbery, theft, etc.) * Cost of crime per resident and total city cost * Crime cost comparison against state and national averages * Nearby cities crime grades for regional context All data is standardized into a structured format, making it easy to use for analysis, integrations, or storage. --- ### ⚡ Why this scraper? CrimeGrade provides highly valuable, structured crime data that is difficult to collect at scale manually. With this scraper, you can: * Assess the safety of US cities and neighborhoods * Compare crime rates across regions * Analyze the economic cost of crime per city * Build datasets for real estate apps, relocation tools, or research * Identify the safest or most dangerous areas in a state --- ### 📥 Input ```json { "zipCodes": ["12345"], "cityUrls": [ { "url": "https://crimegrade.org/safest-places-in-virginia-beach-va/" } ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "US" } } ```` You can provide **ZIP codes**, **direct city URLs**, or both. ZIP codes are automatically resolved to their corresponding city pages. *** ### 📤 Output Each city is returned as a structured JSON object: ```json { "url": "https://crimegrade.org/safest-places-in-schenectady-ny/", "title": "The Safest and Most Dangerous Places in Schenectady, NY: Crime Maps and Statistics", "overall_crime_grade": "B-", "grades": { "violent_crime_grade": "C-", "property_crime_grade": "C-", "other_crime_grade": "A+" }, "crime_cost": { "rows": [ { "crime": "Assault", "costToCity": "$8.64 million", "costPerResident": "$62" } ], "totals": { "costToCity": "$43,271,430", "costPerResident": "$309" } }, "crime_cost_comparison": [ { "label": "Schenectady, NY", "cost": "$309" }, { "label": "New York", "cost": "$335" }, { "label": "USA", "cost": "$464" } ], "crime_rate": [ { "label": "assault", "rate": "2.287" }, { "label": "robbery", "rate": "1.064" }, { "label": "total_violent_crime", "rate": "3.722 (C-)" }, { "label": "theft", "rate": "12.72" }, { "label": "total_property_crime", "rate": "16.36 (C-)" } ], "nearby_cities_crime": [ { "city": "Rotterdam, NY", "url": "https://crimegrade.org/safest-places-in-rotterdam-ny/", "overall_crime_grade": "B-", "violent_crime_grade": "C", "property_crime_grade": "C-" } ] } ``` *** ### Need to scrape other sites? Check out our other scrapers on Apify: - [Bodacc.fr Scraper](https://apify.com/lexis-solutions/bodacc-fr-scraper) - [Ballotpedia.org Scraper](https://apify.com/lexis-solutions/ballotpedia-org-scraper) - [Doxpop.com Scraper](https://apify.com/lexis-solutions/doxpop-com-scraper) *** 👀 p.s. Got feedback or need an extension? Lexis Solutions is a [certified Apify Partner](https://apify.com/partners/find). We can help you with custom solutions or data extraction projects. Contact us over [Email](mailto:scraping@lexis.solutions) or [LinkedIn](https://www.linkedin.com/company/lexis-solutions) ### Support Our Work 💝 If you're happy with our work and scrapers, you're welcome to leave us a company review [here](https://apify.com/partners/find/lexis-solutions/review) and leave a review for the scrapers you're subscribed to. It will take you less than a minute but it will mean a lot to us! ### Image Credit Image Credit: https://crimegrade.org/ # Actor input Schema ## `zipCodes` (type: `array`): List of US ZIP codes to look up and scrape crime data for. ## `cityUrls` (type: `array`): Direct CrimeGrade city URLs to scrape. ## `proxyConfiguration` (type: `object`): Your proxy configuration from Apify. ## Actor input object example ```json { "zipCodes": [ "12345" ], "cityUrls": [ { "url": "https://crimegrade.org/safest-places-in-virginia-beach-va/" } ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } } ``` # Actor output Schema ## `overview` (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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "zipCodes": [ "12345" ], "cityUrls": [ { "url": "https://crimegrade.org/safest-places-in-virginia-beach-va/" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("lexis-solutions/crimegrade-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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "zipCodes": ["12345"], "cityUrls": [{ "url": "https://crimegrade.org/safest-places-in-virginia-beach-va/" }], } # Run the Actor and wait for it to finish run = client.actor("lexis-solutions/crimegrade-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 '{ "zipCodes": [ "12345" ], "cityUrls": [ { "url": "https://crimegrade.org/safest-places-in-virginia-beach-va/" } ] }' | apify call lexis-solutions/crimegrade-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lexis-solutions/crimegrade-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Crime Grade Scraper", "description": "CrimeGrade Scraper for Apify extracts structured crime and safety data from CrimeGrade, including crime grades, offense rates, cost of crime, comparisons, and nearby city stats for real estate research, relocation analysis, and location intelligence.", "version": "1.0", "x-build-id": "R8wMlRbLvQSkPhp63" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lexis-solutions~crimegrade-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lexis-solutions-crimegrade-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lexis-solutions~crimegrade-scraper/runs": { "post": { "operationId": "runs-sync-lexis-solutions-crimegrade-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lexis-solutions~crimegrade-scraper/run-sync": { "post": { "operationId": "run-sync-lexis-solutions-crimegrade-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "zipCodes": { "title": "ZIP Codes", "type": "array", "description": "List of US ZIP codes to look up and scrape crime data for.", "items": { "type": "string" } }, "cityUrls": { "title": "City URLs", "type": "array", "description": "Direct CrimeGrade city URLs to scrape.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Your proxy configuration from Apify.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } } } }, "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 } } } } } } } } } } ```