# Infogreffe Bilans Scraper: 3-Year Financial Statements FR (`dltik/infogreffe-bilans-fr-scraper`) Actor Scrape 3 years of bilans (CA, resultat net, effectifs, total bilan) for French companies via INPI RNE. Dirigeants, capital, NAF, siege, immatriculation. Premium B2B for M\&A due diligence, credit scoring, salary benchmarks. $15/1K bilans. - **URL**: https://apify.com/dltik/infogreffe-bilans-fr-scraper.md - **Developed by:** [Walid](https://apify.com/dltik) (community) - **Categories:** Business, Lead generation, Other - **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.00005 / actor start 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 ## Infogreffe Bilans Scraper — 3-Year Financial Statements for FR Companies (INPI RNE) ⭐ **Bookmark this actor → [apify.com/dltik/infogreffe-bilans-fr-scraper](https://apify.com/dltik/infogreffe-bilans-fr-scraper)** — Apify ranks by bookmarks, so it directly drives the visibility of this scraper. **One click. No signup beyond your existing Apify account.** > Scrape **3 years of bilans (chiffre d'affaires, résultat net, effectifs, total bilan) for any French company** from the **official INPI RNE** (Registre National des Entreprises). Same source as Infogreffe / Pappers PRO / Diane — but at **$15 per 1K bilans instead of $50K/year subscriptions**. Built for M&A due-diligence, credit scoring, salary benchmarking, and B2B intel. ### ✨ What makes this scraper different | Feature | This scraper | Other Infogreffe scrapers on Apify | |---|:---:|:---:| | **3 years of bilans** (CA, résultat net, effectifs, total bilan) | ✅ | ❌ only registry metadata | | Direct **INPI RNE source** (post-Loi PACTE 2022 official) | ✅ | ❌ legacy Infogreffe scrape | | Structured `bilans[]` array with normalized numbers | ✅ | ❌ | | `confidentialite` flag detection (Loi Macron opt-out) | ✅ | ❌ | | `dirigeants` with DOB + nationality + role | ✅ | partial | | Headline `ca_dernier_exercice` / `resultat_net_dernier_exercice` | ✅ | ❌ | | URL to INPI + annuaire-entreprises | ✅ | ❌ | | Free auth (no $50/mo Pappers PRO key, no Infogreffe contract) | ✅ | varies | | Price per record | **$0.015** | $0.005 (no bilans) | ### What can this Infogreffe bilans scraper do? - 🇫🇷 **26M French companies** lookup-able by SIREN (any active or ceased entity registered at the RNE) - 💰 **3 years of bilans** (extendable to 5) — CA, résultat net, effectifs, total bilan, type de bilan, durée d'exercice - 🏛️ **Direct INPI RNE source** — the official open registry that replaced Infogreffe / RCS as the legal source of truth in 2023 (Loi PACTE) - 👥 **Dirigeants** — gérant, président, DG, conseil d'administration, with nom complet, date de naissance, nationalité, rôle - 🏢 **Full identity** — dénomination, forme juridique, capital social, code NAF, siège (adresse + CP + commune), date d'immatriculation, état administratif - 🔒 **Confidentialité opt-out detection** — flags the ~15% of small companies that legally hid their CA (Loi Macron) - 🚀 **HTTP-only**, no headless browser, no anti-bot — runs in under 3s per company ### What data can you extract per company? | Field | Description | |-------|-------------| | `siren` | 9-digit national ID | | `denomination` | Legal company name | | `forme_juridique` | SARL, SAS, SA, SCI, EURL, SASU... | | `capital_social` | Share capital in euros | | `date_immatriculation` | RCS registration date (YYYY-MM-DD) | | `code_naf` | NAF / APE code (e.g. `62.01Z` for software) | | `siege_adresse` | Headquarters street address | | `siege_code_postal` | Postal code | | `siege_commune` | City | | `siege_pays` | Country | | `etat_administratif` | `A` (active) / `C` (ceased) | | `dirigeants` | Array of `{role, nom, prenoms, nom_complet, date_naissance, nationalite, raison_sociale, siren}` | | `bilans` | Array of yearly bilans (most recent