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Redfin Fast Scraper Per Results

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Redfin Fast Scraper Per Results

Redfin Fast Scraper Per Results

mantisus/redfin-fast-scraper-per-results
Try for free

Pay $1.00 for 1,000 results

Redfin: Scrape fast, stay light! Skip bloated browser tools. My Redfin scraper extracts property data in a flash, no heavy lifting is needed. Scrape/monitor listings with ease, all without Puppeteer or Playwright. ⚡️

You can access the Redfin Fast Scraper Per Results programmatically from your own Python 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 ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "urls": ["https://www.redfin.com/zipcode/20024/filter/min-beds=0,air-conditioning"],
10    "locations": ["20001"],
11    "proxySettings": { "useApifyProxy": False },
12}
13
14# Run the Actor and wait for it to finish
15run = client.actor("mantisus/redfin-fast-scraper-per-results").call(run_input=run_input)
16
17# Fetch and print Actor results from the run's dataset (if there are any)
18print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
19for item in client.dataset(run["defaultDatasetId"]).iterate_items():
20    print(item)
21
22# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Redfin Fast Scraper Per Results API in Python

The Apify API client for Python is the official library that allows you to use Redfin Fast Scraper Per Results API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

pip install apify-client

Other API clients include:

Developer
Maintained by Community
Actor metrics
  • 3 monthly users
  • 3 stars
  • 100.0% runs succeeded
  • Created in Apr 2024
  • Modified 5 months ago