# Newsletter Sponsors Scraper — InboxReads Directory (`nomad-agent/newsletter-sponsors-scraper`) Actor Find newsletters that accept sponsorships, cross-promotions or are up for sale — scraped from the InboxReads public directory. Topics, cadence, audience geography, email tooling and sponsor-contact signals per newsletter. Built for sponsor prospecting and newsletter market research. - **URL**: https://apify.com/nomad-agent/newsletter-sponsors-scraper.md - **Developed by:** [Nomad.Dev](https://apify.com/nomad-agent) (community) - **Categories:** Marketing - **Stats:** 2 total users, 1 monthly users, 85.7% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $2.60 / 1,000 newsletter 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 ## Newsletter Sponsors Scraper — InboxReads Directory Find newsletters that **accept sponsorships**, are **open to cross-promotion** or are **up for sale** — scraped from the [InboxReads](https://inboxreads.co) public directory (~3,300 newsletters). Per newsletter: topics, send cadence, audience geography, the email/sponsorship tooling it runs on (Paved, BuySellAds, Passionfroot, beehiiv, Mailchimp...), whether a sponsor-contact route exists, and directory popularity ranks. No login, no proxies. Built for **sponsor prospecting** (media buyers and brands hunting placement inventory), **newsletter competitive research**, and **acquisition scouting** (`onlyForSale`). ### What makes this different Other InboxReads scrapers return name, description and topics. This one is built around **sponsor intelligence** — a combination of first-class, filterable fields no other newsletter-directory Actor exposes: - `acceptsSponsorships`, `allowsCrossPromotion`, `isForSale` — filter the directory straight down to buyable / swappable / acquirable inventory. - `sponsorshipPlatforms` — the ad networks a newsletter actually sells through (Paved, BuySellAds, Passionfroot...), **detected from its tooling stack rather than self-reported**, so you know *where to go buy*. Filter on it directly. - `hasSponsorContact` / `hasAdvertiseUrl` — whether a contact route / media kit exists. - `audienceCountries` — reader geography, for market-matched buys. **On the fields we deliberately leave out:** we do not emit subscriber counts or open/click rates. InboxReads gates those behind its Pro plan on every public listing, so a scraper can only ever return them as `null` (or a fabricated guess). We return what is actually public and skip the always-empty columns — see the FAQ below. ### Input | Field | Type | Default | Description | |---|---|---|---| | `topics` | array of strings | `["business", "marketing"]` | Only newsletters tagged with at least one of these topics (case-insensitive). Empty list = all topics. Full topic list: [inboxreads.co/topics](https://inboxreads.co/topics). | | `onlyAcceptingSponsors` | boolean | `false` | Only newsletters whose listing says they accept paid sponsorships/ads (roughly half the directory). | | `onlyOpenToCrossPromotion` | boolean | `false` | Only newsletters open to cross-promotion swaps. | | `onlyForSale` | boolean | `false` | Only newsletters marked as up for sale. | | `sponsorshipPlatforms` | array of strings | *(empty)* | Only newsletters that sell sponsorships through at least one of these platforms (case-insensitive), e.g. `Paved`, `BuySellAds`, `Passionfroot`. Detected from the tooling stack, not self-reported. Empty = any platform. | | `language` | string | *(empty)* | Only newsletters written in this language, e.g. `english`, `spanish`. Empty = any. | | `onlyNewSinceLastRun` | boolean | `false` | Only output newsletters not seen in previous runs with this flag — see [Delta mode](#delta-mode). | | `maxItems` | integer | `100` | Hard cap on directory listings fetched (considered) per run. `0` = the whole directory (~3,300 listings — use with care). With filters on, fewer records may actually be pushed and billed. | | `concurrency` *(Advanced)* | integer | `4` | Parallel listing fetches. Keep low — this is a small independent directory site. | ### What newsletter data does this scraper extract? One flat JSON record per newsletter listing: | Field | Meaning | |---|---| | `id` | Stable id, `inboxreads:` | | `source` | Always `inboxreads` | | `slug` | Listing slug | | `url` | Listing page on InboxReads | | `name` | Newsletter name | | `tagline` | One-line pitch | | `description` | Longer description | | `topics` | Topic tags, e.g. `["business", "tech"]` | | `language` | Language, e.g. `english` | | `sendIntervalDays` | Send cadence in days (`1` = daily, `7` = weekly) — `null` if not stated | | `sendFrequency` | Human label derived from the above (`daily`, `weekly`, `biweekly`, ...) | | `acceptsSponsorships` | `true` if the listing says it accepts paid sponsorships/ads | | `allowsCrossPromotion` | `true` if open to cross-promo swaps | | `isForSale` | `true` if the newsletter is listed for sale | | `paidStatus` | `free` / paid-subscription status of the newsletter itself | | `hasSponsorContact` | `true` if the directory exposes a contact route for this newsletter | | `hasAdvertiseUrl` | `true` if the newsletter publishes its own advertise/media-kit link | | `favourites` | Directory likes — popularity proxy | | `ranks` | Directory rank overall and per topic, e.g. `{"all": 1, "news": 1}` | | `audienceCountries` | Top reader countries with relative score, `[{"country", "score"}]` | | `audienceCountryCount` | How many countries the readership spans | | `emailTools` | Detected stack, `[{"name", "category"}]` — category `sponsorship` shows which sales platform (Paved, BuySellAds, Passionfroot...) the newsletter sells through | | `sponsorshipPlatforms` | Flat list of the sponsorship sales platforms from `emailTools`, e.g. `["Paved", "BuySellAds"]` — the actionable "where to go buy" signal, and the `sponsorshipPlatforms` input filters on it | | `listingCreatedAt` / `listingUpdatedAt` | Listing timestamps (ISO 8601) | | `relatedSlugs` | Similar newsletters (slugs) — feed them back in as seeds | | `parseConfidence` | `high` / `medium` / `low` — how cleanly the page parsed | | `warnings` | Parse warnings, empty when clean | | `isNew` | `true` on every pushed record — only present when **Only new since last run** is on | Subscriber counts and open/click rates are **not** included: InboxReads gates them behind its Pro plan on every listing we sampled, and this actor only reads public pages — no always-empty columns, no fabricated numbers. ### How to find newsletter sponsorship inventory with this Actor 1. Set **topics** to your target verticals (`marketing`, `finance`, `ai`, ...) — or leave empty for the whole directory. 2. Turn on **Only newsletters accepting sponsors** to keep just the sponsorable inventory; add **language** if you buy in one market. 3. Read `sponsorshipPlatforms` in the output — the platforms (Paved, BuySellAds, Passionfroot...) where that newsletter actually sells placements, i.e. where to go buy. To target one ad network, put its name in the **Sponsorship platforms** input (e.g. `["Paved"]`) and only newsletters selling through it come back. 4. Turn on **Only new since last run** and schedule the run to monitor newly listed newsletters (new inventory alert). 5. Export JSON, CSV or Excel — or call it over the API: ```python from apify_client import ApifyClient client = ApifyClient("") run = client.actor("nomad-agent/newsletter-sponsors-scraper").call(run_input={ "topics": ["marketing", "business"], "onlyAcceptingSponsors": True, "maxItems": 200, }) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item["name"], "|", item["sendFrequency"], "|", item["url"]) ```` ```bash curl -X POST \ "https://api.apify.com/v2/acts/nomad-agent~newsletter-sponsors-scraper/run-sync-get-dataset-items?token=" \ -H "Content-Type: application/json" \ -d '{"topics": ["marketing"], "onlyAcceptingSponsors": true, "maxItems": 100}' ``` ### Output example Real record (fetched 2026-07-02): ```json { "id": "inboxreads:theskimm", "source": "inboxreads", "slug": "theskimm", "url": "https://inboxreads.co/n/theskimm", "name": "Daily Skimm", "tagline": "The morning newsletter that millions wake up to", "description": "Meet, news without all the noise. The Daily Skimm connects the dots on how the day's biggest stories affect your life.", "topics": ["news", "business", "sports", "politics", "entertainment"], "language": "english", "sendIntervalDays": 1, "sendFrequency": "daily", "acceptsSponsorships": true, "allowsCrossPromotion": false, "isForSale": false, "paidStatus": "free", "hasSponsorContact": false, "hasAdvertiseUrl": true, "favourites": 174, "ranks": {"all": 2, "news": 2, "sports": 2, "business": 2, "politics": 2, "entertainment": 1}, "audienceCountries": [ {"country": "United States", "score": 191}, {"country": "India", "score": 22}, {"country": "Morocco", "score": 14}, {"country": "Brazil", "score": 12}, {"country": "Canada", "score": 12} ], "audienceCountryCount": 1835, "emailTools": [ {"name": "Paved", "category": "sponsorship"}, {"name": "BuySellAds", "category": "sponsorship"}, {"name": "Marigold