# Snapdocs Mobile Notary Directory Scraper (`jungle_synthesizer/snapdocs-mobile-notary-directory-scraper`) Actor Scrape mobile notary profiles from Snapdocs — the largest US hire-a-notary directory. Extracts name, city, state, certifications, languages, photo, and more from 350k+ commercial notary listings. Perfect for building lead lists, notary networks, and directory data. - **URL**: https://apify.com/jungle\_synthesizer/snapdocs-mobile-notary-directory-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Lead generation - **Stats:** 2 total users, 1 monthly users, 66.7% 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 ## Snapdocs Mobile Notary Directory Scraper Extract structured notary profiles from **Snapdocs** — the largest hire-a-notary directory in the United States. Build targeted lead lists, notary networks, or B2B prospecting datasets with 350,000+ commercial mobile-notary profiles across all 50 states. ### What You Get Each record includes: | Field | Description | |-------|-------------| | `name` | Notary full name | | `profile_url` | Canonical Snapdocs profile URL | | `city` | City of service | | `state` | State abbreviation (e.g. `CA`) | | `zip` | ZIP code | | `photo_url` | Profile photo URL | | `certifications` | Verified credentials (e.g. `ID, Commission, E&O Insurance, Background Check Report`) | | `languages` | Languages spoken (e.g. `English, Spanish`) | | `signings_completed` | Number of completed Snapdocs signings | | `source_listing_state` | State slug used for crawl discovery | | `source_listing_city` | City slug used for crawl discovery | ### Use Cases - **Lead generation** for title companies, escrow firms, and signing services - **Notary network building** with language and certification filters - **Market research** on notary density by state and metro area - **CRM enrichment** with verified credentials and activity signals ### How It Works The scraper navigates Snapdocs' three-tier directory hierarchy: 1. **State index** — discovers all 50 US states + territories 2. **City pages** — discovers all cities within each state 3. **City listings** — paginates through notary cards (10/page, up to 93 pages in major metros) 4. **Profile pages** — extracts structured data from each notary's detail page No proxy needed. No CAPTCHA. Server-rendered HTML throughout. ### Input | Parameter | Type | Description | |-----------|------|-------------| | `startUrls` | array | Direct URLs to scrape (state, city, or profile pages). Overrides `states` when provided. | | `states` | array | State slugs to scrape (e.g. `["california", "new-york"]`). Default: all states. | | `maxItems` | integer | Maximum number of profiles to collect. | #### Example: Scrape a single city ```json { "startUrls": ["https://notary.snapdocs.com/notary-public/california/los-angeles"], "maxItems": 100 } ```` #### Example: Scrape two states ```json { "states": ["texas", "florida"], "maxItems": 5000 } ``` #### Example: Single profile ```json { "startUrls": ["https://notary.snapdocs.com/notary-public/california/los-angeles/melvin-y-morataya"] } ``` ### Notes - **Contact info** (phone, email) is not included — Snapdocs gates contact details behind a form that requires submitting your own email address. All other publicly-visible structured fields are captured. - **Coverage**: ~350,000 profiles US-wide. California alone has 400+ cities and 9,000+ notaries. - **Rate limit**: Courteous 5-concurrent-request crawl. No throttling observed on the target site. # 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 notary profiles to scrape. Leave blank to scrape all. ## `states` (type: `array`): List of US state slugs to scrape (e.g. \["california", "new-york"]). Leave blank to scrape all states. ## `startUrls` (type: `array`): Optional list of specific city or state URLs to start from (e.g. https://notary.snapdocs.com/notary-public/california/los-angeles). Overrides the states filter when provided. ## 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": 10, "states": [ "california" ] } ``` # 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": 10, "states": [ "california" ] }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/snapdocs-mobile-notary-directory-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": 10, "states": ["california"], } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/snapdocs-mobile-notary-directory-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": 10, "states": [ "california" ] }' | apify call jungle_synthesizer/snapdocs-mobile-notary-directory-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/snapdocs-mobile-notary-directory-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Snapdocs Mobile Notary Directory Scraper", "description": "Scrape mobile notary profiles from Snapdocs — the largest US hire-a-notary directory. Extracts name, city, state, certifications, languages, photo, and more from 350k+ commercial notary listings. Perfect for building lead lists, notary networks, and directory data.", "version": "0.1", "x-build-id": "eZiwMBoNepXRLZuft" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~snapdocs-mobile-notary-directory-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-snapdocs-mobile-notary-directory-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~snapdocs-mobile-notary-directory-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-snapdocs-mobile-notary-directory-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~snapdocs-mobile-notary-directory-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-snapdocs-mobile-notary-directory-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": { "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", "type": "integer", "description": "Maximum number of notary profiles to scrape. Leave blank to scrape all." }, "states": { "title": "States to Scrape", "type": "array", "description": "List of US state slugs to scrape (e.g. [\"california\", \"new-york\"]). Leave blank to scrape all states.", "items": { "type": "string" } }, "startUrls": { "title": "Start URLs", "type": "array", "description": "Optional list of specific city or state URLs to start from (e.g. https://notary.snapdocs.com/notary-public/california/los-angeles). Overrides the states filter when provided.", "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```