Real Estate Listing Scraper
Scrapes real estate listings from paginated sites using AI extraction and saves unique properties to a Google Sheet.
What it does
You automatically gather real estate listings from paginated websites and save unique properties directly to your Google Sheet. This agent uses AI to extract key details like price, area, and amenities while preventing duplicates based on listing URLs.
Step by step
- Construct paginated URLs by appending query parameters for page numbers to the base listing URL.
- Configure ScrapegraphAI with a specific JSON schema defining fields like price, area, and amenities.
- Initialize the Google Sheets API client using service account credentials for authenticated writes.
- Implement a deduplication check that queries existing rows in Google Sheets before inserting new data.
Where the LLM does the work
- Prompt Gemini to validate the extracted JSON structure against real estate market norms and flag anomalies.
- Instruct the LLM to normalize inconsistent unit formats such as square feet versus square meters.
- Use the model to infer missing amenities from property descriptions when explicit tags are absent.
Watch out for
Websites often block automated requests, so implement random delays between scraping actions to avoid IP bans.
Google Sheets has row limits and API quotas, so batch insert operations instead of writing one row at a time.
Scraping structures change frequently, so add error handling that alerts you when the expected HTML selectors are missing.
Tools that fit
Scrapegraph AI Service Web scraping and data extraction
Google Gemini Chat Model LLM AI-powered information extraction and validation
The agent brief
Everything your agent needs, including the gotchas. Copy it and go.
You are helping me build the following AI agent workflow. ## Goal Real Estate Listing Scraper: Scrapes real estate listings from paginated sites using AI extraction and saves unique properties to a Google Sheet. ## Specification - What it does: You automatically gather real estate listings from paginated websites and save unique properties directly to your Google Sheet. This agent uses AI to extract key details like price, area, and amenities while preventing duplicates based on listing URLs. - Trigger: Run manually (Manual · on demand) - Autonomy: Fully hands-off - Expected setup effort: about an afternoon - Tools/services involved: - Scrapegraph AI: Web scraping and data extraction - Google Gemini Chat Model: AI-powered information extraction and validation - Google Sheets: Storing structured listing data with deduplication ## Known pitfalls, handle each one explicitly in your implementation 1. Websites often block automated requests, so implement random delays between scraping actions to avoid IP bans. 2. Google Sheets has row limits and API quotas, so batch insert operations instead of writing one row at a time. 3. Scraping structures change frequently, so add error handling that alerts you when the expected HTML selectors are missing. ## Reference implementation https://n8n.io/workflows/13657 (workflow template) Fetch and inspect this before building. If it matches my stack, adapt it; if not, rebuild the pattern with my tools. ## Process requirements 1. Before building: ask me which of the listed tools I actually use and what my platform is (n8n / Make / code / other). Do not assume. 2. Adapt the pattern to my answers; do not force the reference stack. 3. Address every pitfall above; tell me how you handled each. 4. Provide a test plan I can run before letting this touch real data. 5. Ask before any step that sends messages, modifies data, or spends money. Source: https://usecasesforagents.com/use-case/real-estate-listing-scraper/ via usecasesforagents.com
Frequently asked questions
Can I use a different Web Scraping than ScrapeGraphAI?
Yes. ScrapeGraphAI is only the example web scraping in this recipe. The same flow works with Airtop, Apify, Bright Data and Decodo. Swap the web scraping connection and keep the rest of the setup as written.
Want this running in your business?
This is what I do. I design and build AI agents like this one, and keep them running. If you want it set up for your team instead of doing it yourself, get in touch.
Who it's for
Also fits Real Estate.
Analysts get a ready-made pattern for turning raw numbers into a report someone will actually read.