Daily Property Pricing Reports

Read a ready-made daily report on observed properties asking-price movements for one source. Each report includes calculated facts, a short AI-assisted brief, and links to the underlying listings. Press Start with the default input for one recent report.

What you receive

Each dataset item identifies its UTC report date, source, country, currency, and sale or rental market. facts contains verified price increases and decreases, a median percentage change across those verified changes, scraper coverage, and an explicit denominator note. brief is an evidence-linked explanation. evidence contains the original listing URLs and before-and-after asking prices. Reports have a revision number if late observations caused a corrected report to be published.

These are observed asking prices, not completed sale prices or valuations. A source report does not claim that the whole market rose or fell. A source with too few comparable changes, unreliable scraping, or suspect data has no paid report for that date.

Find reports

Leave the input empty for one recent report. Enter a country such as ZA, an exact source slug, and optional UTC dates to narrow the search. Select for-sale or to-rent to keep property markets separate. max_reports accepts 1–30. Enable Check availability without buying to see a count with no paid report content. An empty match has no report charge.

{"countries":["ZA"],"max_reports":1}

The run's OUTPUT record contains the delivered count and next_continuation_token. Copy that token into the next run with the same filters to continue. Brief network interruptions are retried. A lasting API outage fails the run before any report is written. For scheduled checks, set require_results=true and fresh_within_days=1 so the run fails when the latest report is older than yesterday.

Use the Apify API

This example uses apify-client 3.x.

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("thescrapelab/daily-property-price-reports").call(
    run_input={"countries": ["ZA"], "max_reports": 1}
)
for report in client.dataset(run.default_dataset_id).iterate_items():
    print(report["report_date"], report["source"], report["brief"]["headline"])

Price

The introductory price is $0.50 per report delivered to the dataset. One default report costs $0.50 in result charges; 30 reports cost at most $15 in result charges, subject to the displayed Apify pricing and your spending limit. Availability checks and empty results have no report charge. The report is precomputed; customer runs do not trigger a new AI generation.