# Funeral Home Lead Finder - Tribute, Frazer, Passare (`seibs.co/funeral-home-lead-finder`) Actor Enriched Google Maps leads for US funeral homes, mortuaries, crematories, cemeteries, pet aftercare. Detects Tribute, Continental Computing, Frazer, Passare, FAM, FuneralONE, Halcyon, ASD. SCI/Dignity, Carriage, Park Lawn, StoneMor pre-blocked. - **URL**: https://apify.com/seibs.co/funeral-home-lead-finder.md - **Developed by:** [Seibs.co](https://apify.com/seibs.co) (community) - **Categories:** Lead generation, Business, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $4.00 / 1,000 base lead records This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 ## Funeral Home Lead Finder Enriched US funeral home, mortuary, crematory, and cemetery leads from Google Maps with deathcare SaaS detection. Major rollups pre-blocked. ### What does Funeral Home Lead Finder do? Funeral Home Lead Finder pulls Google Maps listings for US funeral homes, mortuaries, crematories, cemeteries, casket / monument retailers, preplanning offices, and pet aftercare providers. Each record is enriched with phone, website, emails, social handles, and detected deathcare-management platform usage. Major rollups (Service Corporation International / Dignity Memorial, Carriage Services, Park Lawn, StoneMor, Foundation Partners) are pre-blocked so the dataset surfaces only family-owned independents. ### Features - US-wide Google Maps coverage across 6 deathcare sub-verticals. - Service line classification: funeral_home, crematory, cemetery, casket_monument, preplanning, pet_aftercare. - Major chains pre-blocked (SCI / Dignity, Carriage, Park Lawn, StoneMor, Foundation Partners, NorthStar Memorial Group). - Email scraping with role bucketing. - Deathcare platform detection: Tribute Technology, Continental Computing, Frazer, Passare, FuneralONE, FDMS, Halcyon, ASD answering service. - Preneed insurance carrier signals (Homesteaders, Global Atlantic, NGL). - Social handle extraction. - Confidence score per record. - Pay-per-event pricing. ### Use cases - Deathcare SaaS outbound for Tribute Technology, Continental Computing, Frazer, Passare, FuneralONE, FDMS, Halcyon, ASD competitors. - Funeral-PE rollup sourcing (Foundation Partners, Park Lawn add-on acquisitions). - Preneed insurance carrier prospecting (Homesteaders, Global Atlantic, NGL). - Casket / urn / register-book supplier sales to independents. - Crematory equipment vendor sales (Matthews, B&L Cremation Systems). - Pet aftercare market sizing - rapidly growing sub-vertical. ### FAQ **Q: Is this legal?** A: Yes. Data is sourced from publicly listed Google Maps business profiles and the firms' own public websites. No login walls are bypassed; no private data is scraped. You are responsible for compliance with CAN-SPAM, TCPA, and state privacy laws when contacting the leads. **Q: Why might a run fail or return zero records?** A: The most common cause is the Apify free-plan compute / proxy credit ceiling - large premium runs can exhaust it mid-run. We soft-fail by default so the run still finishes with whatever was already enriched and writes a partial dataset rather than throwing. If a paid run errors out, check the run log for the rate-limit or proxy-bandwidth message. **Q: Why are SCI / Dignity Memorial, Carriage, Park Lawn etc excluded?** A: We target family-owned independents (1-5 locations) because that is where the deathcare SaaS, preneed insurance, and casket/urn supplier TAM lives. Public rollups run centralized procurement and custom internal stacks - they aren't realistic buyers for Tribute / Frazer / Passare-class products, so they are pre-blocked when `exclude_chains: true`. Set `exclude_chains: false` if you specifically want corporate locations. **Q: How fresh is the data?** A: Records are fetched live at run time - Google Maps listings reflect the current snapshot, and website enrichment reflects the homepage as of the run timestamp (`scraped_at`). There is no stale cache. **Q: Can I schedule daily or weekly runs?** A: Yes. Use Apify's built-in Schedules feature to run this actor on any cron interval. Pair with a webhook to push only the diff (new homes, changed tech_stack) to your CRM. **Q: Does it integrate with my CRM?** A: Yes - via Zapier, Make, n8n, or direct webhook. Dataset records map cleanly into HubSpot, Salesforce, Pipedrive, Clay, Apollo, and Instantly. See the Integrations section below. **Q: What does it cost in practice?** A: Pay-per-event: $0.004 base, $0.008 with email, $0.015 fully enriched with deathcare-platform or preneed-insurance signals. A typical statewide independent run lands in the $5-30 range. No subscription, no minimum. --- ### Related Actors Pair this actor with other SEIB intelligence sources to build a richer outbound motion: - [US Gov Contracts Intel](https://apify.com/seibs.co/us-gov-contracts-intel) - find funeral homes holding federal contracts (VA national cemeteries, Memorial Day vendors, DoD repatriation) - [B2B Sales Triggers](https://apify.com/seibs.co/b2b-sales-triggers) - detect ownership changes, succession events, and hiring spikes to time the outreach - [Google Maps Reviews Pro](https://apify.com/seibs.co/google-maps-reviews-pro) - pull full review history per location to score reputation and surface complaint patterns --- ### Integrations ```` - Zapier - push to HubSpot/Salesforce/Pipedrive/Apollo - Make.com - workflow automation - n8n - self-hosted automation - Apify webhooks - POST to your endpoint - API + dataset export (JSON/CSV/Excel/XML) - MCP / AI agents - call from Claude/GPT/LangChain ```` --- ### Input The Actor takes a JSON input. Full schema: see the Input tab. ```json { "search_terms": ["funeral home", "mortuary", "crematory"], "locations": ["Austin, TX", "Dallas, TX", "Houston, TX"], "max_results_per_query": 100, "enrichment_tier": "premium", "service_lines": ["funeral_home", "crematory"], "exclude_chains": true } ```` ### Output **Sample output:** [`.actor/sample-output.json`](./.actor/sample-output.json) — copy-paste-ready preview of real-looking records. First record inline: ```json { "place_id": "ChIJRuNqJmFiBe7a3WzSvOrKnGjCf8b", "name": "Restful Pines Funeral Home", "category": "Funeral home", "vertical": "funeral_home", "service_line": "funeral_home", "address": { "street": "3872 Mission Rd", "city": "St. Louis", "state": "MO", "zip": "63101", "country": "US", "lat": 38.651, "lng": -90.2154 }, "phone": "(314) 555-1081", "phone_e164": "+13145550181", "website": "https://restfulpinesfh.com/", "google_maps_url": "https://www.google.com/maps/place/?q=place_id:ChIJRuNqJmFiBe7a3WzSvOrKnGjCf8b", "rating": 4.9, "reviews_count": 184, "hours": { "mon": "8:00 AM - 6:00 PM", "tue": "8:00 AM - 6:00 PM", "wed": "8:00 AM - 6:00 PM", "thu": "8:00 AM - 6:00 PM", "fri": "8:00 AM - 5:00 PM", "sat": "Closed", "sun": "Closed" }, "claimed": true, "scraped_at": "2026-05-10T10:23:10Z", "confidence_score": 0.62, "enrichment": { "tier": "premium", "emails": [ "info@restfulpinesfh.com", "hello@restfulpinesfh.com" ], "social": { "facebook": "https://www.facebook.com/restfulpinesfh", "instagram": "https://www.instagram.com/restfulpinesfh", "linkedin": "https://www.linkedin.com/company/restfulpinesfh" }, "tech_stack": [ "passare", "google_tag_manager", "tribute_tech", "halcyon" ], "license_numbers": [ "MO-101269" ], "service_area_mentions": [ "St. Louis", "Kansas City", "Springfield" ], "year_founded": 2014, "fleet_hints": [], "homepage_title": "Restful Pines Funeral Home | St. Louis, MO", "homepage_status": 200, "bbb": { "accredited": true, "rating": "A+" }, "open_24_7": false, "licensed_bonded_insured": false, "locations_count": 2, "spanish_speaking": false, "linkedin_company": "https://www.linkedin.com/company/restfulpinesfh", "yelp_url": "https://www.yelp.com/biz/restfulpinesfh-st.-louis", "third_party_reviews": [], "press_mentions": [], "awards": [], "team_size_hints": [ "5 team members" ], "owner_names": [ "Maria Chen" ], "employee_count": 8, "role_emails": { "executive": [ "mchen@restfulpinesfh.com" ], "billing": [ "billing@restfulpinesfh.com" ], "support": [ "support@restfulpinesfh.com" ], "generic": [ "info@restfulpinesfh.com" ] }, "financing_processors": [ "affirm", "klarna" ], "payment_processors": [ "square" ], "hiring_signals": { "actively_hiring": true, "indicators": [ "careers page link", "we're hiring banner" ] }, "insurance_carriers_accepted": [], "languages_offered": [], "online_booking_platforms": [ "calendly" ], "customer_count_signals": { "customers_served": 1500, "reviews_count": 184, "projects_completed": null, "locations_served": null, "raw_matches": [ "Trusted by 1500+ clients" ] }, "chatbot_platforms": [ "intercom" ], "email_marketing_platforms": [ "mailchimp" ], "lead_capture_ctas": { "has_free_quote_cta": true, "has_get_started_cta": true, "has_appointment_booking": false, "has_callback_request": true, "has_contact_form": true, "cta_count": 3 }, "mobile_app_links": { "has_ios_app": false, "has_android_app": false, "ios_app_id": null, "android_app_id": null }, "certifications_credentials": [ "NFDA" ], "financing_accepted": [ "credit_card", "cash" ], "growth_signals": { "growth_score": 0.4, "components": { "hiring": 0.6, "employee_scale": 0.4, "multi_location": 0.5 }, "indicators_count": 2 }, "jsonld": { "name": "Restful Pines Funeral Home", "phone": "(314) 555-1081", "email": "info@restfulpinesfh.com", "address": { "street": "3872 Mission Rd", "city": "St. Louis", "region": "MO", "zip": "63101" }, "opening_hours": [ "Mo-Fr 08:00-18:00" ], "social_urls": [ "https://www.facebook.com/restfulpinesfh", "https://www.instagram.com/restfulpinesfh" ], "aggregate_rating": { "rating": 4.9, "count": 184 }, "employee_count": 8, "founders": [ "Maria Chen" ] } } } ``` Each item is one independent funeral business with contact details and an `enrichment` block. Realistic sample: ```json { "place_id": "ChIJyyyyyyyyyyyyyyyyyyyyyy", "name": "Hillside Family Funeral Home", "service_line": "funeral_home", "category": "Funeral home", "vertical": "funeral_homes", "address": { "street": "412 W Anderson Ln", "city": "Austin", "state": "Texas", "zip": "78752", "country": "US", "lat": 30.3441, "lng": -97.7197 }, "phone": "(512) 555-0114", "phone_e164": "+15125550114", "website": "https://hillsidefamilyfh.com/", "google_maps_url": "https://www.google.com/maps/place/?q=place_id:ChIJyyyyyyyyyyyyyyyyyyyyyy", "rating": 4.9, "reviews_count": 312, "claimed": true, "confidence_score": 0.91, "scraped_at": "2026-05-14T19:22:11Z", "enrichment": { "tier": "premium", "emails": ["info@hillsidefamilyfh.com"], "social": { "facebook": "https://www.facebook.com/hillsidefamilyfh" }, "tech_stack": ["tribute_technology", "wordpress", "google_tag_manager"], "year_founded": 1962, "linkedin_company": "https://www.linkedin.com/company/hillside-family-funeral-home", "awards": ["best of austin 2024"], "homepage_status": 200 } } ``` The dataset preview ships with two tabs: **Overview** and **Detailed**. ### Pricing Pay-per-event - billed only on records actually emitted: | Event | Price | When charged | |---|---|---| | Base record | $0.004 | Every record | | Email enrichment | + $0.004 | At least one verified email scraped | | Premium signals | + $0.007 | Deathcare management platform or preneed insurance signal detected | **Effective:** $0.004 base / $0.008 with email / $0.015 fully enriched. A 1,000-record state-wide enriched run typically lands between $5 and $15. ### Support - Email: jtseib@live.com - Issues / feature requests: open an issue on the Actor's Issues tab in Apify Console. - See the rest of the SEIB lead-finder portfolio under [seibs.co](https://apify.com/seibs.co) on Apify. ### Changelog See [CHANGELOG.md](./CHANGELOG.md). # Actor input Schema ## `search_terms` (type: `array`): Google Maps search queries. Example: \['funeral home']. Up to 10 terms per run. ## `locations` (type: `array`): US locations. Format: 'City, ST' or ZIP. Up to 25 locations per run. ## `max_results_per_query` (type: `integer`): Cap per (term × location) tuple. Hard ceiling 500. Hard max 100 to protect compute budget. ## `enrichment_tier` (type: `string`): base = Maps profile only ($0.004/record). email = + scraped email ($0.008/record). premium = + platform/stack detection ($0.015/record). Default 'base' avoids per-record website-visit compute. Set 'premium' to enable deep tech-stack detection (incurs additional compute time). ## `service_lines` (type: `array`): Restrict output to these types. ## `exclude_chains` (type: `boolean`): Drop records matching the built-in chain blocklist. ## `max_concurrent_enrichments` (type: `integer`): Parallel HTTP fetches. 8 is safe. ## Actor input object example ```json { "search_terms": [ "funeral home" ], "locations": [ "Austin, TX" ], "max_results_per_query": 50, "enrichment_tier": "base", "service_lines": [], "exclude_chains": true, "max_concurrent_enrichments": 4 } ``` # Actor output Schema ## `datasetItems` (type: `string`): Narrow, token-efficient slice of every record. Consumer: LLM agents (Claude, GPT, LangChain tools), MCP hosts, dashboards. SDR-skim fields: name, vertical, service line, city, state, phone, email, website, confidence\_score. ## `datasetItemsDetailed` (type: `string`): All fields for every record. Consumer: humans browsing the dataset in the Apify UI, RAG ingest pipelines, and full backups. Larger payload — not recommended as a direct LLM tool response. ## `datasetItemsUnwind` (type: `string`): Same records, but each element of the `technologies` array is promoted to its own row. Consumer: Zapier / Make / n8n / Google