Engage by Sailthru", "category": "email service provider"} ], "sponsorshipPlatforms": ["Paved", "BuySellAds"], "listingCreatedAt": "2017-09-08T16:45:16.000Z", "listingUpdatedAt": "2024-09-24T22:30:18.311Z", "relatedSlugs": ["axios-am-pm", "need-2-know", "tip-news", "1440-daily-digest", "daily-dose-1", "boardroom-newsletters"], "parseConfidence": "high", "warnings": [] } ``` `isNew` (delta mode) is added on top of this shape when that input is used. ### Delta mode Turn on **Only new since last run** (`onlyNewSinceLastRun`) to have the Actor remember which listings it has already returned (keyed by slug) across runs and skip them. - Skipped (already-seen) listings are **not fetched, not pushed and not billed** — repeat runs only pay for newsletters newly added to the directory. - Every record pushed with this flag on is tagged `"isNew": true`. - State is kept in a dedicated key-value store (separate from the run's default store), so it persists across scheduled runs. - Failed fetches are *not* marked as seen — they retry on the next run. ### Pricing Pay per event: **$0.05 per Actor start** + **$0.004 per newsletter record** pushed. Filters run before billing — records filtered out are never charged. A full-directory sweep (`maxItems: 0`, no filters) is ~3,300 records ≈ $13.25; a typical filtered topic run (`maxItems: 100`) costs at most $0.45. ### FAQ **Where does the data come from?** The public InboxReads directory (inboxreads.co) — listing pages only. The actor respects the site's robots.txt: InboxReads' own media-kit, ad-rate, sponsor-list and API paths are disallowed there and are never fetched. **Why are there no subscriber counts or CPM prices?** InboxReads gates subscriber/open-rate/click-rate metrics behind its Pro plan, and newsletter rate cards live on each newsletter's own media-kit page. This actor reports what is public: sponsorship acceptance flags, contact/advertise-URL signals and which sponsorship platform each newsletter sells through (`emailTools`) — enough to build a prospect list; pricing conversations happen on the newsletter's own advertise page. **How fresh is the data?** Each run fetches live pages. `listingUpdatedAt` tells you when the newsletter's listing itself last changed. **Some fields are null — why?** Newsletters self-report unevenly. Fields the listing doesn't state come back `null` (never guessed); `parseConfidence` + `warnings` flag records where the page shape looked unusual. **Can I monitor for new newsletters?** Yes — schedule the actor with `onlyNewSinceLastRun: true`. Only newly listed newsletters are pushed (and billed) on each run. ### Integrations Export results as JSON, CSV or Excel, or wire this Actor into [Make](https://make.com), [Zapier](https://zapier.com) or [n8n](https://n8n.io); call it programmatically with `run-sync-get-dataset-items`; or use it from AI agents via the [Apify MCP server](https://mcp.apify.com). # Actor input Schema ## `topics` (type: `array`): Only newsletters tagged with at least one of these topics (case-insensitive), e.g. business, tech, marketing, finance, ai. Empty = all topics. Browse the full topic list at inboxreads.co/topics. ## `onlyAcceptingSponsors` (type: `boolean`): Only newsletters whose listing says they accept paid sponsorships/ads. Roughly half the directory qualifies. ## `onlyOpenToCrossPromotion` (type: `boolean`): Only newsletters open to cross-promotion swaps with other newsletters. ## `onlyForSale` (type: `boolean`): Only newsletters whose listing is marked as up for sale (acquisition leads). ## `sponsorshipPlatforms` (type: `array`): Only newsletters that sell sponsorships through at least one of these platforms (case-insensitive), e.g. Paved, BuySellAds, Passionfroot. Detected from each newsletter's tooling stack, not self-reported — see the sponsorshipPlatforms output field. Empty = any platform. Combine with onlyAcceptingSponsors to target buyable inventory sold through a specific ad network. ## `language` (type: `string`): Only newsletters written in this language, e.g. english, spanish, german. Empty = any language. ## `onlyNewSinceLastRun` (type: `boolean`): Only output newsletters not seen in previous runs with this flag — new-listing monitoring. Skipped (already-seen) listings are not fetched, pushed or billed. ## `maxItems` (type: `integer`): Hard cap on directory listings fetched (considered) per run. 0 = the whole directory (~3,300 listings — use with care). With filters on, fewer records than this may actually be pushed and