# ๐Ÿ“ฐ Crunchbase News Scraper โ€” Daily Funding & M\&A Headlines (`nexgendata/crunchbase-news-scraper`) Actor Daily VC funding rounds, M\&A, IPO, startup news from Crunchbase News. Structured JSON with entity extraction, funding amount parsing, round-type classification. Bloomberg / Reuters Eikon / Refinitiv / Mergermarket / TechCrunch alternative. Pay-per-article. - **URL**: https://apify.com/nexgendata/crunchbase-news-scraper.md - **Developed by:** [NexGenData](https://apify.com/nexgendata) (community) - **Categories:** News, Business - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $100.00 / 1,000 news articles 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 ## ๐Ÿ“ฐ Crunchbase News Scraper โ€” Daily Funding & M&A Headlines > **VC funding rounds. Acquisitions. IPOs. Quarterly recaps. Startup launches.** One Actor, the full firehose from `news.crunchbase.com` โ€” the editorial side of Crunchbase, not the locked-down data platform. Pay-per-article, no $30K/seat Bloomberg or $20K/year Mergermarket contract. [**โ–ถ๏ธ Try this Actor โ†’**](https://apify.com/nexgendata/crunchbase-news-scraper) โ€” first article on us, $0.10 per article after. --- ### ๐ŸŽฏ Who this is for - **VC associates** running daily intel โ€” every Series A/B/C ann, every M&A whisper, in one structured JSON feed. - **Sales / BD teams** chasing founders who just raised. Trigger an outreach the morning the round is announced. - **Corporate development** tracking acquisitions in their sector โ€” see who Adobe, Salesforce, Cisco, Snowflake just bought. - **Investor relations** running competitive intel for their portfolio companies. - **Journalists & analysts** building newsletters, Substacks, sector reports. - **Quant funds** wiring "headline alpha" feeds into event-driven strategies. If you've ever paid $1,800/year for Term Sheet, $20K/year for Mergermarket, or $24K/seat for Reuters Eikon just to get the same headlines that Crunchbase News publishes for free โ€” this Actor turns that page into structured rows with entity extraction, funding amount parsing, and round-type classification. --- ### ๐Ÿ’ธ Pricing | What you pay | When | |---------------------------|------------------------------------------------------| | **$0.01 actor start** | Once per run (covers compute kickoff) | | **$0.10 per article** | Each article record pushed to dataset (the primary unit) | A typical daily intel run pulling the **last 24 hours across all categories (~15 articles)** is **$1.51**. A weekly bulk run pulling **100 articles** is **$10.01**. A monthly back-fill of **500 articles** is **$50.01**. That's <1% of what a Bloomberg Terminal seat costs to surface the same M&A and funding stories โ€” and ours is structured, queryable, and merges cleanly into your data warehouse. --- ### ๐Ÿ“ฅ Inputs | Field | Type | Description | |----------------------|----------|---------------------------------------------------------------------------------------------------------------------------------------------| | `limit` | int | Max articles to return (1โ€“500). Default 25. | | `category` | array | Restrict to Crunchbase News sections (`venture`, `ma`, `startups`, `business`, `public-markets`, `ai`, `fintech`, `cybersecurity`, `crypto`, `climate-sustainability`, `health-wellness-biotech`, `quarterly-and-annual-reports`, `sales-marketing`). Empty = ALL. | | `date_range` | string | `today` (last 24h), `week` (last 7d), `month` (last 30d), or `all`. Default `week`. | | `keyword_filter` | array | Case-insensitive substrings matched against title + excerpt. Examples: `["Series A","Series B"]`, `["IPO","SPAC"]`, `["acquires","acquired"]`. | | `include_full_text` | boolean | If `true`, `body_markdown` contains the full article body and `full_content=true`. Default `true`. | All fields are optional. An empty input runs the default "last 7 days, 25 articles, with full text" preset. --- ### ๐Ÿ“ค Output schema Each article record (one dataset row): | Field | Type | Example | |------------------------|-----------|--------------------------------------------------------------------| | `title` | string | `"Exclusive: Xpanner Lands $18M To Offer 'Automation As A Service' To Construction Sites"` | | `slug` | string | `"xpanner-automation-as-a-service-for-construction-sites-..."` | | `url` | string | `https://news.crunchbase.com/real-estate-property-tech/xpanner-...` | | `published_at` | ISO 8601 | `"2026-05-14T14:00:23+00:00"` | | `author` | string | `"Marlize van Romburgh"` | | `category` | string | `"Artificial intelligence"` | | `tags` | array | `["Manufacturing","Real estate & property tech","Robotics","Startups","unicorn"]` | | `excerpt` | string | First 200 chars of body text | | `mentioned_companies` | array | `["Xpanner"]` โ€” entity-extracted from anchor links to crunchbase.com/organization/* | | `mentioned_investors` | array | `["Korea Investment Partners","KB Investment Co."]` โ€” entity-extracted using investor heuristics | | `funding_amount_usd` | int/null | `18000000` โ€” parsed from headline + first 400 chars | | `round_type` | string | `"Series B"` โ€” Pre-Seed / Seed / Series Aโ€“G / Bridge / IPO / M&A | | `full_content` | boolean | `true` if `body_markdown` is populated | | `body_markdown` | string | Full article body in markdown (paragraphs, links, headings) | | `data_source` | string | `"news.crunchbase.com/feed (RSS)"` or `"news.crunchbase.com (HTML)"` | --- ### ๐Ÿ†š Crunchbase News vs the alternatives | Tool | Cost | Funding rounds | M&A | IPO | Entity extraction | Structured JSON | API access | |----------------------|----------------|----------------|---------|-------|-------------------|-----------------|------------| | **This Actor** | **$0.10/article** | โœ… Daily | โœ… Daily | โœ… | โœ… Yes | โœ… Yes | โœ… Apify | | Bloomberg Terminal | ~$30K/yr/seat | โœ… | โœ… | โœ… | โœ… | โŒ Terminal-only | Limited | | Reuters Eikon / LSEG | ~$24K/yr/seat | โœ… | โœ… | โœ… | โœ… | โŒ Terminal-only | Limited | | Refinitiv Workspace | ~$22K/yr/seat | โœ… | โœ… | โœ… | โœ… | โŒ Terminal-only | Limited | | Mergermarket | ~$20K/yr/seat | Partial | โœ…โœ…โœ… | โœ… | โœ… | โŒ Web-only | โŒ | | TechCrunch (free) | $0 | โœ… | โœ… | โœ… | โŒ Unstructured | โŒ HTML only | โŒ | | **This Actor** | **$0.10/article** | โœ… | โœ… | โœ… | โœ… | โœ… JSON | โœ… REST | You pay per useful row. No per-seat licence, no annual lock-in, no terminal install. Wire it into your warehouse on day one. --- ### ๐Ÿงช Quick-start examples **Daily morning brief โ€” every story in the last 24h (~12 articles, ~$1.21):** ```json { "limit": 25, "date_range": "today" } ```` **M\&A radar โ€” weekly acquisitions (~30 articles, ~$3.01):** ```json { "category": ["ma","business"], "date_range": "week", "keyword_filter": ["acquires","acquired","acquisition","merger"], "limit": 50 } ``` **Series A/B watcher (~40 articles, ~$4.01):** ```json { "keyword_filter": ["Series A","Series B"], "date_range": "week", "limit": 50 } ``` **AI funding firehose (~60 articles, ~$6.01):** ```json { "category": ["ai"], "date_range": "month", "include_full_text": true, "limit": 100 } ``` **Headlines-only monitoring (no body โ€” cheapest, ~$2.51 for 25 rows):** ```json { "limit": 25, "date_range": "today", "include_full_text": false } ``` **Monthly backfill โ€” entire month, all categories (~150 articles, ~$15.01):** ```json { "limit": 500, "date_range": "month" } ``` *** ### ๐Ÿงฑ How extraction works - **Funding amount**: regex over `title + first 400 chars` of body, matching patterns like `$5M`, `$1.2 billion`, `$500K`. Converted to USD integers (`$18M` โ†’ `18000000`). - **Round type**: pattern-matched against `Pre-Seed`, `Seed`, `Series A` through `Series G`, `Bridge`, `IPO`, `M&A`. First match wins, ordered by specificity. - **Mentioned companies vs investors**: anchor links inside the body pointing at `crunchbase.com/organization/*` are classified by sentence context โ€” anchors near `led by`, `backed by`, `invested`, or whose link text contains `Ventures` / `Capital` / `Partners` / `Fund` are tagged as investors; everything else is the operating company. - **Categories & tags**: pulled from the WordPress taxonomy attached to each post (multiple per article โ€” an AI fintech story might be tagged `AI`, `Fintech`, `Startups`). - **Date filtering**: applied against the published-at timestamp from RSS / ``. Articles without parseable dates are kept (rather than silently dropped). *** ### ๐Ÿชœ Source strategy & rate-limit posture 1. **Primary** โ€” `news.crunchbase.com/feed/` RSS. Server-rendered, 10 freshest articles, full body in `content:encoded`. Zero anti-bot, polite User-Agent. 2. **Pagination** โ€” when `limit > 10`, we walk `/sections//page/N/` HTML pages, harvest article URLs, fetch each one individually with a 400ms delay. 3. **Headers** โ€” desktop Chrome User-Agent, no JS execution required (WordPress is server-rendered). 4. **Failure modes** โ€” if a category index 404s, we fall back to the all-category feed and filter client-side. Articles with missing fields keep best-effort partial records (no silent drops). Crunchbase News is a **WordPress site**, not the locked-down Crunchbase data platform. The data platform requires a $999+/mo enterprise contract and aggressive anti-bot. The news site is editorially free, publicly indexable, and the legal grey-zone risk is the same as scraping any open WordPress blog. *** ### ๐Ÿ”— Sister actors in the NexGenData fleet If Crunchbase News headlines are useful to you, these adjacent Actors are the natural pair: - **[Startup Funding Tracker](https://apify.com/nexgendata/startup-funding-tracker)** โ€” round-by-round funding events with lead investor, valuation, post-money. The #1 companion to this Actor: news headlines tell you *what* happened, this tells you *how much* and *who* led. - **[YC Companies Directory Scraper](https://apify.com/nexgendata/yc-companies-directory-scraper)** โ€” Y Combinator alumni, every batch since S05 (5,000+ companies). When a YC company shows up in Crunchbase News, this Actor gives you the rest of their profile. - **[Techstars Companies Directory](https://apify.com/nexgendata/techstars-companies-directory)** โ€” Techstars accelerator alumni (5,591 companies, 128 programs). Same play as YC: enrich news mentions with full founder/program/cohort context. - **[SEC Form 8-K Material Events Scraper](https://apify.com/nexgendata/sec-form-8k-material-events-scraper)** โ€” real-time SEC 8-K filings (acquisitions, departures, material events). Crunchbase News covers private-market events; 8-K covers the public-market regulatory disclosures. - **[IPO Tracker](https://apify.com/nexgendata/ipo-tracker)** โ€” upcoming + recent IPOs with lockup expirations, pricing, valuations. Crunchbase News announces the IPO; this Actor gives you the structured pricing data. - **[Finance MCP Server](https://apify.com/nexgendata/finance-mcp-server)** โ€” Claude / ChatGPT MCP server bundling the entire NexGenData finance fleet so an LLM can call any of these Actors as a tool. Stack four of these and you've replicated a Bloomberg + PitchBook + CB Insights workflow for under $100/month. *** ### ๐Ÿค Affiliate / support Built and maintained by **NexGenData** โ€” leave a star or a review on Apify Console. **Need a custom slice** (Crunchbase News + Form D + LinkedIn enrichment for outbound)? Email `scrapers@thenextgennexus.com` โ€” bulk pricing, white-label feeds, and webhook delivery available. [**โ–ถ๏ธ Try this Actor โ†’**](https://apify.com/nexgendata/crunchbase-news-scraper) โ€” pay-per-article, $0.10 each. *** ### About NexGenData NexGenData publishes 220+ buyer-intent actors covering SEC filings, YC alumni, Delaware DOC, global stock screeners across 30+ exchanges, IPO calendars, IP and patent intelligence, FDA approvals, B2B lead generation, and more. Every actor is pay-per-result with no seat licensing. #### Apify affiliate program โ€” free credits + 30% off Sign up to Apify via our referral link and you'll get: - **Free starter credits** to test this actor and the rest of our 220+ actor fleet - **30% off platform fees** for the life of your account **[Browse the full NexGenData catalog and sign up here](https://apify.com/nexgendata?fpr=2ayu9b)** โ€” same Apify, same actors, just cheaper for you. *Built and maintained by NexGenData.* # Actor input Schema ## `limit` (type: `integer`): Maximum number of articles to return (1โ€“500). Each article = one dataset row. Larger runs hit additional category pages and pagination. Typical defaults: 25 for monitoring, 100 for daily intel, 500 for backfill. ## `category` (type: `array`): Restrict to one or more Crunchbase News sections. Allowed values: 'venture', 'ma', 'startups', 'business', 'public-markets', 'ai', 'fintech', 'health-wellness-biotech', 'cybersecurity', 'climate-sustainability', 'crypto', 'quarterly-and-annual-reports', 'sales-marketing'. Empty = ALL categories (uses main /feed). ## `date_range` (type: `string`): Restrict to recent articles. Allowed values: 'today' (last 24h), 'week' (last 7 days), 'month' (last 30 days), 'all' (no date filter). Filtering is applied against the article published\_at timestamp. ## `keyword_filter` (type: `array`): Case-insensitive substrings matched against title + excerpt. Examples: \['Series A','Series B'], \['IPO','SPAC'], \['acquires','acquisition'], \['OpenAI','Anthropic']. Empty = no keyword filter. ## `include_full_text` (type: `boolean`): If true, the body\_markdown field contains the full converted article body and full\_content=true. If false, only excerpt + RSS-supplied summary are returned (cheaper, faster). Recommended ON for VC intel / due diligence, OFF for headline monitoring. ## Actor input object example ```json { "limit": 25, "category": [], "date_range": "week", "keyword_filter": [], "include_full_text": true } ``` # 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 = { "limit": 25, "category": [], "date_range": "week", "keyword_filter": [], "include_full_text": true }; // Run the Actor and wait for it to finish const run = await client.actor("nexgendata/crunchbase-news-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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 = { "limit": 25, "category": [], "date_range": "week", "keyword_filter": [], "include_full_text": True, } # Run the Actor and wait for it to finish run = client.actor("nexgendata/crunchbase-news-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "limit": 25, "category": [], "date_range": "week", "keyword_filter": [], "include_full_text": true }' | apify call nexgendata/crunchbase-news-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nexgendata/crunchbase-news-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "๐Ÿ“ฐ Crunchbase News Scraper โ€” Daily Funding & M&A Headlines", "description": "Daily VC funding rounds, M&A, IPO, startup news from Crunchbase News. Structured JSON with entity extraction, funding amount parsing, round-type classification. Bloomberg / Reuters Eikon / Refinitiv / Mergermarket / TechCrunch alternative. Pay-per-article.", "version": "0.0", "x-build-id": "RAe4saebRBIx5bXvh" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nexgendata~crunchbase-news-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nexgendata-crunchbase-news-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/nexgendata~crunchbase-news-scraper/runs": { "post": { "operationId": "runs-sync-nexgendata-crunchbase-news-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/nexgendata~crunchbase-news-scraper/run-sync": { "post": { "operationId": "run-sync-nexgendata-crunchbase-news-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": { "limit": { "title": "Max articles", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of articles to return (1โ€“500). Each article = one dataset row. Larger runs hit additional category pages and pagination. Typical defaults: 25 for monitoring, 100 for daily intel, 500 for backfill.", "default": 25 }, "category": { "title": "Category filter (optional)", "type": "array", "description": "Restrict to one or more Crunchbase News sections. Allowed values: 'venture', 'ma', 'startups', 'business', 'public-markets', 'ai', 'fintech', 'health-wellness-biotech', 'cybersecurity', 'climate-sustainability', 'crypto', 'quarterly-and-annual-reports', 'sales-marketing'. Empty = ALL categories (uses main /feed).", "items": { "type": "string" } }, "date_range": { "title": "Date range filter", "enum": [ "today", "week", "month", "all" ], "type": "string", "description": "Restrict to recent articles. Allowed values: 'today' (last 24h), 'week' (last 7 days), 'month' (last 30 days), 'all' (no date filter). Filtering is applied against the article published_at timestamp.", "default": "week" }, "keyword_filter": { "title": "Keyword filter (optional)", "type": "array", "description": "Case-insensitive substrings matched against title + excerpt. Examples: ['Series A','Series B'], ['IPO','SPAC'], ['acquires','acquisition'], ['OpenAI','Anthropic']. Empty = no keyword filter.", "items": { "type": "string" } }, "include_full_text": { "title": "Include full article body (markdown)", "type": "boolean", "description": "If true, the body_markdown field contains the full converted article body and full_content=true. If false, only excerpt + RSS-supplied summary are returned (cheaper, faster). Recommended ON for VC intel / due diligence, OFF for headline monitoring.", "default": true } } }, "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 } } } } } } } } } } ```