Sheets users who want one row per item, and LLM agents that prefer flat rows over nested arrays. ## `datasetItemsMcp` (type: `string`): First 50 overview records as a clean JSON array. Wrap on the agent side in an MCP tool-call response envelope, e.g. `{ "ok": true, "data": , "meta": { "actor": "funeral-home-lead-finder", "count": , "view": "overview" } }`. Consumer: MCP servers, Claude Desktop, Cursor, OpenAI Assistants tool calls. ## `datasetItemsCsv` (type: `string`): Spreadsheet-friendly export of the overview view. Consumer: humans, sales-ops teams, Excel / Google Sheets users. # 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 = { "search_terms": [ "funeral home" ], "locations": [ "Austin, TX" ], "max_results_per_query": 50, "enrichment_tier": "base", "max_concurrent_enrichments": 4 }; // Run the Actor and wait for it to finish const run = await client.actor("seibs.co/funeral-home-lead-finder").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 = { "search_terms": ["funeral home"], "locations": ["Austin, TX"], "max_results_per_query": 50, "enrichment_tier": "base", "max_concurrent_enrichments": 4, } # Run the Actor and wait for it to finish run = client.actor("seibs.co/funeral-home-lead-finder").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 '{ "search_terms": [ "funeral home" ], "locations": [ "Austin, TX" ], "max_results_per_query": 50, "enrichment_tier": "base", "max_concurrent_enrichments": 4 }' | apify call seibs.co/funeral-home-lead-finder --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=seibs.co/funeral-home-lead-finder", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Funeral Home Lead Finder - Tribute, Frazer, Passare", "description": "Enriched Google Maps leads for US funeral homes, mortuaries, crematories, cemeteries, pet aftercare. Detects Tribute, Continental Computing, Frazer, Passare, FAM, FuneralONE, Halcyon, ASD. SCI/Dignity, Carriage, Park Lawn, StoneMor pre-blocked.", "version": "0.1", "x-build-id": "xrIKGvUZZMyQMW91b" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/seibs.co~funeral-home-lead-finder/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-seibs.co-funeral-home-lead-finder", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/seibs.co~funeral-home-lead-finder/runs": { "post": { "operationId": "runs-sync-seibs.co-funeral-home-lead-finder", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/seibs.co~funeral-home-lead-finder/run-sync": { "post": { "operationId": "run-sync-seibs.co-funeral-home-lead-finder", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "search_terms", "locations", "enrichment_tier" ], "properties": { "search_terms": { "title": "Search terms", "maxItems": 10, "type": "array", "description": "Google Maps search queries. Example: ['funeral home']. Up to 10 terms per run.", "default": [ "funeral home" ], "items": { "type": "string" } }, "locations": { "title": "Locations", "maxItems": 25, "type": "array", "description": "US locations. Format: 'City, ST' or ZIP. Up to 25 locations per run.", "default": [ "Austin, TX" ], "items": { "type": "string" } }, "max_results_per_query": { "title": "Max results per query", "minimum": 1, "maximum": 100, "type": "integer", "description": "Cap per (term × location) tuple. Hard ceiling 500. Hard max 100 to protect compute budget.", "default": 50 }, "enrichment_tier": { "title": "Enrichment tier", "enum": [ "base", "email", "premium" ], "type": "string", "description": "base = Maps profile only ($0.004/record). email = + scraped email ($0.008/record). premium = + platform/stack detection ($0.015/record). Default 'base' avoids per-record website-visit compute. Set 'premium' to enable deep tech-stack detection (incurs additional compute time).", "default": "base" }, "service_lines": { "title": "Funeral business types (optional filter)", "uniqueItems": true, "type": "array", "description": "Restrict output to these types.", "items": { "type": "string", "enum": [ "funeral_home", "crematory", "cemetery", "casket_monument", "preplanning", "pet_aftercare" ] }, "default": [] }, "exclude_chains": { "title": "Exclude major chains / national franchises", "type": "boolean", "description": "Drop records matching the built-in chain blocklist.", "default": true }, "max_concurrent_enrichments": { "title": "Max concurrent website enrichments", "minimum": 1, "maximum": 8, "type": "integer", "description": "Parallel HTTP fetches. 8 is safe.", "default": 4 } } }, "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 } } } } } } } } } } ```