# Probate & Foreclosure Leads Scraper (`solidcode/probate-foreclosure-leads-scraper`) Actor \[💰 $0.99 / 1K] Collect US distressed-property leads — probate, foreclosure, sheriff sale, tax lien, tax sale — from government open-data portals. Get case numbers, addresses, parties, sale dates, and amounts. Filter by event type, state, county, and date. For investors and wholesalers. - **URL**: https://apify.com/solidcode/probate-foreclosure-leads-scraper.md - **Developed by:** [SolidCode](https://apify.com/solidcode) (community) - **Categories:** Lead generation, Real estate, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.99 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Probate & Foreclosure Leads Scraper Pull US distressed-property leads at scale — probate, foreclosure, sheriff sale, tax lien, and tax sale events in one unified feed, complete with case numbers, property addresses, named parties, filing and sale dates, dollar amounts, and estimated equity. Built for real estate investors, wholesalers, title companies, note buyers, and probate attorneys who need a steady stream of motivated-seller leads from public government records without stitching together dozens of county portals by hand. ### Why This Scraper? - **Five distressed-event types in one feed** — probate, foreclosure, sheriff sale, tax lien, and tax sale leads normalized into a single flat schema, so you never scrape or reconcile one county at a time. - **Nationwide US coverage across government open-data portals** — pulls from dozens of county and state public-records sources and auto-picks-up new datasets as agencies publish them, no per-county setup. - **~30 normalized fields per lead** — every event maps onto the same record shape regardless of which portal it came from, so downstream imports stay stable across sources. - **Named parties on every applicable record** — decedent, executor/administrator, attorney of record, defendant/borrower, and plaintiff/lender pulled out into their own fields. - **Estimated equity computed for you** — `property_equity_estimate_usd` is derived as estimated value minus mortgage balance, letting you filter for high-equity, high-motivation leads directly. - **Parcel/APN, normalized address, and lat/lng geocodes** — each lead carries a parcel/APN identifier, a cleaned property address, and latitude/longitude where the source publishes them for mapping and skip-tracing. - **Case and docket numbers preserved** — court case, docket, cause, or file numbers captured so you can cross-reference the original public record. - **Filing and sale dates on every record** — filing/notice dates for probate and lien events, scheduled/actual auction dates for foreclosure and sheriff/tax sales. - **Original source row kept alongside the clean record** — every lead includes `raw_source_fields`, the untouched government row, so no data is ever lost in normalization. ### Use Cases **Real-Estate Investing & Wholesaling** - Source motivated sellers before properties hit the MLS - Target high-equity probate estates and pre-foreclosures for direct-mail campaigns - Build auction lists from upcoming sheriff and tax sales with opening bids - Map leads by lat/lng to focus on your buy-box neighborhoods **Lead Generation** - Filter for high-equity leads nationwide with a single minimum-equity threshold - Segment by event type — run separate probate, foreclosure, and tax-lien campaigns - Pull named parties (decedent, executor, defendant) for skip-tracing and outreach - Feed fresh distressed-property leads into your CRM on a schedule **Title & Legal** - Identify probate estates and their executors/attorneys for estate-sale outreach - Track lien amounts and tax-sale dates for redemption and payoff work - Cross-reference case and docket numbers against court records - Monitor foreclosure filings by county for title and closing pipelines **Market Research** - Measure distressed-inventory volume by state, county, and event type - Track sale prices, opening bids, and winning bids across auctions - Analyze equity distribution to gauge distress depth in a market - Benchmark filing and sale-date trends over custom date ranges ### Getting Started #### All foreclosures in California ```json { "eventTypes": ["foreclosure"], "states": ["CA"], "maxResults": 200 } ```` #### Probate and tax-lien leads in Texas for 2024 ```json { "eventTypes": ["probate", "tax_lien"], "states": ["TX"], "dateFrom": "2024-01-01", "dateTo": "2024-12-31", "maxResults": 500 } ``` #### High-equity distressed leads nationwide ```json { "minEstimatedEquity": 100000, "eventTypes": ["foreclosure", "sheriff_sale"], "states": ["FL", "GA"], "maxResults": 1000 } ``` ### Input Reference #### What to Collect | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `eventTypes` | array (select) | `[]` (all) | Which distressed-property events to collect: Probate, Foreclosure, Sheriff Sale, Tax Lien, Tax Sale. Leave empty to include all five types. | | `states` | array | `[]` (all) | Restrict results to specific US states by two-letter code (e.g. "CA", "NY", "TX"). Leave empty to include all available states. | | `counties` | array | `[]` (all) | Restrict results to specific counties by name (e.g. "King", "Cook", "Orleans"). Matching is case-insensitive. Leave empty to include all counties. | #### Date & Value Filters | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `dateFrom` | string | `""` | Only include events with a sale date or filing date on or after this date. Use the format YYYY-MM-DD (e.g. 2025-01-01). Leave blank for no start date. | | `dateTo` | string | `""` | Only include events with a sale date or filing date on or before this date. Use the format YYYY-MM-DD (e.g. 2025-12-31). Leave blank for no end date. | | `minEstimatedEquity` | integer | `0` | Only include records where estimated property value minus mortgage balance is at least this many dollars. Set to 0 to disable. Equity comes from value and mortgage columns that only some sources publish, so this filter works best combined with an event type and a state. | | `onlyOwnerOccupied` | boolean | `false` | Only include records that are verifiably owner-occupied. Records where owner-occupancy cannot be confirmed are dropped. | #### Options | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `maxResults` | integer | `100` | Maximum number of lead records to return across all sources. Set to 0 for unlimited. Tip: start with 25-50 to test, then increase. | ### Output Each result is one distressed-property event, normalized to the same flat shape regardless of source. Here's a representative foreclosure lead: ```json { "event_id": "data.lacity.org:abcd-1234:CV2024-00789", "event_type": "foreclosure", "source_url": "https://data.lacity.org/d/abcd-1234", "dataset_name": "Foreclosure Notices", "domain": "data.lacity.org", "county": "Los Angeles", "state": "CA", "filing_date": "2024-03-12", "sale_date": "2024-06-18", "case_number": "CV2024-00789", "decedent_name": null, "executor_name": null, "attorney_name": "Morrison & Clark LLP", "defendant_name": "John A. Rivera", "plaintiff_name": "First National Mortgage", "property_address": "2401 Thornton Rd, Los Angeles, CA 90032", "property_address_normalized": "2401 thornton rd los angeles ca 90032", "parcel_apn": "5201-014-023", "property_type": "Single Family", "estimated_value_usd": 589000, "mortgage_balance_usd": 312000, "lien_amount_usd": null, "opening_bid_usd": 325400, "winning_bid_usd": null, "owner_occupied": true, "property_equity_estimate_usd": 277000, "status": "Pending", "lat": 34.0812, "lng": -118.1765, "raw_source_fields": { "case_no": "CV2024-00789", "situs_address": "2401 Thornton Rd" } } ``` #### Core & Event | Field | Type | Description | |-------|------|-------------| | `event_id` | string | Stable unique identifier for the lead | | `event_type` | string | One of probate, foreclosure, sheriff\_sale, tax\_lien, tax\_sale | | `source_url` | string | Link to the source government dataset | | `dataset_name` | string | Human-readable title of the source dataset | | `domain` | string | Government portal the record came from | | `case_number` | string | Court case, docket, cause, or file number | | `status` | string | Event status (e.g. Pending, Sold) | | `filing_date` | string | Filing/notice date (ISO), where applicable | | `sale_date` | string | Scheduled or actual sale date (ISO), where applicable | | `raw_source_fields` | object | The original untouched government row | #### Parties | Field | Type | Description | |-------|------|-------------| | `decedent_name` | string | Probate: name of the decedent | | `executor_name` | string | Probate: executor or administrator | | `attorney_name` | string | Attorney of record | | `defendant_name` | string | Foreclosure/sheriff sale: defendant or borrower | | `plaintiff_name` | string | Foreclosure/sheriff sale: plaintiff or lender | #### Property & Location | Field | Type | Description | |-------|------|-------------| | `property_address` | string | Raw property address | | `property_address_normalized` | string | Cleaned/normalized property address | | `parcel_apn` | string | Parcel or APN identifier | | `property_type` | string | Property type where available | | `county` | string | County name | | `state` | string | Two-letter US state code | | `lat` | number | Latitude where geocoded | | `lng` | number | Longitude where geocoded | #### Amounts & Equity | Field | Type | Description | |-------|------|-------------| | `estimated_value_usd` | number | Estimated property value (USD) | | `mortgage_balance_usd` | number | Outstanding mortgage balance (USD) | | `lien_amount_usd` | number | Lien amount (USD) | | `opening_bid_usd` | number | Auction opening bid (USD) | | `winning_bid_usd` | number | Auction winning bid (USD) | | `property_equity_estimate_usd` | number | Estimated equity (value minus mortgage) | | `owner_occupied` | boolean | Whether the property is owner-occupied | Many fields are null on any given record — a probate lead carries decedent and executor names but no opening bid, while a tax-sale lead carries a lien amount but no decedent. This is expected: every event type shares one schema, and only the fields relevant to that event are populated. ### Tips for Best Results - **Start