{ "openapi": "3.0.1", "info": { "title": "Israel Property Market Signals — Yad2 & Madlan Analytics", "description": "Turn Israeli property listings into market intelligence: days on market, price-drop history, motivated-seller scores and per-neighbourhood absorption. 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This Actor analyses listings; it does not fetch them, so nothing is charged twice." }, "listings": { "title": "Or paste listings directly", "type": "array", "description": "Listing records as JSON, instead of a dataset ID. Handy for testing. Each record needs an identifier (id, listingId or adNumber) and a price (price, priceIls or askingPrice); rooms, squareMeters, floor, city and neighborhood are all used when present." }, "source": { "title": "Source label", "enum": [ "yad2", "madlan", "homeless", "other" ], "type": "string", "description": "Keeps listing IDs from different sites separate, so the same number on Yad2 and Madlan is never treated as one property. Use a consistent value per tracker.", "default": "yad2" }, "trackerId": { "title": "Tracker ID", "pattern": "^[a-zA-Z0-9_-]{1,50}$", "type": "string", "description": "The memory this run belongs to. Use one per market you follow — for example tlv-sale or haifa-rent — and always the same value for the same market. Mixing markets into one tracker contaminates every median and cannot be undone afterwards.", "default": "default" }, "delistAfterRuns": { "title": "Runs absent before a listing counts as gone", "minimum": 1, "maximum": 5, "type": "integer", "description": "How many consecutive runs a listing must be missing before it is reported as delisted. 2 is recommended for scheduled runs: it costs one day of latency and stops a single failed scrape being read as a wave of sales.", "default": 2 }, "snapshotDate": { "title": "Backfill: date this snapshot was taken", "type": "string", "description": "Only for loading old data. If you have archived scrapes, run them through oldest first with the date each was captured (YYYY-MM-DD) and the Actor builds real history in minutes instead of waiting weeks for it. Leave empty for normal daily runs." }, "resetHistory": { "title": "Start this tracker over", "type": "boolean", "description": "Discards everything remembered for this Tracker ID and begins a new baseline. Days on market restarts at zero for every listing. There is no undo.", "default": false }, "dryRun": { "title": "Dry run — do not save history", "type": "boolean", "description": "Computes and returns results without recording them. Use it to try different score weights against the same data without disturbing the history you have built up.", "default": false }, "minMotivatedScore": { "title": "Minimum motivated-seller score", "minimum": 0, "maximum": 100, "type": "integer", "description": "Only return listings scoring at or above this, from 0 to 100. Leave at 0 to get everything; set around 60 to see just the sellers who look ready to negotiate. You are billed on rows returned, so filtering here lowers your cost.", "default": 0 }, "emitAreaReport": { "title": "Include the neighbourhood report", "type": "boolean", "description": "Adds one row per neighbourhood with median price per m², median days on market, share of listings that have cut price, absorption rate and the agent/private split.", "default": true }, "minAreaSample": { "title": "Minimum listings for a reliable neighbourhood", "minimum": 1, "maximum": 50, "type": "integer", "description": "Neighbourhoods with fewer active listings than this are still returned, but flagged lowConfidence — their medians are drawn from too small a sample to rely on.", "default": 3 }, "scoreWeights": { "title": "Motivated-seller weights", "type": "object", "description": "Retune how the score is built. staleness rewards time on market, dropDepth rewards how far the price has fallen, dropCount rewards repeated cuts. Defaults are 45 / 40 / 15. Pair this with Dry run while you experiment." } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } }