# California Attorney Discipline Scraper (`jungle_synthesizer/attorney-discipline-scraper`) Actor Scrapes California State Bar disciplinary actions — disbarments, suspensions, probations, censures. One row per action with attorney name, bar number, sanction type, effective date, violations, and profile link. - **URL**: https://apify.com/jungle\_synthesizer/attorney-discipline-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Lead generation, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 ## California Attorney Discipline Scraper Scrapes attorney disciplinary actions from [The State Bar of California](https://www.calbar.ca.gov). Returns one row per disciplinary action — disbarments, suspensions, probations, and reprovals — with sanction type, effective date, violation categories, and a link to the attorney's official bar profile. --- ### California Attorney Discipline Scraper Features - Pulls directly from the official State Bar of California "Recent Disciplinary Actions" publication. - Extracts 19 fields per record including attorney name, bar number, sanction type, effective date, county, and a plain-English complaint summary. - Classifies each action into a canonical type — **Disbarment**, **Suspension**, **Probation**, **Public Reproval**, **Resignation**, or **Other** — so you can filter without parsing prose. - Auto-extracts violation categories (misappropriation, trust violations, moral turpitude, criminal conviction, etc.) from the summary text. - Optional full-history enrichment — fetches each attorney's profile and returns every historical sanction and administrative action on file. - Filter by sanction type at runtime; no post-processing required. - No proxies, no browser, no authentication — just clean HTML extraction. --- ### Who Uses Attorney Discipline Data? - **Compliance teams** — Screen outside counsel before engagement and monitor panel attorneys for new sanctions. - **Insurance underwriters** — Price legal malpractice policies using sanction history rather than hope. - **Law firm hiring** — Run lateral candidates through a sanction check that takes seconds instead of a subscription to a vendor database. - **Litigation funders** — Flag opposing counsel with prior misconduct before committing capital. - **Legal-tech products** — Power attorney-vetting and due-diligence features with structured sanction data. - **Researchers and journalists** — Track disciplinary patterns across California's 260,000+ attorneys. --- ### How It Works 1. Pick a sanction type filter (or leave it blank for all types) and set `maxItems`. 2. The scraper walks the State Bar of California's paginated Recent Disciplinary Actions listing — 20 records per page, roughly 80 pages deep. 3. Each action is parsed into a structured record with sanction type, duration, violation categories, and effective date. The attorney profile URL comes along for the ride. 4. If `includeFullHistory` is on, the scraper fetches each attorney's profile page and appends their full License Status and Disciplinary History table. Otherwise it returns just the listing row, which is plenty for most workflows. --- ### Input ```json { "maxItems": 20, "states": ["CA"], "sanctionType": "", "includeFullHistory": false } ```` | Field | Type | Default | Description | |-------|------|---------|-------------| | `maxItems` | integer | `20` | Maximum number of disciplinary-action records to return (1–5000). | | `states` | array | `["CA"]` | State codes to scrape. California is the only supported state in v1. | | `sanctionType` | string | `""` | Filter to one sanction category: `disbarred`, `suspended`, `probation`, `resigned`, `reproval`. Empty returns all types. | | `includeFullHistory` | boolean | `false` | When true, fetch each attorney's profile page and attach full historical sanction data. Adds one request per record. | #### Examples **Recent disbarments only:** ```json { "maxItems": 50, "sanctionType": "disbarred" } ``` **Full historical discipline for the last 10 sanctioned attorneys:** ```json { "maxItems": 10, "includeFullHistory": true } ``` *** ### California Attorney Discipline Scraper Output Fields ```json { "attorney_name": "Ronen Zargarof", "bar_number": "295853", "state": "CA", "sanction_type": "Disbarment", "sanction_raw": "disbarred for misappropriation of client funds, intentionally making false statements, failing to maintain client funds in trust, and other violations", "effective_date": "2026-04-10", "sanction_date": "2026-04-10", "duration": "indefinite", "violation_type": "misappropriation, trust violations, misrepresentation", "complaint_summary": "disbarred for misappropriation of client funds, intentionally making false statements, failing to maintain client funds in trust, and other violations", "case_number": "", "city": "Beverly Hills", "county": "Los Angeles", "current_status": "", "is_disbarred": true, "is_suspension": false, "historical_actions": [], "source_url": "https://www.calbar.ca.gov/public/concerns-about-attorney/recent-disciplinary-actions", "profile_url": "https://apps.calbar.ca.gov/attorney/Licensee/Detail/295853", "scraped_at": "2026-04-18T01:39:51.420Z" } ``` | Field | Type | Description | |-------|------|-------------| | `attorney_name` | string | Attorney's full name as published in the action. | | `bar_number` | string | California State Bar registration number. | | `state` | string | Two-letter state code. Always `"CA"` in v1. | | `sanction_type` | string | Canonical sanction class: `Disbarment`, `Suspension`, `Probation`, `Public Reproval`, `Resignation`, or `Other`. | | `sanction_raw` | string | Raw sanction description as published, cleaned of leading whitespace and trailing punctuation. | | `effective_date` | string | Date the sanction took effect, ISO 8601 (`YYYY-MM-DD`). | | `sanction_date` | string | Date the sanction was ordered. Usually matches `effective_date`. | | `duration` | string | Human-readable duration (e.g. `"2 years probation, 60 days suspension"`). `"indefinite"` for disbarments. Empty when not specified. | | `violation_type` | string | Comma-separated violation categories extracted from the summary (misappropriation, trust violations, moral turpitude, etc.). | | `complaint_summary` | string | Full narrative of what the attorney did — or didn't do. | | `case_number` | string | State Bar Court case number (e.g. `"02-O-10216"`) when present in the record. | | `city` | string | Attorney's city of record as published. | | `county` | string | California county, or `"Out-of-state"` for attorneys practicing outside California. | | `current_status` | string | Present license status from the attorney's profile page. Populated only when `includeFullHistory` is true. | | `is_disbarred` | boolean | `true` when `sanction_type` is `Disbarment`. | | `is_suspension` | boolean | `true` when the sanction includes any suspension component. | | `historical_actions` | array | Full prior-sanction history from the attorney's profile, formatted as `"YYYY-MM-DD | type | description"`. Only populated when `includeFullHistory` is true. | | `source_url` | string | The listing page this action was scraped from. | | `profile_url` | string | Deep link to the attorney's California State Bar profile. | | `scraped_at` | string | ISO 8601 timestamp when the record was captured. | *** ### FAQ #### How do I scrape California attorney discipline data? California Attorney Discipline Scraper runs directly against the State Bar of California's public Recent Disciplinary Actions publication. Set `maxItems`, pick a sanction filter if you want one, and run it. No login, no API key, no proxies. #### How much does this actor cost to run? California Attorney Discipline Scraper uses the standard pay-per-event model — $0.10 to start the run, plus $0.01 per record returned. Scraping 50 recent disbarments runs you about $0.60. #### What sanction types does California Attorney Discipline Scraper classify? The actor normalizes every California State Bar action into one of six canonical types: **Disbarment**, **Suspension**, **Probation**, **Public Reproval**, **Resignation** (with charges pending), or **Other**. It also sets `is_disbarred` and `is_suspension` boolean flags so you can filter downstream without parsing strings. #### Can I get the full sanction history for an attorney, not just the recent one? Yes. Set `includeFullHistory` to `true` and the scraper will pull each attorney's full California State Bar profile, including every prior disciplinary and administrative action on file. Useful for compliance screens where the question isn't "did they get sanctioned" but "how many times." #### Does California Attorney Discipline Scraper need proxies? No. The State Bar of California publishes disciplinary actions on a public, unauthenticated page with no bot detection worth mentioning. The actor runs on Apify's shared compute with no proxy configuration required. #### What other states are supported? California is the only state in v1. The State Bar of California publishes structured, scrapable discipline data. Most other state bars either lock their equivalents behind Cloudflare challenges or publish everything as scanned PDFs, which is a different problem. Additional states will ship as standalone actors when their sources become practical to parse. *** ### Need More Features? Need custom filters, historical backfill, or additional states? [File an issue](https://console.apify.com/actors/issues) or get in touch. ### Why Use California Attorney Discipline Scraper? - **Affordable** — ~$0.01 per record, no subscription. - **Structured, not scraped prose** — Every action gets a canonical sanction type, parsed duration, and extracted violation categories, so you can filter and aggregate without running an LLM over the summary text. - **Official source** — Data comes straight from The State Bar of California's own Recent Disciplinary Actions publication, which is as authoritative as it gets. # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `maxItems` (type: `integer`): Maximum number of disciplinary-action records to return. ## `states` (type: `array`): State codes to scrape. v1 supports only CA. ## `sanctionType` (type: `string`): Optional: only return actions matching this sanction type. ## `includeFullHistory` (type: `boolean`): Fetch each attorney's profile page and extract their full historical disciplinary history. Adds one request per record. ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 15, "states": [ "CA" ], "sanctionType": "", "includeFullHistory": false } ``` # 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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 15, "states": [ "CA" ], "sanctionType": "", "includeFullHistory": false }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/attorney-discipline-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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 15, "states": ["CA"], "sanctionType": "", "includeFullHistory": False, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/attorney-discipline-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 '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 15, "states": [ "CA" ], "sanctionType": "", "includeFullHistory": false }' | apify call jungle_synthesizer/attorney-discipline-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/attorney-discipline-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "California Attorney Discipline Scraper", "description": "Scrapes California State Bar disciplinary actions — disbarments, suspensions, probations, censures. One row per action with attorney name, bar number, sanction type, effective date, violations, and profile link.", "version": "0.1", "x-build-id": "Wp0cA2dyEDenTLsiX" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~attorney-discipline-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-attorney-discipline-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jungle_synthesizer~attorney-discipline-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-attorney-discipline-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jungle_synthesizer~attorney-discipline-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-attorney-discipline-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "maxItems" ], "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum number of disciplinary-action records to return.", "default": 15 }, "states": { "title": "States", "type": "array", "description": "State codes to scrape. v1 supports only CA.", "default": [ "CA" ], "items": { "type": "string" } }, "sanctionType": { "title": "Sanction Type Filter", "enum": [ "", "disbarred", "suspended", "probation", "resigned", "reproval" ], "type": "string", "description": "Optional: only return actions matching this sanction type.", "default": "" }, "includeFullHistory": { "title": "Include Full Historical Discipline", "type": "boolean", "description": "Fetch each attorney's profile page and extract their full historical disciplinary history. Adds one request per record.", "default": false } } }, "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 } } } } } } } } } } ```