# Company Financials, Valuation & M\&A Scraper (Craft.co) (`foxlabs/craft-intelligence`) Actor Scrape company financials from Craft.co: revenue, valuation, market cap, M\&A, executives & competitors as JSON. Low-cost Crunchbase / PitchBook alternative for VC/PE deal sourcing & M\&A research. - **URL**: https://apify.com/foxlabs/craft-intelligence.md - **Developed by:** [Berkan Kaplan](https://apify.com/foxlabs) (community) - **Categories:** Lead generation - **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $4.00 / 1,000 results 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 ## Craft.co Company Scraper — Revenue, Valuation, M&A, Executives, Competitors > **Also known as**: Craft.co scraper · company financials scraper · private company valuation lookup · revenue & income-statement data · M&A history · executive team scraper · B2B company intelligence · competitor discovery · M&A database · company valuation data · venture capital database · private company data. ### What does Craft.co Company Scraper do? **Craft.co Company Scraper** extracts deep company intelligence from [Craft.co](https://craft.co) profile pages and returns it as clean, structured JSON. Unlike basic firmographics tools, it pulls **multi-year revenue & income statements, private-company valuations, public market cap, full ownership/M&A subsidiary lists, executive teams, and competitor maps** — straight from Craft.co's structured data layer. Give it a list of companies (names, slugs, or URLs) **or** pick a sector preset and let it **discover competitors recursively** — expanding a handful of seed companies into hundreds or thousands of related firms in one run. Output is ready for CRM, dashboards, LLM/RAG context, and Make/Zapier/n8n pipelines, with full Apify platform support (API access, scheduling, proxy rotation, monitoring). **Use cases**: VC/PE deal sourcing & due diligence, M&A target research, competitive intelligence, B2B sales prospecting on enterprise accounts, financial benchmarking. ### Quick start — copy-paste recipes Open the Actor's **Input** tab in Apify Console, switch to **JSON / Editor**, paste one, click **Start**. **1) Specific companies — just type names** (~$0.004 each) ```json { "companyNames": ["Stripe", "Airbnb", "Notion"] } ```` No URLs needed — each name resolves to its Craft.co page automatically. This works great for companies whose name is their slug. For a name shared by several companies it can resolve to the wrong one (e.g. `Notion` lands on a small unrelated company; the well-known one is `notion-labs`) — when in doubt, paste the exact `https://craft.co/...` URL in **companyUrls** instead (which also accepts a bulk `.txt`/`.csv`). **2) A sector, top 100 companies** (~$0.40) ```json { "preset": "saas", "maxResults": 100 } ``` **3) Market discovery — follow the competitor graph** (~$4) ```json { "preset": "fintech", "maxDepth": 2, "maxResults": 1000 } ``` Names in **companyNames** auto-resolve; **companyUrls** is for exact URLs and bulk `.txt`/`.csv` uploads. ### How competitor discovery works By default (`maxDepth: 0`) the Actor scrapes only the companies you list / the preset anchors. Raise `maxDepth` to let it **trace Craft.co's competitor graph at runtime**: 1. **Anchors** — your URLs or a preset's ~14 curated sector leaders (trusted, never filtered). 2. **Recursive traversal** — each company's competitors are enqueued, then their competitors, up to `maxDepth` hops. Crawlee deduplicates automatically. 3. **Industry whitelist** — at depth > 0, discovered companies must match the preset's sector keywords (or your `industryKeywords`), which stops drift into unrelated sectors (e.g. fintech → e-commerce). 4. **Live, not a snapshot** — traversal happens at run time, so new entrants and graph changes are picked up automatically. **Scope & scale:** the competitor graph spans the broader **tech & software** market — a "B2B Tech & Software" run surfaces SaaS plus adjacent cloud, infrastructure, dev-tools and large software vendors. A built-in blocklist drops pure hardware, semiconductor, telecom and electronics companies so the graph doesn't drift off into them. Reach grows with `maxDepth` (0–4); a single mainstream preset yields on the order of hundreds to a few thousand on-topic companies before competitor lists overlap. `maxResults` is always your hard cost cap. ### Pay-as-you-go vs a $$$$ data subscription | | Crunchbase / PitchBook | This Actor (Craft.co) | |---|---|---| | **Access** | Annual contract, seat licenses | Pay-as-you-go — no contract, no login | | **Cost** | $$$$ per year | $4 per 1,000 companies (~$0.004 each) | | **Freshness** | Periodic DB updates | **Live** — scraped the moment you run it | | **Financials** | Gated behind premium tiers | Revenue, valuation, market cap & M\&A included | | **Export** | Limited seats / credits | Full JSON, CSV, Excel — yours to keep | Stop paying for a yearly seat to look companies up one at a time. Pull the exact companies — or a whole sector — you need, on demand, and own the data. ### Why use Craft.co Company Scraper? - **VC / PE sourcing & due diligence** — private valuations, multi-year revenue, funding totals, and executive teams for a whole sector in one run. - **M\&A research** — each company's subsidiary / acquisition list with links to the acquired entities' Craft.co profiles. - **Competitive intelligence** — pull a prospect's competitor list and recursively map an entire market with `maxDepth`. - **Sales prospecting & ABM** — segment by revenue, employee count, industry, and geography; enrich enterprise target accounts. - **Financial benchmarking** — quarterly/annual income statements with gross-profit margins across peers. - **LLM context** — feed structured financials + leadership + competitors into RAG pipelines. ### How to use 1. Open the Actor's **Input** tab in Apify Console. 2. **Either** pick a sector preset (`saas`, `fintech`, `ai-ml`) from the **Quick start** dropdown, **or** type plain company names in **Company names** (one per line — no URLs), **or** paste exact URLs / upload a `.txt`/`.csv` in **Company URLs**. You can combine them — they merge and dedupe. 3. Optionally raise **Competitor discovery depth** to expand into related companies (use with a preset or industry whitelist to stay on-topic). 4. Toggle **competitors / M\&A / executives** as needed (all on by default). 5. Set **Maximum companies** as your cost cap (default 100, max 100,000). 6. Click **Start**. Download as JSON, CSV, Excel, HTML, or XML from the **Output / Storage** tab. ### Output Each row is one company profile. Money fields come three ways: a raw number for sorting/charts, a **compact** string (`$14.00B`) for scanning, and an **exact** string (`$14,000,000,000`). Example (Stripe, trimmed): ```json { "url": "https://craft.co/stripe", "name": "Stripe", "description": "Stripe is a technology company that develops a financial infrastructure platform...", "website": "https://stripe.com", "foundedYear": 2010, "ownership": "private", "stockTicker": null, "headquarters": "South San Francisco, CA, United States", "headquartersCity": "South San Francisco", "headquartersState": "CA", "headquartersCountry": "United States", "employees": 11158, "employeeHistory": [{ "date": "2025-03-01", "count": 11158 }], "revenue": 14000000000, "revenueFormatted": "$14.00B", "revenueExact": "$14,000,000,000", "revenueCurrency": "USD", "incomeStatements": [ { "period": "2022-12-31", "revenue": 14000000000, "netIncome": null, "grossProfitMargin": null, "currency": "USD" } ], "valuation": 95000000000, "valuationFormatted": "$95.00B", "valuationExact": "$95,000,000,000", "valuationDate": "2021-03-15", "marketCap": null, "marketCapFormatted": null, "marketCapExact": null, "totalFunding": 9897843617, "totalFundingFormatted": "$9.90B", "totalFundingExact": "$9,897,843,617", "industries": ["Technology", "automation", "fintech", "platform"], "industriesText": "Technology, automation, fintech, platform", "social": { "twitter": "http://twitter.com/stripe", "linkedin": "https://www.linkedin.com/company/stripe" }, "executives": [ { "name": "Patrick Collison", "title": "Co-Founder, CEO & Board Member" }, { "name": "John Collison", "title": "Co-Founder, President & Board Member" } ], "competitors": [ { "name": "Adyen", "url": "https://craft.co/adyen", "revenue": null }, { "name": "Checkout.com", "url": "https://craft.co/checkout-com", "revenue": null } ], "acquisitions": [ { "company": "Paystack", "date": null, "amount": null, "url": "https://craft.co/paystack" } ], "offices": [ { "city": "South San Francisco", "state": "CA", "country": "United States", "countryCode": "US", "isHq": true } ], "scrapedAt": "2026-05-21T11:17:20.298Z" } ``` You can download the dataset in JSON, CSV, Excel, HTML, or XML formats. ### Data table | Field | Description | |---|---| | `name` / `description` / `website` / `crunchbase` | Identity + links | | `foundedYear` | Founding year (integer) | | `ownership` | `public` or `private` | | `stockTicker` | Exchange symbol when public (e.g. `ABNB`, `SHOP.TO`); `null` for private | | `headquarters` + `headquartersCity` / `State` / `Country` | HQ as a string + structured parts | | `employees` / `employeeHistory[]` | Latest headcount + history (`{ date, count }`) | | `revenue` / `revenueFormatted` / `revenueExact` / `revenueCurrency` | Latest revenue: raw number + `$14.00B` + `$14,000,000,000` + ISO currency | | `incomeStatements[]` | Multi-period financials: `period`, `revenue`, `netIncome`, `grossProfitMargin`, `currency` | | `valuation` / `valuationFormatted` / `valuationExact` / `valuationDate` | Private post-money valuation (mostly `null` for public companies) | | `marketCap` / `marketCapFormatted` / `marketCapExact` | Public market cap (mostly `null` for private companies) | | `totalFunding` / `totalFundingFormatted` / `totalFundingExact` | Total raised | | `industries[]` / `industriesText` | Industry tags as array + comma-joined string | | `social` | LinkedIn, Twitter, Facebook, YouTube, Instagram (present ones only) | | `executives[]` | Executive team — `{ name, title }` (toggle) | | `competitors[]` | `{ name, url, revenue }` — competitor revenue is **often `null`** on Craft.co (toggle) | | `acquisitions[]` | Subsidiaries / acquisitions — `{ company, date, amount, url }`; **`date` and `amount` are usually `null`** (Craft.co rarely lists deal terms) (toggle) | | `offices[]` | All office locations — `{ city, state, country, countryCode, isHq }` | | `scrapedAt` | ISO timestamp | ### Pricing / Cost estimation Pay-per-result: **$4 per 1,000 companies** (~$0.004 each). Craft.co charges no third-party fee — you only pay Apify for processing and proxy. Apify's free tier includes $5/month of credits (~1,250 companies before you pay anything). - 1 company ≈ $0.004 - 100 companies ≈ $0.40 - 1,000 companies ≈ $4 - 10,000 companies ≈ $40 Datacenter proxy is sufficient — no residential needed. ### Tips - **Bulk lists**: paste a `.txt`/`.csv` (one company per line) into **Company URLs**. - **Concurrency**: default `5` is the sweet spot. Higher (10+) is faster but Craft.co's per-session 403 rate climbs sharply, wasting compute — not recommended. - **Discovery depth**: start at `1`, raise to `2-3` only when you need a wider market sweep; each level multiplies the pool, runtime, and cost. - **Schedule** with Apify Scheduler to refresh a watchlist weekly. ### FAQ, disclaimers & support **Is Craft.co data publicly accessible?** Yes — Craft.co company profile pages are public. This Actor reads publicly available pages, no login. Always verify your use complies with Craft.co's Terms of Service. **Why are some fields `null`?** Financial depth varies. Public companies and well-tracked startups are richest; small private companies often have sparse financials. Specifically, **acquisition dates/amounts and competitor revenue are frequently `null`** because Craft.co lists the relationship without the figures — the Actor returns exactly what the page exposes, never invented values. **Can missing revenue/employees be filled from another source?