billed. ## `concurrency` (type: `integer`): How many listing pages to fetch in parallel. Keep low — this is a small independent directory site. ## Actor input object example ```json { "topics": [ "business", "marketing" ], "onlyAcceptingSponsors": false, "onlyOpenToCrossPromotion": false, "onlyForSale": false, "onlyNewSinceLastRun": false, "maxItems": 100, "concurrency": 4 } ``` # Actor output Schema ## `dataset` (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 = { "topics": [ "business", "marketing" ] }; // Run the Actor and wait for it to finish const run = await client.actor("nomad-agent/newsletter-sponsors-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 = { "topics": [ "business", "marketing", ] } # Run the Actor and wait for it to finish run = client.actor("nomad-agent/newsletter-sponsors-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 '{ "topics": [ "business", "marketing" ] }' | apify call nomad-agent/newsletter-sponsors-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nomad-agent/newsletter-sponsors-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Newsletter Sponsors Scraper — InboxReads Directory", "description": "Find newsletters that accept sponsorships, cross-promotions or are up for sale — scraped from the InboxReads public directory. Topics, cadence, audience geography, email tooling and sponsor-contact signals per newsletter. Built for sponsor prospecting and newsletter market research.", "version": "0.1", "x-build-id": "P8mhMY50N2mvmamWu" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nomad-agent~newsletter-sponsors-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nomad-agent-newsletter-sponsors-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/nomad-agent~newsletter-sponsors-scraper/runs": { "post": { "operationId": "runs-sync-nomad-agent-newsletter-sponsors-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/nomad-agent~newsletter-sponsors-scraper/run-sync": { "post": { "operationId": "run-sync-nomad-agent-newsletter-sponsors-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "topics": { "title": "Topics", "type": "array", "description": "Only newsletters tagged with at least one of these topics (case-insensitive), e.g. business, tech, marketing, finance, ai. Empty = all topics. Browse the full topic list at inboxreads.co/topics.", "items": { "type": "string" } }, "onlyAcceptingSponsors": { "title": "Only newsletters accepting sponsors", "type": "boolean", "description": "Only newsletters whose listing says they accept paid sponsorships/ads. Roughly half the directory qualifies.", "default": false }, "onlyOpenToCrossPromotion": { "title": "Only newsletters open to cross-promotion", "type": "boolean", "description": "Only newsletters open to cross-promotion swaps with other newsletters.", "default": false }, "onlyForSale": { "title": "Only newsletters for sale", "type": "boolean", "description": "Only newsletters whose listing is marked as up for sale (acquisition leads).", "default": false }, "sponsorshipPlatforms": { "title": "Sponsorship platforms", "type": "array", "description": "Only newsletters that sell sponsorships through at least one of these platforms (case-insensitive), e.g. Paved, BuySellAds, Passionfroot. Detected from each newsletter's tooling stack, not self-reported — see the sponsorshipPlatforms output field. Empty = any platform. Combine with onlyAcceptingSponsors to target buyable inventory sold through a specific ad network.", "items": { "type": "string" } }, "language": { "title": "Language", "type": "string", "description": "Only newsletters written in this language, e.g. english, spanish, german. Empty = any language." }, "onlyNewSinceLastRun": { "title": "Only new since last run", "type": "boolean", "description": "Only output newsletters not seen in previous runs with this flag — new-listing monitoring. Skipped (already-seen) listings are not fetched, pushed or billed.", "default": false }, "maxItems": { "title": "Max items", "minimum": 0, "type": "integer", "description": "Hard cap on directory listings fetched (considered) per run. 0 = the whole directory (~3,300 listings — use with care). With filters on, fewer records than this may actually be pushed and billed.", "default": 100 }, "concurrency": { "title": "Concurrency", "minimum": 1, "maximum": 8, "type": "integer", "description": "How many listing pages to fetch in parallel. Keep low — this is a small independent directory site.", "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 } } } } } } } } } } ```