small** — set `maxResults` to 25-50 on your first run to confirm the leads match your needs, then scale up. - **Narrow by event type + state for equity filtering** — `minEstimatedEquity` is derived from value and mortgage columns that only some sources publish, so pairing it with an event type and a state runs faster and returns more usable leads than filtering nationwide alone. - **Not every county publishes every event type** — a probate-only run in one state may return few or no leads simply because those agencies don't publish that record type; widen the state list or event types if a run comes back thin. - **Use `property_equity_estimate_usd` to rank motivation** — high-equity distressed owners are the most likely to sell at a discount; sort or filter on this field to prioritize outreach. - **Pull named parties for skip-tracing** — `defendant_name`, `executor_name`, and `decedent_name` are your starting point for finding current contact details. - **Combine date bounds with event type** — probate and lien filings use filing dates while auctions use sale dates, so a date window applied to a single event type gives the cleanest slice. - **Keep `raw_source_fields`** — if a source publishes an extra field you need that isn't in the normalized schema, it's preserved verbatim in the raw row. ### Pricing **From $0.99 per 1,000 results** — a flat pay-per-result rate that undercuts per-record distressed-lead sourcing at volume. Bronze, Silver, and Gold subscribers pay progressively less; the table below shows total cost at each discount tier. | Results | No discount | Bronze | Silver | Gold | |---------|-------------|--------|--------|------| | 100 | $0.115 | $0.110 | $0.105 | $0.099 | | 1,000 | $1.15 | $1.10 | $1.05 | $0.99 | | 10,000 | $11.50 | $11.00 | $10.50 | $9.90 | | 100,000 | $115.00 | $110.00 | $105.00 | $99.00 | A "result" is any lead record in the output dataset. No compute or time-based charges — you pay per result, plus a small fixed per-run start fee. ### Integrations Export data in JSON, CSV, Excel, XML, or RSS. Connect to 1,500+ apps via: - **Zapier** / **Make** / **n8n** — Workflow automation - **Google Sheets** — Direct spreadsheet export - **Slack** / **Email** — Notifications on new leads - **Webhooks** — Trigger custom APIs on run completion - **Apify API** — Full programmatic access ### Legal & Ethical Use This actor collects distressed-property information from public government open-data records. Use it responsibly and in compliance with all applicable laws and regulations, including the Fair Debt Collection Practices Act (FDCPA), Do-Not-Call (DNC) rules, and state and federal privacy laws when contacting leads. Do not use extracted data for harassment, discrimination, or any unlawful purpose. You are responsible for how you use the data. # Actor input Schema ## `eventTypes` (type: `array`): Which distressed-property events to collect. Leave empty to include all five types. ## `states` (type: `array`): Restrict results to specific US states by two-letter code (e.g. 'CA', 'NY', 'TX'). Leave empty to include all available states. ## `counties` (type: `array`): Restrict results to specific counties by name (e.g. 'King', 'Cook', 'Orleans'). Matching is case-insensitive. Leave empty to include all counties. ## `dateFrom` (type: `string`): Only include events with a sale date or filing date on or after this date. Use the format YYYY-MM-DD (e.g. 2025-01-01). Leave blank for no start date. ## `dateTo` (type: `string`): Only include events with a sale date or filing date on or before this date. Use the format YYYY-MM-DD (e.g. 2025-12-31). Leave blank for no end date. ## `minEstimatedEquity` (type: `integer`): Only include records where the estimated property value minus the mortgage balance is at least this many dollars. Set to 0 to disable this filter. Equity is derived from value and mortgage columns that only some data sources publish, so this filter works best combined with an event type and a state to narrow the search — on its own it scans every source and returns fewer results. ## `onlyOwnerOccupied` (type: `boolean`): Only include records that are verifiably owner-occupied. Records where owner-occupancy cannot be confirmed are dropped. Note: very few data sources publish an owner-occupancy field, so this filter only applies where the source data exposes it — on most event types it returns a small number of leads. It works best combined with a specific event type (such as tax lien) and a state or county to narrow the search. ## `maxResults` (type: `integer`): Maximum number of lead records to return across all sources. Set to 0 for unlimited. Tip: start with 25-50 to test, then increase. Note: a single run returns at most ~200,000 results, so 0 (unlimited) is still bounded — split larger jobs across several runs by state, county, event type, or date range. Extremely broad, unfiltered runs are also bounded to a maximum number of sources per run, so narrow by event type or state for full nationwide coverage. ## Actor input object example ```json { "eventTypes": [], "states": [], "counties": [], "minEstimatedEquity": 0, "onlyOwnerOccupied": false, "maxResults": 100 } ``` # Actor output Schema ## `overview` (type: `string`): Table of scraped distressed-property leads with key fields. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "eventTypes": [], "states": [], "counties": [], "dateFrom": "", "dateTo": "", "minEstimatedEquity": 0, "onlyOwnerOccupied": false, "maxResults": 100 }; // Run the Actor and wait for it to finish const run = await client.actor("solidcode/probate-foreclosure-leads-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "eventTypes": [], "states": [], "counties": [], "dateFrom": "", "dateTo": "", "minEstimatedEquity": 0, "onlyOwnerOccupied": False, "maxResults": 100, } # Run the Actor and wait for it to finish run = client.actor("solidcode/probate-foreclosure-leads-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "eventTypes": [], "states": [], "counties": [], "dateFrom": "", "dateTo": "", "minEstimatedEquity": 0, "onlyOwnerOccupied": false, "maxResults": 100 }' | apify call solidcode/probate-foreclosure-leads-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=solidcode/probate-foreclosure-leads-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Probate & Foreclosure Leads Scraper", "description": "[💰 $0.99 / 1K] Collect US distressed-property leads — probate, foreclosure, sheriff sale, tax lien, tax sale — from government open-data portals. Get case numbers, addresses, parties, sale dates, and amounts. Filter by event type, state, county, and date. For investors and wholesalers.", "version": "1.0", "x-build-id": "W1SwFENbqa47mqb0v" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/solidcode~probate-foreclosure-leads-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-solidcode-probate-foreclosure-leads-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/solidcode~probate-foreclosure-leads-scraper/runs": { "post": { "operationId": "runs-sync-solidcode-probate-foreclosure-leads-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/solidcode~probate-foreclosure-leads-scraper/run-sync": { "post": { "operationId": "run-sync-solidcode-probate-foreclosure-leads-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "eventTypes": { "title": "Event Types", "type": "array", "description": "Which distressed-property events to collect. Leave empty to include all five types.", "items": { "type": "string", "enum": [ "probate", "foreclosure", "sheriff_sale", "tax_lien", "tax_sale" ], "enumTitles": [ "Probate", "Foreclosure", "Sheriff Sale", "Tax Lien", "Tax Sale" ] } }, "states": { "title": "States", "type": "array", "description": "Restrict results to specific US states by two-letter code (e.g. 'CA', 'NY', 'TX'). Leave empty to include all available states.", "items": { "type": "string" } }, "counties": { "title": "Counties", "type": "array", "description": "Restrict results to specific counties by name (e.g. 'King', 'Cook', 'Orleans'). Matching is case-insensitive. Leave empty to include all counties.", "items": { "type": "string" } }, "dateFrom": { "title": "Date From", "type": "string", "description": "Only include events with a sale date or filing date on or after this date. Use the format YYYY-MM-DD (e.g. 2025-01-01). Leave blank for no start date." }, "dateTo": { "title": "Date To", "type": "string", "description": "Only include events with a sale date or filing date on or before this date. Use the format YYYY-MM-DD (e.g. 2025-12-31). Leave blank for no end date." }, "minEstimatedEquity": { "title": "Minimum Estimated Equity (USD)", "minimum": 0, "type": "integer", "description": "Only include records where the estimated property value minus the mortgage balance is at least this many dollars. Set to 0 to disable this filter. Equity is derived from value and mortgage columns that only some data sources publish, so this filter works best combined with an event type and a state to narrow the search — on its own it scans every source and returns fewer results.", "default": 0 }, "onlyOwnerOccupied": { "title": "Owner-Occupied Only", "type": "boolean", "description": "Only include records that are verifiably owner-occupied. Records where owner-occupancy cannot be confirmed are dropped. Note: very few data sources publish an owner-occupancy field, so this filter only applies where the source data exposes it — on most event types it returns a small number of leads. It works best combined with a specific event type (such as tax lien) and a state or county to narrow the search.", "default": false }, "maxResults": { "title": "Max Results", "minimum": 0, "type": "integer", "description": "Maximum number of lead records to return across all sources. Set to 0 for unlimited. Tip: start with 25-50 to test, then increase. Note: a single run returns at most ~200,000 results, so 0 (unlimited) is still bounded — split larger jobs across several runs by state, county, event type, or date range. Extremely broad, unfiltered runs are also bounded to a maximum number of sources per run, so narrow by event type or state for full nationwide coverage.", "default": 100 } } }, "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 } } } } } } } } } } ```