** Optionally. Set **`enrichFromOwler: true`** and any company missing revenue/employees on Craft.co is looked up on [Owler.com](https://www.owler.com) and backfilled — but **only when Owler's domain matches the company's own website**, so a coincidental name match (e.g. `linear` → *Linear Technology*, the semiconductor maker) is rejected rather than merged. Backfilled values are clearly tagged: `revenueSource: "owler"`, `revenueIsEstimate: true`, `employeesSource`, and a verified `owlerUrl`. Owler figures are range-based estimates, not Craft.co filings. This fetches a second page per missing-data company, so it roughly doubles cost/time for those rows — leave it off if you only want Craft.co's own data. **Public vs private companies** — public companies expose `marketCap` (valuation usually `null`); private companies expose `valuation` (market cap `null`). Both expose revenue when available. **A page returned no data / occasional misses** — Craft.co occasionally serves an anti-bot challenge to a single session; the Actor retires that session and retries. A small fraction of stubborn pages (~0.5% at scale) may still fail and are written to the dataset as an `error` row for transparency. **Layout changed and the Actor broke?** Open an issue in the **Issues** tab — selectors are updated to track Craft.co's structure. For feedback, feature requests, or a custom solution, use the Issues tab. ### 🔗 foXLabs B2B Intelligence Suite Three company-intelligence scrapers that work better together — match results by company **domain** for a 360° view: | Actor | Best for | |---|---| | [**Owler** — Company Data, Revenue, Competitors & Funding](https://apify.com/foxlabs/owler-intelligence) | Firmographics, competitors, funding & news | | [**Craft.co** — Financials, Valuation & M\&A](https://apify.com/foxlabs/craft-intelligence) | Revenue/income statements, valuation, acquisitions, executives | | [**Built In** — Tech Stack, Employees & Jobs](https://apify.com/foxlabs/builtin-intelligence) | Tech stack, exact headcount & hiring signals | | [**Indian Company Data**](https://apify.com/foxlabs/indian-company-data) | 🇮🇳 India: CIN, directors, financials & charges (MCA/Tofler) | | [**Company Data Enrichment**](https://apify.com/foxlabs/company-enrichment) | Bulk firmographics by name/domain — industry, HQ, size, revenue | | [**Free Company Lookup**](https://apify.com/foxlabs/company-lookup-free) | 🆓 Quick basics — domain, industry, HQ, logo (start here) | *** ### Keywords / search terms Craft.co, Craft.co scraper, Craft.co API, company data, company intelligence, company financials, revenue data, private company valuation, market cap, income statement, M\&A history, acquisitions, executive team, competitive intelligence, competitor analysis, B2B firmographics, VC sourcing, PE due diligence, sales prospecting, lead generation, account-based marketing, CRM enrichment, business intelligence, company knowledge graph. # Actor input Schema ## `preset` (type: `string`): Auto-fills well-known company anchors, then (with Discovery depth > 0) follows Craft.co's competitor graph. NOTE: the graph spans the broader tech/software space — a 'B2B Tech & Software' run also surfaces adjacent cloud, infra, dev-tools and large software vendors, not only narrow SaaS. A built-in blocklist drops pure hardware/semiconductor/telecom/electronics. Or leave blank and paste your own companies below. ## `companyNames` (type: `array`): Just type company names — one per line. We turn each into its Craft.co page automatically (e.g. `Stripe` → craft.co/stripe). Easiest way to scrape a specific list — works great for companies whose name is their slug. ⚠ A bare name maps to craft.co/; if several companies share a name it can land on the wrong one (e.g. `Notion` → a small unrelated company; the well-known one is `notion-labs`). When in doubt, paste the exact Craft.co URL in the field below instead. ## `companyUrls` (type: `array`): Use this when a name doesn't resolve, or to upload a .txt/.csv of many companies. Full URLs only here, e.g. `https://craft.co/stripe`. ## `includeCompetitors` (type: `boolean`): Each company's competitor list with revenue + employees. ## `includeAcquisitions` (type: `boolean`): Full acquisition history — target, date, amount. ## `includeLeadership` (type: `boolean`): Executive team — name + title. ## `maxResults` (type: `integer`): Hard cap. PPE $4/1K. 100 ≈ $0.40. ## `maxConcurrency` (type: `integer`): Craft.co rate-limits header-bare requests; gotScraping headers pass but keep concurrency moderate (5-10). Max 20. ## `maxDepth` (type: `integer`): How far to follow Craft.co's competitor graph for a live, broad pool (not a static anchor list): • 0 = only the companies you list / preset anchors — no discovery • 1 = + each company's direct competitors • 2 = + competitors-of-competitors (DEFAULT for presets — densest live sweep) • 3 = one hop further (market-wide) • 4 = exhaustive crawl With a preset, discovery is ON by default (depth 2) so every run reflects today's market. Set 0 to scrape only an exact company list. 