Trulia Scraper
Pricing
$25.00/month + usage
Trulia Scraper
Crawl the Trulia real estate listings site and extract data about homes for sale. Scrape home details for multiple search locations (City, Neighborhood, Zip, and County) and various search criteria and filters.
0.0 (0)
Pricing
$25.00/month + usage
6
Total users
101
Monthly users
2
Runs succeeded
>99%
Last modified
7 months ago
You can access the Trulia Scraper 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 "startUrls": [10 { "url": "https://www.trulia.com/for_sale/San_Francisco,CA/3p_beds/300000p_price/MULTI-FAMILY,SINGLE-FAMILY_HOME,TOWNHOUSE_type/7_nl/" },11 { "url": "https://www.trulia.com/property/7095741518-37901-Ocean-Ridge-Dr-Gualala-CA-95445" },12 ],13 "proxyConfiguration": {14 "useApifyProxy": True,15 "apifyProxyGroups": ["RESIDENTIAL"],16 },17}18
19# Run the Actor and wait for it to finish20run = client.actor("onidivo/trulia-scraper").call(run_input=run_input)21
22# Fetch and print Actor results from the run's dataset (if there are any)23print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])24for item in client.dataset(run["defaultDatasetId"]).iterate_items():25 print(item)26
27# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startTrulia Scraper API in Python
The Apify API client for Python is the official library that allows you to use Trulia Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include:
