USDA Rural Development Lender Scraper — Lending Intel
Pricing
Pay per usage
Pulls USDA OneRD lender data, groups it by lender, scores activity and portfolio health, and outputs lender leads with clear opportunity signals.
Pricing
Pay per usage
Rating
0.0
(0)
Developer
Saad Belcaid
Maintained by CommunityActor stats
1
Bookmarked
37
Total users
12
Monthly active users
a month ago
Last modified
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You can access the USDA Rural Development Lender Scraper — Lending Intel 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
10# Run the Actor and wait for it to finish11run = client.actor("belcaidsaad/usda-lenders").call(run_input=run_input)12
13# Fetch and print Actor results from the run's dataset (if there are any)14print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])15for item in client.dataset(run["defaultDatasetId"]).iterate_items():16 print(item)17
18# 📚 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 USDA Rural Development Lender Scraper — Lending Intel API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: