NMLS Scraper - Mortgage Loan Originators, Lenders & Branches
Pricing
Pay per event
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.
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.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = {9 "sp_intended_usage": "Describe your intended use...",10 "sp_improvement_suggestions": "Share your suggestions here...",11 "sp_contact": "Share your email here...",12 "mode": "by_name",13 "nmlsIds": [14 "3030",15 "2289",16 ],17 "names": ["Rocket Mortgage"],18 "states": [],19 "entityType": "",20 "sponsoringCompanyIds": [],21 "includeDisclosures": True,22 "maxItems": 20,23 "maxSeedDepth": 2,24 "maxSeedExpansions": 100,25}26
27# Run the Actor and wait for it to finish28run = client.actor("jungle_synthesizer/nmls-consumer-access-crawler").call(run_input=run_input)29
30# Fetch and print Actor results from the run's dataset (if there are any)31print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])32for item in client.dataset(run["defaultDatasetId"]).iterate_items():33 print(item)34
35# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use NMLS Scraper - Mortgage Loan Originators, Lenders & Branches API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: