…
. So we should use that format for paragraphs and maybe headings:…
. We need to include title line separate from HTML? They said: Format: Start with the title as a plain heading (e.g., “Title: …\n\n”), then HTML content. So first line: Title: something. Then blank line, then HTML blocks. We need 450-500 words inclusive. Must count words. Let’s aim around 470 words. We need to write about Automating Data Collection: Streamlining MLS and Public Data Feeds. Use facts from e-book. Include actionable content. End with promotion paragraph with link. We must not use placeholders. Must be complete sentences. We need to ensure word count. Let’s draft then count. I’ll write title: “Title: Automating Data Collection for Solo Agents: Streamline MLS and Public Feeds with AI” Now HTML content: We’ll use headings and paragraphs. Let’s draft:Why Automate Data Collection?
Solo agents spend hours pulling comps, tax records, and zoning info each morning. Automating the feed turns that manual hunt into a reliable, scheduled process that delivers fresh data straight to a Google Sheet.
Set Up the MLS Script
Action 1: Create an automated script that runs your pre‑defined MLS search for “Sold in [Neighborhood] last 14 days, 3‑4 beds, 1500‑2500 SQFT.” The script pulls address, price, SQFT, beds/baths, year built, lot size, date listed, date sold, days on market, and key amenities such as pool or garage.
Feed the Data to Google Sheets
Action 2: The extracted data is formatted and appended to a designated Google Sheet titled “CMA Data.” Each row contains the fields listed above, plus photograph links for later use in reports.
Layer in Public Records
County Assessor/Recorder offices provide tax assessed value, parcel maps, and ownership history. Add these columns to the same sheet so every comp includes both market and tax perspectives.
Add Geospatial and Government Layers
Geospatial data supplies school district boundaries, flood zones, and walkability scores. Local government sites contribute permit history, zoning regulations, and future development plans. Pull these via APIs or scheduled scrapes and merge them into the sheet using a unique parcel ID.
Incorporate Metro‑Area Trends
Market trend aggregators give broader metro‑area indicators—interest‑rate shifts, inventory levels, price‑per‑SQFT averages—that influence hyper‑local conditions. Append a summary row or separate tab so you can adjust comps with macro context.
Result: Ready‑to‑Use CMA Sheet
When you open your “CMA Data” sheet at 8 AM each morning, fresh, structured comps are already waiting—no searching required. You can immediately calculate price per SQFT, adjust for amenities, and draft a CMA or hyper‑local market report.
Start Small and Validate
Start Small: Automate one neighborhood or one data source first. Don’t try to boil the ocean. Set the trigger to run every morning at 8 AM. Validate Regularly: Spot‑check your automated feeds weekly against a manual MLS search to catch any breaks in the script or changes in field names.
Key Fields to Include
Make sure your sheet captures: address, listing/sold price, price per SQFT, SQFT, bed/bath count, year built, lot size, date listed, date sold/closed, days on market, key amenities (pool, garage, renovations), photograph links, property characteristics, property type and style, status history, and transaction data.
For a comprehensive guide with detailed workflows, templates, and additional strategies, see my e-book: AI for Solo Real Estate Agents: How to Automate Comparative Market Analysis (CMA) and Hyper-Local Market Report Drafts.
Now we need to count words. Let’s count manually. I’ll copy the text and count. Title line not counted? The requirement: words in the article likely includes title? Usually they count the whole article content. Safer to count everything after “Title:” line? The instruction: “Write a concise 450-500 word WordPress blog post in HTML format”. Title line is part of the post. We’ll count everything after “Title:” line inclusive? Let’s count all words we produce after “Title:” line (including heading text inside HTML). We’ll exclude the “Title: …” line? Safer to include it in count? Let’s include everything after the newline after title? Actually they said: “Start with the title as a plain heading (e.g., “Title: …\n\n”), then HTML content.” So the title line is separate but part of output. We’ll count words in the title line as well. Let’s count. I’ll write out full output then count. Full output:Why Automate Data Collection?
Solo agents spend hours pulling comps, tax records, and zoning info each morning. Automating the feed turns that manual hunt into a reliable, scheduled process that delivers fresh data straight to a Google Sheet.
Set Up the MLS Script
Action 1: Create an automated script that runs your pre‑defined MLS search for “Sold in [Neighborhood] last 14 days, 3‑4 beds, 1500‑2500 SQFT.” The script pulls address, price, SQFT, beds/baths, year built, lot size, date listed, date sold, days on market, and key amenities such as pool or garage.
Feed the Data to Google Sheets
Action 2: The extracted data is formatted and appended to a designated Google Sheet titled “CMA Data.” Each row contains the fields listed above, plus photograph links for later use in reports.
Layer in Public Records
County Assessor/Recorder offices provide tax assessed value, parcel maps, and ownership history. Add these columns to the same sheet so every comp includes both market and tax perspectives.
Add Geospatial and Government Layers
Geospatial data supplies school district boundaries, flood zones, and walkability scores. Local government sites contribute permit history, zoning regulations, and future development plans. Pull these via APIs or scheduled scrapes and merge them into the sheet using a unique parcel ID.
Incorporate Metro‑Area Trends
Market trend aggregators give broader metro‑area indicators—interest‑rate shifts, inventory levels, price‑per‑SQFT averages—that influence hyper‑local conditions. Append a summary row or separate tab so you can adjust comps with macro context.
Result: Ready‑to‑Use CMA Sheet
When you open your “CMA Data” sheet at 8 AM each morning, fresh, structured comps are already waiting—no searching required. You can immediately calculate price per SQFT, adjust for amenities, and draft a CMA or hyper‑local market report.
Start Small and Validate
Start Small: Automate one neighborhood or one data source first. Don’t try to boil the ocean. Set the trigger to run every morning at 8 AM. Validate Regularly: Spot‑check your automated feeds weekly against a manual MLS search to catch any breaks in the script or changes in field names.
Key Fields to Include
Make sure your sheet captures: address, listing/sold price, price per SQFT, SQFT, bed/bath count, year built, lot size, date listed, date sold/closed, days on market, key amenities (pool, garage, renovations), photograph links, property characteristics, property type and style, status history, and transaction data.
For a comprehensive guide with detailed workflows, templates, and additional strategies, see my e-book: AI for Solo Real Estate Agents: How to Automate Comparative Market Analysis (CMA) and Hyper-Local Market Report Drafts.
Now count words. Need to count all words visible (including inside HTML tags? Usually not count tags. We’ll count only the visible text content. We’ll ignore HTML markup and the comments. We’ll count words in title line, heading texts, paragraph texts. Let’s extract visible text. Title line: “Automating Data Collection for Solo Agents: Streamline MLS and Public Feeds with AI” Now headings and paragraphs: Heading1: Why Automate Data Collection? Paragraph1: Solo agents spend hours pulling comps, tax records, and zoning info each morning. Automating the feed turns that manual hunt into a reliable, scheduled process that delivers fresh data straight to a Google Sheet. Heading2: Set Up the MLS Script Paragraph2: Action 1: Create an automated script that runs your pre‑defined MLS search for “Sold in [Neighborhood] last 14 days, 3‑4 beds, 1500‑2500 SQFT.” The script pulls address, price, SQFT, beds/baths, year built, lot size, date listed, date sold, days on market, and key amenities