Pricing

Pay per event

NMLS Scraper - Mortgage Loan Originators, Lenders & Branches

Scrape NMLS Consumer Access for US mortgage originators (MLOs), companies, and branches. Row-per-entity with state licenses, disclosures, and sponsor links. First Apify actor for NMLS data.

Pricing

Pay per event

Rating

0.0

(0)

Developer

BowTiedRaccoon

Actor stats

Bookmarked

Total users

Monthly active users

2 days ago

Last modified

Categories

Business

Lead generation

Other

You can access the NMLS Scraper - Mortgage Loan Originators, Lenders & Branches programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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        "required": [
          "sp_intended_usage",
          "sp_improvement_suggestions"
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        "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",
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          },
          "sp_contact": {
            "title": "Contact Email",
            "minLength": 1,
            "type": "string",
            "description": "Provide your email address so we can get in touch with you."
          },
          "mode": {
            "title": "Query Mode",
            "enum": [
              "by_nmls_id",
              "by_name",
              "by_state",
              "by_company_employees"
            ],
            "type": "string",
            "description": "How to discover entities. 'by_name' and 'by_state' paginate search results; 'by_nmls_id' fetches specific entities directly; 'by_company_employees' pulls MLOs for each listed sponsoring company.",
            "default": "by_name"
          },
          "nmlsIds": {
            "title": "NMLS IDs",
            "type": "array",
            "description": "List of NMLS IDs to fetch directly. Used when mode = by_nmls_id.",
            "items": {
              "type": "string"
            }
          },
          "names": {
            "title": "Names",
            "type": "array",
            "description": "Company or individual names for full-text search. Used when mode = by_name. Each name is searched separately.",
            "items": {
              "type": "string"
            }
          },
          "states": {
            "title": "States",
            "type": "array",
            "description": "Two-letter US state codes (e.g., CA, TX, NY). Used when mode = by_state or as a filter in other modes.",
            "items": {
              "type": "string"
            }
          },
          "entityType": {
            "title": "Entity Type",
            "enum": [
              "",
              "INDIVIDUAL",
              "COMPANY",
              "BRANCH"
            ],
            "type": "string",
            "description": "Filter to a specific entity type. Leave empty to include all.",
            "default": ""
          },
          "sponsoringCompanyIds": {
            "title": "Sponsoring Company NMLS IDs",
            "type": "array",
            "description": "NMLS IDs of sponsoring companies. Used when mode = by_company_employees. The actor pulls each company's detail page and enumerates sponsored MLOs.",
            "items": {
              "type": "string"
            }
          },
          "includeDisclosures": {
            "title": "Include Regulator Disclosures",
            "type": "boolean",
            "description": "Parse regulator action details from each entity page. Slightly slower but provides compliance-grade data.",
            "default": true
          },
          "maxItems": {
            "title": "Max Items",
            "minimum": 1,
            "maximum": 10000,
            "type": "integer",
            "description": "Maximum number of entity records to return.",
            "default": 20
          },
          "proxyConfiguration": {
            "title": "Proxy Configuration",
            "type": "object",
            "description": "Proxy settings. NMLS Consumer Access does not require a proxy — got-scraping handles Cloudflare. Only enable if you need geo-targeting or your datacenter IP is blocked."
          }
        }
      },
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NMLS Scraper - Mortgage Originator & Lender Registry OpenAPI definition

OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.

OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.

By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.

You can download the OpenAPI definitions for NMLS Scraper - Mortgage Loan Originators, Lenders & Branches from the options below:

OpenAPI.json

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients:

NMLS Scraper - Mortgage Loan Originators, Lenders & Branches API in Python

NMLS Scraper - Mortgage Loan Originators, Lenders & Branches API in JavaScript

NMLS Scraper - Mortgage Loan Originators, Lenders & Branches API through CLI

NMLS Scraper - Mortgage Loan Originators, Lenders & Branches API

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