# Emprego SAPO Scraper – Portugal Jobs (`blackfalcondata/emprego-sapo-scraper`) Actor Scrape job listings from emprego.sapo.pt — Portugal's leading job board. Extracts employment type, work model, and detailed descriptions from each listing page. Incremental tracking surfaces only new and changed listings on each run. Filters by district and work hours. - **URL**: https://apify.com/blackfalcondata/emprego-sapo-scraper.md - **Developed by:** [Black Falcon Data](https://apify.com/blackfalcondata) (community) - **Categories:** Jobs - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.50 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ### What does Emprego SAPO Scraper do? Emprego SAPO Scraper extracts structured job data from [emprego.sapo.pt](https://emprego.sapo.pt) — including company metadata, employment type, work model, and full descriptions. It supports keyword search, district filters, and controllable result limits, so you can run the same query consistently over time. The actor also offers detail enrichment (full descriptions, education and experience requirements) where the source provides them. ### Key features - **Incremental mode** — recurring runs emit and charge only for listings that are new or whose tracked content changed. First run builds the baseline state; subsequent runs emit only new or changed records. - **Detail enrichment** — full descriptions and company metadata where the source provides them. - **Compact mode** — AI-agent and MCP-friendly payloads with core fields only. ### What data can you extract from emprego.sapo.pt? Each result includes Core listing fields (`jobId`, `jobKey`, `title`, `pitch`, `location`, `district`, `municipality`, and `country`, and more), detail fields when enrichment is enabled (`description`, `descriptionText`, `descriptionHtml`, `descriptionMarkdown`, and `detailFetched`), and company metadata (`company`, `companyId`, `companyLogo`, and `companyUrl`). In standard mode, all fields are always present — unavailable data points are returned as `null`, never omitted. In compact mode, only core fields are returned. Enable detail enrichment in the input to get richer fields such as full descriptions and company metadata where the source provides them. ### Input The main inputs are a search keyword, an optional location filter, and a result limit. Additional filters and options are available in the input schema. Key parameters: - **`query`** — Job search keywords. Leave empty to return all listings. - **`location`** — Portuguese district slug to filter by (e.g. lisboa, porto, braga, setubal). Leave empty for all districts. - **`workHours`** — Filter by work hours type. (default: `""`) - **`sortOrder`** — Order in which to return results. (default: `"mais-recentes"`) - **`daysOld`** — Only return jobs published within the last N days. 0 = no limit. (default: `0`) - **`maxResults`** — Maximum total results (0 = unlimited, up to 9999). (default: `25`) - **`includeDetails`** — Fetch full job details from each listing page (full description, validThrough, educationLevel, experienceLevel). Doubles request count. (default: `true`) - **`descriptionMaxLength`** — Truncate description to N characters. 0 = no truncation. (default: `0`) - **`compact`** — Return only core fields (jobId, title, company, location, employmentType, url, postedAt). (default: `false`) - **`incrementalMode`** — Only emit NEW, UPDATED, and EXPIRED jobs relative to a prior run. Requires stateKey. (default: `false`) - **`stateKey`** — Unique key to persist incremental state across runs (e.g. 'my-portugal-feed'). Required when incrementalMode is true. - **`emitUnchanged`** — Also emit UNCHANGED jobs (not just NEW/UPDATED/EXPIRED). Only applies when incrementalMode is true. (default: `false`) - ...and 1 more parameters ### Input examples **Basic search** — Keyword-driven search with a result cap. → Full payload per result — all standard fields populated where the source provides them. ```json { "query": "software engineer", "maxResults": 50 } ```` **Incremental tracking** — Only emit jobs that changed since the previous run with this `stateKey`. → First run builds the baseline state. Subsequent runs emit only records that are new or whose tracked content changed. Set `emitUnchanged: true` to include unchanged records as well. ```json { "query": "software engineer", "maxResults": 200, "incrementalMode": true, "stateKey": "software-engineer-tracker" } ``` **Compact output for AI agents** — Return only core fields for AI-agent and MCP workflows. → Small payload with the most important fields — ideal for piping into LLMs without token overhead. ```json { "query": "software