first) with `{date_cloture, duree_exercice_mois, ca, resultat_net, total_bilan, effectifs, type_bilan, confidentialite}` | | `ca_dernier_exercice` | Latest revenue (€) — headline number | | `resultat_net_dernier_exercice` | Latest net income (€) | | `effectifs_dernier_exercice` | Latest headcount | | `total_bilan_dernier_exercice` | Latest total assets (€) | | `date_dernier_bilan` | Most recent close date | | `url_inpi` | Direct INPI company page | | `url_annuaire_entreprises` | Direct annuaire-entreprises.data.gouv.fr page | | `scraped_at` | ISO UTC timestamp | ### How to scrape French company bilans in 5 steps 1. **[Create a free Apify account](https://apify.com/sign-up)** — no credit card required 2. **Create a free INPI account** at [data.inpi.fr/login](https://data.inpi.fr/login) (Loi PACTE 2022 mandate — RNE data is free to all) 3. **Open [Infogreffe Bilans Scraper](https://apify.com/dltik/infogreffe-bilans-fr-scraper)** on Apify Store 4. **Paste your INPI email + password** in the input fields (stored encrypted as Apify secrets) and provide a `sirens` list (e.g. `["552120222","775670417"]`) 5. **Click Start** — clean JSON in seconds with 3 years of bilans, exportable to CSV/JSON/Excel from the dataset UI ### How much does it cost to scrape Infogreffe bilans? **PAY_PER_EVENT — $0.015 per bilan record** ($15 per 1,000 companies). Failed lookups & runs without credentials are not charged. Compare: Diane / Astree / Pappers PRO charge $50–$200 per bilan via legacy enterprise contracts. | Run size | Companies | Apify cost | Time | |----------|-----------|------------|------| | Quick test | 5 | $0.08 | ~15s | | Standard | 100 | $1.50 | ~3min | | Deep | 1,000 | $15 | ~30min | | Massive | 5,000 | $75 | ~2.5h | Set `yearsHistory=5` (default 3) for deeper history at the same price per company. Set `includeRawBilans=true` to also export every accounting line item (200+ fields per year). ### Input parameters | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `mode` | enum | `siren` | `siren` = bulk SIREN lookup, `search` = free-text by denomination | | `sirens` | array | `[]` | List of 9-digit SIREN (SIRET auto-trimmed) | | `query` | string | — | Free-text company name (mode=search) | | `yearsHistory` | int | `3` | 1–5 years of bilans per company | | `includeDirigeants` | bool | `true` | Include legal representatives | | `includeRawBilans` | bool | `false` | Include full INPI accounting payload per year | | `maxResults` | int | `100` | Hard cap on returned companies (1–2000) | | `inpiUsername` | string (secret) | env `INPI_USERNAME` | Your INPI email | | `inpiPassword` | string (secret) | env `INPI_PASSWORD` | Your INPI password | | `proxyConfig` | object | datacenter off | Optional Apify proxy (rarely needed) | ### Output example ```json { "siren": "552120222", "denomination": "L'OREAL", "forme_juridique": "SA à conseil d'administration", "capital_social": 107132075.4, "date_immatriculation": "1957-01-01", "code_naf": "70.10Z", "siege_adresse": "14 RUE ROYALE", "siege_code_postal": "75008", "siege_commune": "PARIS", "siege_pays": "FRANCE", "etat_administratif": "A", "dirigeants": [ { "role": "PRESIDENT DU CONSEIL D'ADMINISTRATION", "type": "personne_physique", "nom_complet": "Jean-Paul AGON", "nom": "AGON", "prenoms": "Jean-Paul", "date_naissance": "1956-07-06", "nationalite": "FRANCAISE" } ], "bilans": [ { "date_cloture": "2024-12-31", "duree_exercice_mois": 12, "ca": 43480000000, "resultat_net": 6403000000, "total_bilan": 53000000000, "effectifs": 90000, "type_bilan": "CONSOLIDE", "confidentialite": false }, { "date_cloture": "2023-12-31", "ca": 41183000000, "resultat_net": 6184000000 }, { "date_cloture": "2022-12-31", "ca": 38260000000, "resultat_net": 5706000000 } ], "ca_dernier_exercice": 43480000000, "resultat_net_dernier_exercice": 6403000000, "effectifs_dernier_exercice": 90000, "total_bilan_dernier_exercice": 53000000000, "date_dernier_bilan": "2024-12-31", "url_inpi": "https://data.inpi.fr/entreprises/552120222", "url_annuaire_entreprises": "https://annuaire-entreprises.data.gouv.fr/entreprise/552120222", "scraped_at": "2026-06-20T14:32:01Z" } ```` ### Use cases - 🤝 **M\&A due diligence** — pull 3 years of bilans for a target + 5 comparables in 30 seconds; feed the numbers into a DCF model - 💳 **Credit scoring & risk** — auto-enrich a CRM with CA / résultat net / effectifs to score B2B prospects before extending payment terms - 💼 **Salary benchmarking** — aggregate `effectifs × résultat_net` across a NAF code to size compensation envelopes per industry - 🎯 **Sales prospecting** — qualify B2B leads by CA bracket and growth trajectory (compare year N vs N-1 from `bilans[]`) - 📊 **Industry research** — pull the entire `74.90B` (consulting) NAF or a department's 100 largest companies for sector analysis - 🏦 **Banking onboarding & KYC** — fetch dirigeants + capital + dénomination + bilans in one call (vs 5 different sources) - 🤖 **Finance AI agents** — feed Claude / GPT a clean structured `bilans[]` instead of scraping PDFs ### Use the actor via API **Python:** ```python import requests run = requests.post( "https://api.apify.com/v2/acts/dltik~infogreffe-bilans-fr-scraper/run-sync-get-dataset-items", headers={"Authorization": "Bearer YOUR_APIFY_TOKEN", "Content-Type": "application/json"}, json={ "mode": "siren", "sirens": ["552120222", "775670417", "542065479"], "yearsHistory": 3, "includeDirigeants": True, "inpiUsername": "you@example.com", "inpiPassword": "your_inpi_password" } ).json() for r in run: if r.get("siren"): print(f"{r['denomination']:30} CA={r.get('ca_dernier_exercice')} RN={r.get('resultat_net_dernier_exercice')}") ``` **curl:** ```bash curl -X POST "https://api.apify.com/v2/acts/dltik~infogreffe-bilans-fr-scraper/run-sync-get-dataset-items" \ -H "Authorization: Bearer YOUR_APIFY_TOKEN" \ -H "Content-Type: application/json" \ -d '{"mode":"siren","sirens":["552120222"],"yearsHistory":5,"inpiUsername":"you@example.com","inpiPassword":"xxxx"}' ``` ### FAQ **Why do I need an INPI account?** Since the Loi PACTE 2022, the RNE (Registre National des Entreprises) replaced Infogreffe / RCS as the single legal source of truth for French company data. INPI hosts it and requires a free account for API access — a pure formality, no payment, no quota. Register at [data.inpi.fr/login](https://data.inpi.fr/login). **Why $15 per 1K instead of $5?** Bilans are premium B2B data — legacy providers (Diane, Astree, Pappers PRO) charge $50–$200 per bilan via enterprise contracts. We sit at $0.015 — same league as Apify peers like the [Poland KRS Financial Statements Scraper](https://apify.com/regdata/poland-krs) ($0.15 per large statement, 10× our price). Other Infogreffe scrapers on Apify return only registry metadata (no CA / résultat) and price at $0.005. **Why is `ca_dernier_exercice` sometimes null?** \~15% of small companies legally opt out of publishing their CA under the Loi Macron — `confidentialite: true` flags them. Also, INPI receives bilans 2–7 months post-clôture, so very recent FY may not be available yet; the actor surfaces the latest year on file. **How fresh is the data?** Pulled live at run time from the INPI RNE database. New filings show up within days of deposit at the greffe. **Does it cover associations and micro-entrepreneurs?