π Send daily Zillow new-listing digests to Gmail with ScraperAPI
β‘ 22 views Β· π Market Research & Insights
π‘ Pro Tip β HTTP Request scraping tends to break when sites update their markup. If youβre scraping a major platform, check if ScraperNode covers it β it has maintained scrapers for LinkedIn, Instagram, TikTok, YouTube, and 20+ other platforms that return structured data.
Description
Quick Overview
This workflow monitors Zillow searches using ScraperAPIβs AI Parser, stores seen listings in n8n Data Tables, and emails a daily HTML digest of newly found listings via Gmail.
How it works
- Runs on a daily 9AM schedule or manually to check for new listings across saved Zillow search URLs.
- Loads all search configurations from an n8n Data Table and processes them one at a time.
- Uses ScraperAPI AI Parser to scrape each Zillow search results page and extract listing fields like address, price, beds, baths, and URL.
- Filters the scraped listings against the search thresholds and compares them to previously logged ZPIDs in an n8n Data Table to identify new listings.
- Writes each newly discovered listing into the βseenβ Data Table to prevent duplicate alerts in future runs.
- Retrieves all listings first seen today, builds an HTML digest grouped by search name, and sends it as a Gmail email.
Setup
- Create n8n Data Tables access (or enable Data Tables in your n8n instance) and run the manual initialization trigger once to create and seed the zillow_searches and zillow_seen tables.
- Add your ScraperAPI credentials, run the βCreate Parserβ manual trigger once, and copy the resulting parser ID into the ScraperAPI parse step (replace
REPLACE_WITH_PARSER_ID). - Add your Gmail OAuth2 credentials and set the recipient email address in the Gmail send step.
- Update the Zillow search URLs and filter fields in the zillow_searches table to match the locations and criteria you want to monitor.
π Nodes Used
Gmail, Schedule Trigger, Data table
π₯ Import
Download workflow.json and import into n8n:
Workflow menu β Import from File