Showcase Commercial Real Estate Scraper
Pricing
from $19.00 / 1,000 results
Showcase Commercial Real Estate Scraper
Scrapes commercial real estate listings from Showcase by state, city, property type, and transaction. Returns each listing as a flat row with price, square footage, and property details.
Pricing
from $19.00 / 1,000 results
Rating
0.0
(0)
Developer
ParseForge
Maintained by CommunityActor stats
0
Bookmarked
8
Total users
2
Monthly active users
5 days ago
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Showcase Commercial Real Estate Scraper
Scrape commercial real estate listings from Showcase for any US city, state, or property type. Every listing comes with its price, square footage, building class, and full property details. No login or API key. Export to CSV, JSON, Excel, or XML.
Showcase commercial real estate listings are spread across city and state pages, and there is no public API for bulk access. This Actor reads the public listing feeds directly, filtered by state, city, property type, and transaction, and returns each match in one fixed schema.
| Who uses it | What they scrape Showcase for |
|---|---|
| Commercial real estate brokers | Monitor new listings in their market before clients see them |
| Market researchers | Track asking prices and inventory by property type across cities |
| Investors | Find off-market or newly listed commercial properties that match their criteria |
| Data analysts | Build a clean dataset of commercial listings for trend analysis |
What it does
This Actor collects commercial real estate listings from Showcase by state, city, property type, and transaction, and returns each one as a flat row.
- 📍 Geographic filters: state code and city slug, so you can target one metro or an entire state.
- 🏢 Property type filters: office, retail, warehouse, flex, hotel, apartment buildings, or land.
- 💲 Transaction filters: for sale or for rent, so you only get listings that match your deal flow.
- 🔢 Max items control: set a hard cap from 1 to 1,000,000 properties per run.
Results export to CSV, JSON, Excel, or XML, or straight from the API.
What you can do with Showcase data
📈 Track new listings in a metro.
A broker runs the Actor daily for Atlanta, office space, for lease, and gets every new listing before it hits the major portals.
🏭 Compare warehouse asking rents.
A researcher pulls all warehouse for-rent listings across Georgia and builds a price-per-square-foot comparison by submarket.
🏨 Find hotel investment opportunities.
An investor filters for hotels for sale in Florida and exports the full dataset to screen for value-add deals.
📊 Monitor retail vacancy signals.
An analyst collects retail space for lease in several cities weekly and tracks changes in asking rates and available square footage.
Why choose this scraper
| What you get | |
|---|---|
| No API key | Reads public Showcase listing pages directly, no registration or OAuth |
| Fixed schema | Every listing returns the same flat fields, ready for spreadsheets or databases |
| Bulk export | CSV, JSON, Excel, or XML with one click from the Apify dataset |
| Targeted runs | Combine state, city, property type, and transaction to get exactly the listings you need |
How it compares
No other Store actor targets Showcase the same way, so the honest comparison is with the alternatives teams actually weigh.
| Showcase Commercial Real Estate Scraper | Build it in-house | By hand | |
|---|---|---|---|
| Setup | Run it now, zero config | Days of engineering | None, but hours per pull |
| When Showcase changes | Maintained for you | You fix it | You re-learn the page |
| Proxies, retries, anti-bot | Built in | Your problem | Browser only |
| Output | Fixed JSON schema, CSV/Excel export | Whatever you build | Copy-paste |
| Cost | Pay per result | Engineering time | Analyst hours |
Configure the run
Drive the Actor from state codes, city slugs, property types, and transaction types, alone or together, and filters run as each listing is read so only matches reach your dataset. The Input tab lists every parameter.
A first run with the defaults:
A larger pull:
Pricing
Pay-per-result: $0.021 per result collected. You pay only for the results written to your dataset.
| Results collected | Approximate cost |
|---|---|
| 100 results | $2.10 |
| 1,000 results | $21.00 |
| 10,000 results | $210.00 |
New Apify accounts start with $5 in free credit.
Free users
Free-plan runs return up to 10 results as a preview. Upgrade your Apify plan to collect up to 1,000,000 results per run.
Run it
- Create a free Apify account with $5 in credit.
- Open the Showcase Commercial Real Estate Scraper.
- Set your inputs and any filters, then click Start.
- Export the results as CSV, Excel, JSON, or XML from the Dataset tab.
Run it programmatically through the Apify API (run-sync-get-dataset-items) or the ApifyClient for JavaScript and Python.
Use with AI agents (MCP)
Give an AI agent live access to Showcase through the Model Context Protocol. Add the Actor to Claude, Cursor, or any MCP client:
Then prompt it in plain language to run the scraper and read back the results.
Troubleshooting
Why am I getting no results?
Check that the state code and city slug exactly match a Showcase URL. Try a broader property type like commercial-real-estate, and make sure the transaction type exists for that market.
Why did the run stop before maxItems?
The Actor stops when it has collected maxItems or when there are no more listings matching your filters. Try removing the city filter or broadening the property type.
Why are some fields empty?
Showcase does not always publish every field for every listing. Missing data is returned as null or an empty string, depending on the field.
Can I scrape multiple cities in one run?
The input accepts one city per run. To cover multiple cities, run the Actor once per city, or use Apify's actor orchestration to loop over a list of cities.
Why did I get a timeout error?
Large runs can take time. Increase the Actor's timeout in the run settings, or lower maxItems to keep the run shorter.
FAQ
| Question | Answer |
|---|---|
| Do I need a Showcase account or API key? | No. The Actor reads the public listing pages that Showcase serves to any browser, so no login or key is required. |
| What cities and states can I scrape? | Any US state using its two-letter code, and any city that Showcase has a slug for. Use lowercase and hyphens for multi-word cities, like los-angeles. |
| Can I get both for sale and for rent in one run? | The transaction field accepts one value per run. Run the Actor twice, once for for-sale and once for for-rent, and merge the datasets. |
| How many listings can I collect? | Set maxItems from 1 up to 1,000,000. The Actor stops as soon as it reaches your cap. |
| What property types are supported? | All commercial real estate, office space, retail space, warehouses, flex space, hotels, apartment buildings, and land. |
| What format is the data in? | Each listing is a flat JSON object. You can export the whole dataset to CSV, JSON, Excel, or XML from the Apify console. |
| Does this scrape residential listings? | No. This Actor is built for Showcase commercial real estate listings only. Residential listings are not included. |
| Can I schedule this to run automatically? | Yes. Use Apify schedules to run it daily or weekly, and set up an alert or webhook to push new listings to your team. |
| What if a city slug does not work? | Check the Showcase website URL for that city. The slug is the part after the state code, lowercase with hyphens. If the city is not listed on Showcase, there is nothing to scrape. |
| Is this legal to scrape? | You should only scrape public data that you are allowed to access and use. Review Showcase's terms of service and your local laws before using the data commercially. |
Related actors
Browse the full ParseForge collection for more scrapers.
🆘 Need help? Email parseforge@protonmail.com with your run ID, your input, and what you expected.
⚠️ Disclaimer. This Actor is unofficial and is not affiliated with, endorsed by, or sponsored by Showcase IDX. It collects only publicly available data. You are responsible for using the collected data in compliance with the source's terms of service and applicable data-protection laws, including GDPR, CCPA, and PIPL. Do not use it to collect personal data unlawfully.