** Yes — RNE covers all forms (SA, SAS, SARL, SCI, EURL, SASU, associations loi 1901 if they file at the RNE, auto-entrepreneurs). Bilans are only filed by commercial entities subject to publication obligations (typically not micro-entrepreneurs). *** ⭐ **Found this Infogreffe Bilans Scraper useful? [Bookmark it](https://apify.com/dltik/infogreffe-bilans-fr-scraper)** — Apify ranks actors by bookmarks, so it's the strongest single signal for Store visibility. One click. ### Other scrapers by dltik | Actor | What it does | Price | |-------|-------------|-------| | [Pappers Sirene Scraper](https://apify.com/dltik/pappers-sirene-scraper) | 26M French companies (SIREN, SIRET, dirigeants, capital) | $0.001/result | | [Pappers Enrichment Bundle](https://apify.com/dltik/pappers-enrichment-bundle) | Bulk enrichment of SIREN lists with full company data | $0.005/result | | [Pappers MCP Server](https://apify.com/dltik/mcp-server-pappers) | French company data for AI agents (Claude / GPT) | $0.01/tool-call | | [BODACC Scraper](https://apify.com/dltik/bodacc-fr-scraper) | French commercial court announcements (creations, faillites, M\&A) | $0.003/record | | [BODACC MCP Server](https://apify.com/dltik/mcp-server-bodacc) | BODACC announcements for AI agents | $0.01/tool-call | | [France Travail Scraper](https://apify.com/dltik/francetravail-scraper) | 700K+ FR jobs with structured salary + skills | $0.0015/job | | [HATVP Scraper](https://apify.com/dltik/hatvp-fr-scraper) | French elected officials' financial declarations | varies | | [Annuaire Administration FR](https://apify.com/dltik/annuaire-administration-fr-scraper) | French gov agencies & contacts | $0.003/org | License: MIT · Author: [dltik](https://apify.com/dltik) # Actor input Schema ## `mode` (type: `string`): siren = lookup one or more companies by SIREN (most accurate). search = free-text search by denomination then resolve top match. ## `sirens` (type: `array`): List of 9-digit SIREN numbers to lookup (e.g. \['552120222', '552032534']). Use with mode=siren. Trailing SIRET digits are auto-trimmed to SIREN. ## `query` (type: `string`): Free-text company name (denomination). Used with mode=search. Example: 'LVMH', 'Carrefour', 'Renault'. Returns top matches (up to maxResults). ## `yearsHistory` (type: `integer`): How many years of bilans to include in the output (1-5). Default 3 covers most M\&A / credit use cases. INPI typically holds 3-5 years of filed accounts. ## `includeDirigeants` (type: `boolean`): Include the list of legal representatives (gerant, president, directeur general, conseil d'administration) with names + DOBs from RNE. ## `includeRawBilans` (type: `boolean`): Include the full raw INPI bilan JSON payload per year alongside the normalized flat fields. Useful for advanced finance pipelines that need all 200+ accounting line items. ## `maxResults` (type: `integer`): Maximum number of companies to return (used in search mode and as a hard cap in siren mode). 1-2000. ## `inpiUsername` (type: `string`): Your INPI / data.inpi.fr account email. Create a free account at https://data.inpi.fr/login (Loi PACTE 2022 — all RNE data is free to access with a registered account). If empty, the actor falls back to the INPI\_USERNAME environment variable. ## `inpiPassword` (type: `string`): Your INPI account password (matches the username). If empty, the actor falls back to the INPI\_PASSWORD environment variable. Stored as a secret, never logged. ## `proxyConfig` (type: `object`): Optional Apify proxy. INPI RNE has no anti-bot once authenticated — proxy is rarely needed unless you batch-scrape >1K SIREN at once and hit a soft per-IP throttle. ## Actor input object example ```json { "mode": "siren", "sirens": [], "yearsHistory": 3, "includeDirigeants": true, "includeRawBilans": false, "maxResults": 100, "proxyConfig": { "useApifyProxy": false } } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("dltik/infogreffe-bilans-fr-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 = {} # Run the Actor and wait for it to finish run = client.actor("dltik/infogreffe-bilans-fr-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 '{}' | apify call dltik/infogreffe-bilans-fr-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=dltik/infogreffe-bilans-fr-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Infogreffe Bilans Scraper: 3-Year Financial Statements FR", "description": "Scrape 3 years of bilans (CA, resultat net, effectifs, total bilan) for French companies via INPI RNE. Dirigeants, capital, NAF, siege, immatriculation. Premium B2B for M&A due diligence, credit scoring, salary benchmarks. $15/1K bilans.", "version": "0.0", "x-build-id": "oN47WrbxIG5bvDbVq" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/dltik~infogreffe-bilans-fr-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-dltik-infogreffe-bilans-fr-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/dltik~infogreffe-bilans-fr-scraper/runs": { "post": { "operationId": "runs-sync-dltik-infogreffe-bilans-fr-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/dltik~infogreffe-bilans-fr-scraper/run-sync": { "post": { "operationId": "run-sync-dltik-infogreffe-bilans-fr-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": { "mode": { "title": "Mode", "enum": [ "siren", "search" ], "type": "string", "description": "siren = lookup one or more companies by SIREN (most accurate). search = free-text search by denomination then resolve top match.", "default": "siren" }, "sirens": { "title": "SIREN list", "type": "array", "description": "List of 9-digit SIREN numbers to lookup (e.g. ['552120222', '552032534']). Use with mode=siren. Trailing SIRET digits are auto-trimmed to SIREN.", "items": { "type": "string" }, "default": [] }, "query": { "title": "Company name search", "type": "string", "description": "Free-text company name (denomination). Used with mode=search. Example: 'LVMH', 'Carrefour', 'Renault'. Returns top matches (up to maxResults)." }, "yearsHistory": { "title": "Years of bilan history", "minimum": 1, "maximum": 5, "type": "integer", "description": "How many years of bilans to include in the output (1-5). Default 3 covers most M&A / credit use cases. INPI typically holds 3-5 years of filed accounts.", "default": 3 }, "includeDirigeants": { "title": "Include dirigeants", "type": "boolean", "description": "Include the list of legal representatives (gerant, president, directeur general, conseil d'administration) with names + DOBs from RNE.", "default": true }, "includeRawBilans": { "title": "Include raw bilan payloads", "type": "boolean", "description": "Include the full raw INPI bilan JSON payload per year alongside the normalized flat fields. Useful for advanced finance pipelines that need all 200+ accounting line items.", "default": false }, "maxResults": { "title": "Max results", "minimum": 1, "maximum": 2000, "type": "integer", "description": "Maximum number of companies to return (used in search mode and as a hard cap in siren mode). 1-2000.", "default": 100 }, "inpiUsername": { "title": "INPI account username (email)", "type": "string", "description": "Your INPI / data.inpi.fr account email. Create a free account at https://data.inpi.fr/login (Loi PACTE 2022 — all RNE data is free to access with a registered account). If empty, the actor falls back to the INPI_USERNAME environment variable." }, "inpiPassword": { "title": "INPI account password", "type": "string", "description": "Your INPI account password (matches the username). If empty, the actor falls back to the INPI_PASSWORD environment variable. Stored as a secret, never logged." }, "proxyConfig": { "title": "Proxy (rarely needed)", "type": "object", "description": "Optional Apify proxy. INPI RNE has no anti-bot once authenticated — proxy is rarely needed unless you batch-scrape >1K SIREN at once and hit a soft per-IP throttle.", "default": { "useApifyProxy": 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 } } } } } } } } } } ```