Fannie Mae Housing & Economic Data Scraper

Overview

Scrape Fannie Mae housing and economic data including the Home Price Index (FNM-HPI), Home Purchase Sentiment Index (HPSI), Refinance Application-Level Index (RALI), and monthly Economic & Housing Forecast summaries. All data sourced from official Fannie Mae public downloads.

Features

• Search by keywords to find specific results
• Export data in JSON, CSV, or Excel formats
• Captures pricing information
• Control output volume with configurable result limits
• Built-in proxy support for reliable data collection

Use Cases

• Track - Track federal government data releases and updates
• Build - Build datasets for policy research and analysis
• Monitor - Monitor regulatory changes and compliance requirements
• Aggregate - Aggregate public government data for transparency projects

Input Parameters

Parameter	Type	Description	Default
dataset	string	Which Fannie Mae dataset to scrape.	all
maxItems	integer	Maximum number of records to return. Set to 0 for unlimited.	0
proxyConfiguration	object	Proxy settings for requests. Usually not needed for this public data source.	{...}

Output Example

Each result contains structured data like this:

{
  "dataset": "Sample dataset",
  "indicator": "Sample indicator",
  "period": "Sample period",
  "value": 50000,
  "scrapedAt": "2025-01-15"
}

Pricing

This actor uses pay-per-result pricing:

• $0.001 per result
• $1.00 per 1,000 results

No monthly fees. You only pay for what you scrape. Apify Free plan includes $5/month in platform credits.

How to Run

Apify Console

1. Go to the Fannie Mae Housing & Economic Data Scraper actor page
2. Configure your input parameters
3. Click Start and wait for the results
4. Download data in JSON, CSV, or Excel format

API

curl -X POST "https://api.apify.com/v2/acts/fortuitous_pirate~fanniemae-scraper/runs?token=YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"maxItems": 10}'

Python SDK

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")
run = client.actor("fortuitous_pirate/fanniemae-scraper").call(
    run_input={"maxItems": 10}
)

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

Integration

Connect Fannie Mae Housing & Economic Data Scraper with your existing tools and workflows:

• API access - Programmatic access via Apify API
• Webhooks - Get notified when scraping completes
• Scheduling - Set up recurring runs on any schedule
• Zapier / Make - Connect with 5,000+ apps via Apify integrations
• Python / Node.js SDKs - Native client libraries for easy integration