engineer", "maxResults": 50, "compact": true } ``` ### Output Each run produces a dataset of structured job records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console. #### Example job record ```json { "jobId": "fc605394237ba236b0f739b8ac6eab02ed79ab22b044d776daa33bbe86531409", "jobKey": "30d53bfc-7fc1-4c6e-b7b0-7c289c16ae14", "title": "Comercial (m/f) - Distrito de Setúbal -ID: 26000944", "pitch": null, "company": "Prosegur Alarmes Dissuasão Portugal, Unipessoal, Lda.", "companyId": "88c6b307-bad6-4a27-83b8-177117bf67a2", "companyLogo": "V2:nTftFtW/cnt5A/yoI9QHKU967Vfk7YqAjEdzRfmu+TF/BHModEwAUQus02Fazi3VbiOQ1aP3ukpLzVJtM+gXHnIZ3Z+Xeyf5QvZDEd5/O35KoCgNJ+B6wpJ3SHQ8Fs5R", "companyUrl": "https://emprego.sapo.pt/offers/company/prosegur-alarmes-dissuasao-portugal-unipessoal-lda?id=88c6b307-bad6-4a27-83b8-177117bf67a2", "location": "Setúbal", "district": "Setúbal", "municipality": null, "country": "Portugal", "description": "A Prosegur Alarms, empresa líder em soluções de segurança para residências e empresas, procura reforçar a sua equipa comercial. Procuramos profissionais dinâmicos e motivados para desenvolver e gerir...", "descriptionText": "A Prosegur Alarms, empresa líder em soluções de segurança para residências e empresas, procura reforçar a sua equipa comercial. Procuramos profissionais dinâmicos e motivados para desenvolver e gerir...", "descriptionHtml": "A Prosegur Alarms, empresa líder em soluções de segurança para residências e empresas, procura reforçar a sua equipa comercial. Procuramos profissionais dinâmicos e motivados para desenvolver e gerir...", "descriptionMarkdown": "A Prosegur Alarms, empresa líder em soluções de segurança para residências e empresas, procura reforçar a sua equipa comercial. Procuramos profissionais dinâmicos e motivados para desenvolver e gerir...", "industry": null, "salaryCurrency": null, "employmentType": "Full-Time", "workModel": null, "publishedAge": "last_day", "postedAt": "2026-04-10", "validThrough": null, "experienceLevel": null, "educationLevel": null, "isHighlighted": true, "canonical": "comercial-mf-distrito-de-setubal-id-26000944", "url": "https://emprego.sapo.pt/offers/comercial-mf-distrito-de-setubal-id-26000944?id=30d53bfc-7fc1-4c6e-b7b0-7c289c16ae14", "portalUrl": "https://emprego.sapo.pt/offers/comercial-mf-distrito-de-setubal-id-26000944?id=30d53bfc-7fc1-4c6e-b7b0-7c289c16ae14", "contentHash": null, "searchQuery": "", "contentQuality": "serp_only", "detailFetched": false, "scrapedAt": "2026-04-12T21:17:14.833Z", "source": "emprego.sapo.pt", "changeType": "NEW" } ``` ### How to scrape emprego.sapo.pt 1. Go to [Emprego SAPO Scraper](https://apify.com/blackfalcondata/emprego-sapo-scraper) in Apify Console. 2. Enter a search keyword and optional location filter. 3. Set `maxResults` to control how many results you need. 4. Enable `includeDetails` if you need full descriptions, education/experience requirements, or industry data. 5. Click **Start** and wait for the run to finish. 6. Export the dataset as JSON, CSV, or Excel. ### Use cases - Extract job data from emprego.sapo.pt for market research and competitive analysis. - Track salary trends across regions and categories over time. - Monitor new and changed listings on scheduled runs without processing the full dataset every time. - Research company hiring patterns, employer profiles, and industry distribution. - Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode. - Export clean, structured data to dashboards, spreadsheets, or data warehouses. ### How much does it cost to scrape emprego.sapo.pt? Emprego SAPO Scraper uses [pay-per-event](https://docs.apify.com/platform/actors/paid-actors/pay-per-event) pricing. You pay a small fee when the run starts and then for each result that is actually produced. - **Run start:** $0.005 per run - **Per result:** $0.0015 per job record Example costs: - 10 results: **$0.02** - 100 results: **$0.15** - 500 results: **$0.76** #### Example: recurring monitoring savings These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of listings that are new or whose tracked content changed since the previous run. Actual churn depends on your query breadth, source activity, and polling frequency — the scenarios below are examples, not predictions. Example setup: 100 results per run, daily polling (30 runs/month). Event-pricing examples scale linearly with result count. | Churn rate | Full re-scrape run cost | Incremental run cost | Savings vs full re-scrape | Monthly cost after baseline | |---|---:|---:|---:|---:| | 5% — stable niche query | $0.15 | $0.01 | $0.14 (92%) | $0.38 | | 15% — moderate broad query | $0.15 | $0.03 | $0.13 (82%) | $0.82 | | 30% — high-volume aggregator | $0.15 | $0.05 | $0.11 (68%) | $1.50 | Full re-scrape monthly cost at daily polling: $4.65. First month with incremental costs $0.52 / $0.95 / $1.60 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply. ### FAQ #### How many results can I get from emprego.sapo.pt? The number of results depends on the search query and available listings on emprego.sapo.pt. Use the `maxResults` parameter to control how many results are returned per run. #### Does Emprego SAPO Scraper support recurring monitoring? Yes. Enable incremental mode to only receive new or changed listings on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset. #### Can I integrate Emprego SAPO Scraper with other apps? Yes. Emprego SAPO Scraper works with Apify's [integrations](https://apify.com/integrations) to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes. #### Can I use Emprego SAPO Scraper with the Apify API? Yes. You can start runs, manage inputs, and retrieve results programmatically through the [Apify API](https://docs.apify.com/api/v2). Client libraries are available for JavaScript, Python, and other languages. #### Can I use Emprego SAPO Scraper through an MCP Server? Yes. Apify provides an [MCP Server](https://apify.com/apify/actors-mcp-server) that lets AI assistants and agents call this actor directly. Use compact mode and `descriptionMaxLength` to keep payloads manageable for LLM context windows. #### Is it legal to scrape emprego.sapo.pt? This actor extracts publicly available data from emprego.sapo.pt. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant. #### Your feedback If you have questions, need a feature, or found a bug, please [open an issue](https://apify.com/blackfalcondata/emprego-sapo-scraper/issues) on the actor's page in Apify Console. Your feedback helps us improve. ### You might also like - [Adzuna Job Scraper](https://apify.com/blackfalcondata/adzuna-scraper) — Scrape adzuna.com — the global job board with 20+ country markets. Structured salary. - [Arbeitsagentur Scraper — German Jobs](https://apify.com/blackfalcondata/arbeitsagentur-scraper) — Scrape arbeitsagentur.de — Germany’s official employment portal with 1M+ listings. Contact data,. - [Bayt.com Scraper — Jobs from the Middle East](https://apify.com/blackfalcondata/bayt-scraper) — Scrape bayt.com — the leading Middle East job board. Salary data, experience requirements. - [Bumeran Scraper](https://apify.com/blackfalcondata/bumeran-scraper) — Scrape bumeran.com.ar — the largest job board across 8 LATAM countries. Work modality, contract. - [Cadremploi Job Scraper](https://apify.com/blackfalcondata/cadremploi-scraper) — Scrape cadremploi.fr — French management and executive jobs. Salary ranges, apply links. - [Dice.com Job Scraper — U.S. Tech Jobs](https://apify.com/blackfalcondata/dice-com-job-scraper) — Scrape dice.com — the leading U.S. tech job board. Structured salary (min/max/currency),. - [Drushim Scraper — Israel Job Listings](https://apify.com/blackfalcondata/drushim-scraper) — Scrape drushim.co.il — Israel’s leading job board. Geo-coordinates per listing, multi-filter search. - [Duunitori Scraper — Finland Job Listings](https://apify.com/blackfalcondata/duunitori-scraper) — Scrape duunitori.fi — Finland’s largest job board with 22,000+ listings. Salary ranges, employment. # Actor input Schema ## `query` (type: `string`): Job search keywords. Leave empty to return all listings. ## `location` (type: `string`): Portuguese district slug to filter by (e.g. lisboa, porto, braga, setubal). Leave empty for all districts. ## `workHours` (type: `string`): Filter by work hours type. ## `sortOrder` (type: `string`): Order in which to return results. ## `daysOld` (type: `integer`): Only return jobs published within the last N days. 0 = no limit. ## `maxResults` (type: `integer`): Maximum total results (0 = unlimited, up to 9999). ## `includeDetails` (type: `boolean`): Fetch full job details from each listing page (full description, validThrough, educationLevel, experienceLevel). Doubles request count. ## `descriptionMaxLength` (type: `integer`): Truncate description to N characters. 0 = no truncation. ## `compact` (type: `boolean`): Return only core fields (jobId, title, company, location, salary, url, postedAt). ## `incrementalMode` (type: `boolean`): Only emit NEW, UPDATED, and EXPIRED jobs relative to a prior run. Requires stateKey. ## `stateKey` (type: `string`): Unique key to persist incremental state across runs (e.g. 