# Indeed Hiring-Intent Leads - Companies Hiring (`oriented_wallpaper/indeed-leads-scraper`) Actor Scrape Indeed job postings by position + location and roll them up to unique companies actively hiring: website, email, phone, open-roles count (hiring velocity = buying intent), sample role, location, a 0-100 lead score, dedupe, optional AI cold openers. Export CSV/JSON. - **URL**: https://apify.com/oriented\_wallpaper/indeed-leads-scraper.md - **Developed by:** [Flash Scrape](https://apify.com/oriented_wallpaper) (community) - **Categories:** Lead generation, Jobs, Automation - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $14.00 / 1,000 leads 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 ## Indeed Hiring-Intent Leads Scraper — Companies Actively Hiring on Indeed ($5/1,000 leads) **Turn Indeed job postings into a B2B lead list of companies with hiring intent** — the buying-intent signal recruiters and sales teams have been missing. Search Indeed by job title + location and get one row per **company**, ranked by **hiring velocity** (how many roles they have open right now), not a pile of duplicate job ads. --- ### What does it do? This actor searches **Indeed** for a job position + location, then **rolls every matching job posting up to its employer** — one clean row per **company** instead of one row per ad. It counts **open_roles** per company (your hiring-velocity signal: more open roles = more budget, more urgency, more pain), crawls each company's own website to find a real **email**, **phone**, and **social links** (Indeed itself almost never publishes contact info), dedupes by domain/name/email, and scores every lead 0–100 so the hottest, most contactable prospects sort to the top. Optionally, it writes a personalized **AI cold-outreach opener** per company using your own OpenAI/Anthropic key. No Indeed API key, no proxies, no coding — enter a position and a location, hit run. --- ### Why use it / who's it for A company with 5+ open roles has budget, urgency, and a problem your product or service can solve. This actor is built for: - **Recruiters & staffing/RPO agencies** — find companies actively hiring for the exact roles you place, before they post on 10 other job boards. - **B2B sales teams** — target growing companies using "hiring intent" as a trigger event, instead of cold-calling static business lists. - **HR-tech, payroll, benefits & background-check vendors** — reach decision-makers at the precise moment they're scaling headcount. - **Market researchers & investors** — track which companies or industries in a city are expanding hiring. - **Fractional recruiters / talent agencies** — build a prospect list of companies that need help filling roles fast. --- ### How to use it 1. Enter a **job position** (e.g. `sales manager`) or a list of `searchTerms` for multiple roles at once. 2. Enter a **location** (e.g. `Austin, TX`), or leave blank to search everywhere. 3. Set `maxItems` — how many job postings to scrape before roll-up (default 100). 4. Optionally turn on filters: `onlyWithWebsite`, `onlyWithEmail` (best for cold-email lists). 5. Optionally turn on `writeOpeners` with your own OpenAI/Anthropic key for a personalized icebreaker per lead. 6. Run the actor — export results to CSV, JSON, or Excel, or pull them via the API. --- ### Output fields One row per **company**, best-scored leads first: | Field | Description | |---|---| | `lead_score` | 0–100 score combining contactability (email/website/phone) and hiring velocity — rows are sorted highest first. | | `company` | Employer name, rolled up from all matching job postings. | | `sample_title` | A representative open role found at this company. | | `open_roles` | Count of distinct open postings for this company — the hiring-velocity / buying-intent signal. | | `location` | Job location as shown on Indeed. | | `email` | Best contact email found on the company's own website. | | `email_status` | `found` or `missing`. | | `extra_emails` | Other emails discovered on the company site, if any. | | `phone` | Company phone number, when found. | | `website` | Company website URL. | | `rating` / `reviews` | Employer rating and review count, when Indeed provides them. | | `linkedin` / `facebook` / `twitter` | Social profiles found on the company website, when present. | | `icebreaker` | Personalized AI cold-outreach opener (only when `writeOpeners` is on). | | `indeed_url` | Link back to a matching Indeed job posting. | --- ### Input example ```json { "position": "warehouse associate", "location": "Dallas, TX", "maxItems": 