'Maximum companies' is always your hard cost cap (raise it for more density). ## `industryKeywords` (type: `array`): Only applied when depth > 0. Discovered companies whose industry tags match none of these keywords are skipped — this stops drift into unrelated sectors (e.g. fintech → e-commerce). Presets fill this automatically. ## `enrichFromOwler` (type: `boolean`): OFF by default. When ON, companies whose revenue/employees are missing on Craft.co are looked up on Owler.com and backfilled ONLY when Owler's domain matches the company's website (so a wrong-name match like 'linear' → Linear Technology is rejected, never merged). Backfilled values are tagged `revenueSource:"owler"` + `revenueIsEstimate:true` and a verified `owlerUrl` is added. Note: this fetches a second page per missing-data company, so it roughly doubles cost/time for those rows. ## `proxyConfiguration` (type: `object`): Apify Datacenter proxy is sufficient (residential not needed). ## Actor input object example ```json { "preset": "", "companyNames": [ "Stripe", "Airbnb", "Notion" ], "companyUrls": [], "includeCompetitors": true, "includeAcquisitions": true, "includeLeadership": true, "maxResults": 100, "maxConcurrency": 5, "maxDepth": 2, "industryKeywords": [], "enrichFromOwler": false, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [] } } ``` # 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 = { "companyNames": [ "Stripe", "Airbnb", "Notion" ], "companyUrls": [], "maxResults": 100, "maxConcurrency": 5, "maxDepth": 2, "industryKeywords": [], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [] } }; // Run the Actor and wait for it to finish const run = await client.actor("foxlabs/craft-intelligence").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 = { "companyNames": [ "Stripe", "Airbnb", "Notion", ], "companyUrls": [], "maxResults": 100, "maxConcurrency": 5, "maxDepth": 2, "industryKeywords": [], "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": [], }, } # Run the Actor and wait for it to finish run = client.actor("foxlabs/craft-intelligence").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 '{ "companyNames": [ "Stripe", "Airbnb", "Notion" ], "companyUrls": [], "maxResults": 100, "maxConcurrency": 5, "maxDepth": 2, "industryKeywords": [], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [] } }' | apify call foxlabs/craft-intelligence --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=foxlabs/craft-intelligence", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Company Financials, Valuation & M&A Scraper (Craft.co)", "description": "Scrape company financials from Craft.co: revenue, valuation, market cap, M&A, executives & competitors as JSON. Low-cost Crunchbase / PitchBook alternative for VC/PE deal sourcing & M&A research.", "version": "0.3", "x-build-id": "G0o7Ho4388oOPswmF" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/foxlabs~craft-intelligence/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-foxlabs-craft-intelligence", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/foxlabs~craft-intelligence/runs": { "post": { "operationId": "runs-sync-foxlabs-craft-intelligence", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/foxlabs~craft-intelligence/run-sync": { "post": { "operationId": "run-sync-foxlabs-craft-intelligence", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "preset": { "title": "Quick start: sector preset", "enum": [ "", "saas", "fintech", "ai-ml" ], "type": "string", "description": "Auto-fills well-known company anchors, then (with Discovery depth > 0) follows Craft.co's