'my-portugal-feed'). Required when incrementalMode is true. ## `emitUnchanged` (type: `boolean`): Also emit UNCHANGED jobs (not just NEW/UPDATED/EXPIRED). Only applies when incrementalMode is true. ## `emitExpired` (type: `boolean`): Also emit jobs that disappeared since the last run (changeType=EXPIRED). Only applies when incrementalMode is true. ## Actor input object example ```json { "query": "software engineer", "workHours": "", "sortOrder": "mais-recentes", "daysOld": 0, "maxResults": 5, "includeDetails": true, "descriptionMaxLength": 0, "compact": false, "incrementalMode": false, "emitUnchanged": false, "emitExpired": false } ``` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "query": "software engineer", "maxResults": 5 }; // Run the Actor and wait for it to finish const run = await client.actor("blackfalcondata/emprego-sapo-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 = { "query": "software engineer", "maxResults": 5, } # Run the Actor and wait for it to finish run = client.actor("blackfalcondata/emprego-sapo-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 '{ "query": "software engineer", "maxResults": 5 }' | apify call blackfalcondata/emprego-sapo-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=blackfalcondata/emprego-sapo-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Emprego SAPO Scraper – Portugal Jobs", "description": "Scrape job listings from emprego.sapo.pt — Portugal's leading job board. Extracts employment type, work model, and detailed descriptions from each listing page. Incremental tracking surfaces only new and changed listings on each run. Filters by district and work hours.", "version": "0.1", "x-build-id": "EUdgcm7ceyz1VX1kI" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/blackfalcondata~emprego-sapo-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-blackfalcondata-emprego-sapo-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/blackfalcondata~emprego-sapo-scraper/runs": { "post": { "operationId": "runs-sync-blackfalcondata-emprego-sapo-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/blackfalcondata~emprego-sapo-scraper/run-sync": { "post": { "operationId": "run-sync-blackfalcondata-emprego-sapo-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "query": { "title": "Search Query", "type": "string", "description": "Job search keywords. Leave empty to return all listings." }, "location": { "title": "District", "type": "string", "description": "Portuguese district slug to filter by (e.g. lisboa, porto, braga, setubal). Leave empty for all districts." }, "workHours": { "title": "Work Hours", "enum": [ "", "full-time", "part-time" ], "type": "string", "description": "Filter by work hours type.", "default": "" }, "sortOrder": { "title": "Sort Order", "enum": [ "mais-recentes", "relevancia", "mais-antigas", "nome-a-z", "nome-z-a" ], "type": "string", "description": "Order in which to return results.", "default": "mais-recentes" }, "daysOld": { "title": "Days Old", "minimum": 0, "maximum": 365, "type": "integer", "description": "Only return jobs published within the last N days. 0 = no limit.", "default": 0 }, "maxResults": { "title": "Max Results", "minimum": 0, "maximum": 9999, "type": "integer", "description": "Maximum total results (0 = unlimited, up to 9999).", "default": 25 }, "includeDetails": { "title": "Include Details", "type": "boolean", "description": "Fetch full job details from each listing page (full description, validThrough, educationLevel, experienceLevel). Doubles request count.", "default": true }, "descriptionMaxLength": { "title": "Description Max Length", "minimum": 0, "type": "integer", "description": "Truncate description to N characters. 0 = no truncation.", "default": 0 }, "compact": { "title": "Compact Output", "type": "boolean", "description": "Return only core fields (jobId, title, company, location, salary, url, postedAt).", "default": false }, "incrementalMode": { "title": "Incremental Mode", "type": "boolean", "description": "Only emit NEW, UPDATED, and EXPIRED jobs relative to a prior run. Requires stateKey.", "default": false }, "stateKey": { "title": "State Key", "type": "string", "description": "Unique key to persist incremental state across runs (e.g. 'my-portugal-feed'). Required when incrementalMode is true." }, "emitUnchanged": { "title": "Emit Unchanged", "type": "boolean", "description": "Also emit UNCHANGED jobs (not just NEW/UPDATED/EXPIRED). Only applies when incrementalMode is true.", "default": false }, "emitExpired": { "title": "Emit Expired", "type": "boolean", "description": "Also emit jobs that disappeared since the last run (changeType=EXPIRED). Only applies when incrementalMode is true.", "default": false } } }, "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 } } } } } } } } } } ```