200, "enrichEmails": true, "onlyWithEmail": true, "writeOpeners": false } ```` You can also search multiple roles at once with `searchTerms` instead of `position`: ```json { "searchTerms": ["registered nurse", "medical assistant"], "location": "Phoenix, AZ", "maxItems": 300, "onlyWithWebsite": true } ``` *** ### How much does it cost? This actor runs **pay-per-result**: **$0.005 per lead — $5 per 1,000 leads delivered** (effective 2026-07-16), charged only on companies that make it through your filters, never on raw job postings scraped. New users get roughly **1,000 results free** on the Apify free tier before any charge applies. Turn on `onlyWithEmail` if you only want to pay for leads you can actually contact. Email enrichment is included at no extra cost; AI openers run on your own OpenAI/Anthropic key, so that spend never touches this actor's pricing. *** ### FAQ #### Is it legal to scrape Indeed for leads? This actor collects **public** job-posting data only, then enriches it from each company's own public website. Use the output for legitimate B2B outreach or recruiting, and follow applicable anti-spam laws (CAN-SPAM, GDPR) when contacting leads. #### How fresh is the hiring data? Every run pulls live, current job postings directly from Indeed at the time you run the actor — there's no cached or stale dataset. Re-run on a schedule (via Apify's built-in scheduler) to catch new postings as companies ramp up hiring. #### Do I need an Indeed API key or proxies? No. Indeed search and company-website email enrichment both work out of the box with no key and no proxy setup. A key is only required if you switch on AI cold-outreach openers, and it's your own OpenAI or Anthropic key — used once per run, never stored. #### Why is the number of leads lower than `maxItems`? `maxItems` caps job **postings** scraped, not companies returned. Postings from the same employer collapse into a single company row with a higher `open_roles` count, so the final lead count is typically well below `maxItems`. #### Can I export the leads to my CRM or Google Sheets? Yes — export to CSV, JSON, or Excel from the Output tab, pull results via the Apify API, or push rows into Google Sheets, HubSpot, or Salesforce through Make, n8n, or Zapier. *** ### Other Flash Scrape lead tools - [Email Verifier](https://apify.com/oriented_wallpaper/email-verifier) — validate and clean any lead list before you send - [Company Domain Enricher](https://apify.com/oriented_wallpaper/company-domain-enricher) — turn a company name into a verified domain + email pattern - [Local Business Leads](https://apify.com/oriented_wallpaper/local-business-leads) — local business leads by category and city - [Google Maps Leads Scraper](https://apify.com/oriented_wallpaper/google-maps-leads-opener) — Google Maps business leads with contact enrichment - [Restaurant Leads Scraper](https://apify.com/oriented_wallpaper/restaurant-leads-scraper) — restaurant leads with POS/reservation/delivery tech-stack signals - [Hotel Host Leads Scraper](https://apify.com/oriented_wallpaper/hotel-host-leads-scraper) — hotel and short-term-rental host leads # Actor input Schema ## `position` (type: `string`): The role/keyword to search for on Indeed, e.g. 'sales manager' or 'software engineer'. Companies with open postings for this role become your leads. ## `searchTerms` (type: `array`): Optional: search multiple positions at once instead of a single 'Job position' above. One search term per line. ## `location` (type: `string`): City/state or region to search in, e.g. 'Austin, TX'. Leave blank to search all locations. ## `maxItems` (type: `integer`): How many Indeed job postings to scrape before rolling them up to unique companies (1–5000). More postings = more companies found, but a longer run. ## `onlyWithWebsite` (type: `boolean`): Drop leads that have no company website (you can't enrich an email without one). ## `onlyWithEmail` (type: `boolean`): Drop leads where no email could be found. Best for cold-email campaigns. Requires 'Find emails' below to be on. ## `enrichEmails` (type: `boolean`): Visit each company's website (home + /contact + /about) to extract emails and social links. Much higher email fill-rate. No key needed. ## `writeOpeners` (type: `boolean`): Generate a personalized one-sentence outreach opener for each company, referencing that they're actively hiring. Requires your OpenAI/Anthropic key below. ## `llmProvider` (type: `string`): Which model writes the openers. ## `llmApiKey` (type: `string`): Your own OpenAI or Anthropic API key. Used only to write the openers; never stored. ## `llmModel` (type: `string`): Override the default model (gpt-4o-mini for OpenAI, claude-haiku-4-5-20251001 for Anthropic). ## Actor input object example ```json { "position": "software engineer", "searchTerms": [ "sales manager", "account executive" ], "location": "Austin, TX", "maxItems": 100, "onlyWithWebsite": false, "onlyWithEmail": false, "enrichEmails": true, "writeOpeners": false, "llmProvider": "openai" } ``` # 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 = { "position": "sales manager", "location": "Austin, TX" }; // Run the Actor and wait for it to finish const run = await client.actor("oriented_wallpaper/indeed-leads-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 = { "position": "sales manager", "location": "Austin, TX", } # Run the Actor and wait for it to finish run = client.actor("oriented_wallpaper/indeed-leads-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 '{ "position": "sales manager", "location": "Austin, TX" }' | apify call oriented_wallpaper/indeed-leads-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=oriented_wallpaper/indeed-leads-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Indeed Hiring-Intent Leads - Companies Hiring", "description": "Scrape Indeed job postings by position + location and roll them up to unique companies actively hiring: website, email, phone, open-roles count (hiring velocity = buying intent), sample role, location, a 0-100 lead score, dedupe, optional AI cold openers. Export CSV/JSON.", "version": "0.1", "x-build-id": "n3fYfyP6jASDl87pp" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/oriented_wallpaper~indeed-leads-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-oriented_wallpaper-indeed-leads-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/oriented_wallpaper~indeed-leads-scraper/runs": { "post": { "operationId": "runs-sync-oriented_wallpaper-indeed-leads-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/oriented_wallpaper~indeed-leads-scraper/run-sync": { "post": { "operationId": "run-sync-oriented_wallpaper-indeed-leads-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "position": { "title": "Job position", "type": "string", "description": "The role/keyword to search for on Indeed, e.g. 'sales manager' or 'software engineer'. Companies with open postings for this role become your leads." }, "searchTerms": { "title": "Search terms (alternative to Job position)", "type": "array", "description": "Optional: search multiple positions at once instead of a single 'Job position' above. One search term per line.", "items": { "type": "string" } }, "location": { "title": "Location", "type": "string", "description": "City/state or region to search in, e.g. 'Austin, TX'. Leave blank to search all locations." }, "maxItems": { "title": "Max job postings to scrape", "minimum": 1, "maximum": 5000, "type": "integer", "description": "How many Indeed job postings to scrape before rolling them up to unique companies (1–5000). More postings = more companies found, but a longer run.", "default": 100 }, "onlyWithWebsite": { "title": "Only companies with a website", "type": "boolean", "description": "Drop leads that have no company website (you can't enrich an email without one).", "default": false }, "onlyWithEmail": { "title": "Only companies with an email", "type": "boolean", "description": "Drop leads where no email could be found. Best for cold-email campaigns. Requires 'Find emails' below to be on.", "default": false }, "enrichEmails": { "title": "Find emails on each company's website", "type": "boolean", "description": "Visit each company's website (home + /contact + /about) to extract emails and social links. Much higher email fill-rate. No key needed.", "default": true }, "writeOpeners": { "title": "Write an AI cold-opener per lead", "type": "boolean", "description": "Generate a personalized one-sentence outreach opener for each company, referencing that they're actively hiring. Requires your OpenAI/Anthropic key below.", "default": false }, "llmProvider": { "title": "AI provider (for openers)", "enum": [ "openai", "anthropic" ], "type": "string", "description": "Which model writes the openers.", "default": "openai" }, "llmApiKey": { "title": "AI API key (for openers)", "type": "string", "description": "Your own OpenAI or Anthropic API key. Used only to write the openers; never stored." }, "llmModel": { "title": "AI model (optional)", "type": "string", "description": "Override the default model (gpt-4o-mini for OpenAI, claude-haiku-4-5-20251001 for Anthropic)." } } }, "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 } } } } } } } } } } ```