competitor graph. NOTE: the graph spans the broader tech/software space — a 'B2B Tech & Software' run also surfaces adjacent cloud, infra, dev-tools and large software vendors, not only narrow SaaS. A built-in blocklist drops pure hardware/semiconductor/telecom/electronics. Or leave blank and paste your own companies below.", "default": "" }, "companyNames": { "title": "Company names or slugs (no URL needed)", "type": "array", "description": "Just type company names — one per line. We turn each into its Craft.co page automatically (e.g. `Stripe` → craft.co/stripe). Easiest way to scrape a specific list — works great for companies whose name is their slug. ⚠ A bare name maps to craft.co/; if several companies share a name it can land on the wrong one (e.g. `Notion` → a small unrelated company; the well-known one is `notion-labs`). When in doubt, paste the exact Craft.co URL in the field below instead.", "default": [], "items": { "type": "string" } }, "companyUrls": { "title": "Or paste full Craft.co URLs (for tricky slugs / bulk file)", "type": "array", "description": "Use this when a name doesn't resolve, or to upload a .txt/.csv of many companies. Full URLs only here, e.g. `https://craft.co/stripe`.", "default": [], "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "includeCompetitors": { "title": "Include competitors", "type": "boolean", "description": "Each company's competitor list with revenue + employees.", "default": true }, "includeAcquisitions": { "title": "Include M&A / acquisitions", "type": "boolean", "description": "Full acquisition history — target, date, amount.", "default": true }, "includeLeadership": { "title": "Include key executives", "type": "boolean", "description": "Executive team — name + title.", "default": true }, "maxResults": { "title": "Maximum companies", "minimum": 0, "maximum": 100000, "type": "integer", "description": "Hard cap. PPE $4/1K. 100 ≈ $0.40.", "default": 100 }, "maxConcurrency": { "title": "Concurrent fetches", "minimum": 1, "maximum": 20, "type": "integer", "description": "Craft.co rate-limits header-bare requests; gotScraping headers pass but keep concurrency moderate (5-10). Max 20.", "default": 5 }, "maxDepth": { "title": "Competitor discovery depth", "minimum": 0, "maximum": 4, "type": "integer", "description": "How far to follow Craft.co's competitor graph for a live, broad pool (not a static anchor list):\n• 0 = only the companies you list / preset anchors — no discovery\n• 1 = + each company's direct competitors\n• 2 = + competitors-of-competitors (DEFAULT for presets — densest live sweep)\n• 3 = one hop further (market-wide)\n• 4 = exhaustive crawl\nWith a preset, discovery is ON by default (depth 2) so every run reflects today's market. Set 0 to scrape only an exact company list. 'Maximum companies' is always your hard cost cap (raise it for more density).", "default": 2 }, "industryKeywords": { "title": "Industry whitelist (discovery only)", "type": "array", "description": "Only applied when depth > 0. Discovered companies whose industry tags match none of these keywords are skipped — this stops drift into unrelated sectors (e.g. fintech → e-commerce). Presets fill this automatically.", "default": [], "items": { "type": "string" } }, "enrichFromOwler": { "title": "Backfill missing revenue/employees from Owler (estimate)", "type": "boolean", "description": "OFF by default. When ON, companies whose revenue/employees are missing on Craft.co are looked up on Owler.com and backfilled ONLY when Owler's domain matches the company's website (so a wrong-name match like 'linear' → Linear Technology is rejected, never merged). Backfilled values are tagged `revenueSource:\"owler\"` + `revenueIsEstimate:true` and a verified `owlerUrl` is added. Note: this fetches a second page per missing-data company, so it roughly doubles cost/time for those rows.", "default": false }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Apify Datacenter proxy is sufficient (residential not needed).", "default": { "useApifyProxy": true, "apifyProxyGroups": [] } } } }, "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 } } } } } } } } } } ```