CBRE Scraper
Pricing
from $2.00 / 1,000 dataset items
Pricing
from $2.00 / 1,000 dataset items
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CBRE Germany property records from the public listing search. One dataset item is one commercial listing, such as an office in Stuttgart, primary key DE-argoweb-76461: locality, postcode, usage type, area, and the listing URL. Filter by usage type, including office and industrial. Each row also includes coordinates when the listing publishes them, and a letting charge only when the listing shows one. Export the default dataset as JSON, CSV, Excel, or XML.
Dataset at a glance
| Source | CBRE Germany property search |
| One record | One commercial listing |
| Deduplicate on | primary_key |
| Main fields | title, locality, postcode, usage_type, total_area, url |
| Query | usageType |
| Export | JSON, CSV, Excel, XML |
Coverage and available records
- Records come from the public CBRE Germany search for the usage type you select.
usageTypecan be all listings, office, or industrial.letting_chargeis present when the listing publishes a charge.- Area is the number the source returns. The Actor does not convert units.
maxItemsof0does not cap the result set.
Data dictionary
| Field | Meaning |
|---|---|
primary_key | Listing key. Use this to deduplicate. |
url | Public listing page. |
title | Listing title. |
locality | City or locality. |
postcode | Postal code. |
usage_type | Use such as Office or Industrial. |
furnished | Furnished flag when the listing sends one. |
total_area | Area figure as returned by the source. |
letting_charge | Letting charge when published. |
latitude | Latitude. |
longitude | Longitude. |
last_updated | Source update timestamp when present. |
Example dataset record
{"primary_key": "DE-argoweb-76461","url": "https://www.cbre.de/immobiliensuche/buero/details/DE-argoweb-76461","title": "PROVISIONSFREI - Attraktive Bueroflaechen in Stuttgart Feuerbach zu vermieten","locality": "Stuttgart","postcode": "70178","usage_type": "Office","furnished": "unfurnished","latitude": 48.77085,"longitude": 9.1693}
The saved title is German. The example keeps the listing key and location and uses an ASCII title so the text stays readable.
Query and input reference
| Field | What it does |
|---|---|
usageType | Filter listings by property usage type. All returns every available letting listing in Germany. |
maxItems | Maximum number of property listings to scrape (0 = unlimited). |
proxyConfiguration | Proxy settings for anti-bot protection. Residential proxies are recommended for CBRE. |
Retrieve the data through the API
from apify_client import ApifyClientclient = ApifyClient("<APIFY_TOKEN>")run = client.actor("datascrapers/cbre-scraper").call(run_input={"usageType": "Office","maxItems": 10,})for item in client.dataset(run["defaultDatasetId"]).iterate_items():print(item["primary_key"], item["locality"], item["usage_type"])
This is the Apify Actor API, not a CBRE API.
Data quality and record handling
- One dataset item is one listing. Each pushed listing charges one
dataset-itemevent. - Deduplicate on
primary_key. letting_chargecan be empty.- Titles follow the German source text.
- Coordinates are the values on the listing. The Actor does not geocode an address of its own.
Pricing and cost examples
The price file charges $2.00 per 1,000 listings. That is $0.002 per dataset-item on every Apify plan. Platform usage, including compute and proxy, is billed separately by Apify.
| Records | Estimated event cost |
|---|---|
| 1,000 | $2.00 |
| 10,000 | $20.00 |
Limitations and responsible data use
- Coverage is the public Germany search for the usage type you select.
- Availability and charges change. This dataset is not a historical archive.
- You are responsible for complying with the site's terms and applicable law.
Dataset questions
What does one dataset item represent?
One CBRE Germany commercial listing.
Which field should I use as a unique identifier?
Use primary_key.
Are fields nullable or conditional?
Yes. letting_charge and total_area can be empty when the listing does not publish them.
Can I retrieve the records as CSV or JSON?
Yes. Export the default dataset as JSON, CSV, Excel, XML, or another Apify format.
How do I paginate large datasets?
Use limit and offset on the dataset items endpoint. maxItems limits how many rows the run saves.
Related datasets from Data Scrapers
Data Scrapers support
Questions about a field, a run, or an export: stardustspotlight@gmail.com.
