Singapore CEA Salesperson Register
The Council for Estate Agencies public register of property salespersons — name, CEA registration number, registration period and active status, and the estate agency (name and licence number) each salesperson is registered under.
0 rows in the dataset
Download the dataset
Get every row this scraper has collected as one CSV or JSONL file. If the data is older than maxAgeHours, the scraper is re-run with its configured settings first. The key needs the datasets:export scope.
DOWNLOAD_ID=$(curl -s -X POST "https://api.pandorlabs.com/v1/datasets/sg-cea-salespersons/downloads" \ -H "Authorization: Bearer $PANDORLABS_KEY" \ -H "Content-Type: application/json" \ -d '{"maxAgeHours":24,"format":"csv"}' | jq -r '.id')while true; do STATUS=$(curl -s "https://api.pandorlabs.com/v1/downloads/$DOWNLOAD_ID" \ -H "Authorization: Bearer $PANDORLABS_KEY" | jq -r '.status') [ "$STATUS" != "refreshing" ] && break sleep 5donecurl -s "https://api.pandorlabs.com/v1/downloads/$DOWNLOAD_ID/file" \ -H "Authorization: Bearer $PANDORLABS_KEY" \ -o dataset.csvThe rate is 1 credit per 100 rows cached and 2 credits live, charged on the rows in the dataset when the download becomes ready. A failed refresh is not charged. The file stays downloadable for 24 hours. See pricing.
Start a run
To choose the targets yourself, send the parameters below as input. The call returns 202 with the run; the key needs the scrapers:run scope and the account a positive credit balance.
curl -X POST "https://api.pandorlabs.com/v1/scrapers/sg-cea-salespersons/runs" \ -H "Authorization: Bearer $PANDORLABS_KEY" \ -H "Content-Type: application/json" \ -d '{ "input": { "datasetIds": [ "d_8b84c4ee58e3cfc0ece0d773c8ca6abc" ], "maxItems": 5000000 } }'A run is billed at the live rate once it finishes: 2 credits per 100 rows it collected. A run that collects nothing costs nothing.
Parameters
Every parameter is optional. Anything you leave out uses the default shown here; an unknown name or an invalid value is rejected with a 400 that lists each problem.
Advanced
datasetIdsstring[]
Only these data.gov.sg datasets
Empty pulls data.gov.sg collection 54 (CEA Salesperson Information, the public register).
- Default
- none
- Example
d_8b84c4ee58e3cfc0ece0d773c8ca6abc
maxItemsnumber
Max rows per run
- Default
5000000- Range
- 1 to 5000000
Input as JSON Schema
The same schema the API validates against. Use it as a tool input schema or to generate a typed client.
{ "type": "object", "additionalProperties": false, "properties": { "datasetIds": { "type": "array", "items": { "type": "string" }, "maxItems": 1000, "title": "Only these data.gov.sg datasets", "description": "Empty pulls data.gov.sg collection 54 (CEA Salesperson Information, the public register).", "default": [], "examples": [ "d_8b84c4ee58e3cfc0ece0d773c8ca6abc" ] }, "maxItems": { "type": "number", "minimum": 1, "maximum": 5000000, "title": "Max rows per run", "default": 5000000 } }}Run, poll, read rows
The run is asynchronous. Poll it until it reaches a terminal status and its billing is paid, then page through its rows. Until then the rows endpoint answers 409 (still queued or running) or 402 (payment required).
RUN_ID=$(curl -s -X POST "https://api.pandorlabs.com/v1/scrapers/sg-cea-salespersons/runs" \ -H "Authorization: Bearer $PANDORLABS_KEY" \ -H "Content-Type: application/json" \ -d '{ "input": { "datasetIds": [ "d_8b84c4ee58e3cfc0ece0d773c8ca6abc" ], "maxItems": 5000000 } }' | jq -r '.id')while true; do RUN=$(curl -s "https://api.pandorlabs.com/v1/runs/$RUN_ID" \ -H "Authorization: Bearer $PANDORLABS_KEY") STATUS=$(echo "$RUN" | jq -r '.status') BILLING=$(echo "$RUN" | jq -r '.billing.status') case "$STATUS" in queued|running) ;; *) [ "$BILLING" != "pending" ] && break ;; esac sleep 5doneecho "$RUN" | jq '{status, rowCount, billing}'curl -s "https://api.pandorlabs.com/v1/runs/$RUN_ID/rows?page=1&limit=100" \ -H "Authorization: Bearer $PANDORLABS_KEY"See the API reference for pagination, cancelling and listing runs.
Output fields
Rows have no fixed schema; these are the fields observed in the rows collected so far. Coverage is the share of rows where the field is present.
No rows collected yet, so no fields have been observed. Run the scraper once and they will appear here.
