# Indeed Jobs Scraper πŸ’Ό Salaries, Filters & Company Data (`factden/indeed-jobs-scraper`) Actor $2/1K results Β· Scrape Indeed job listings with salaries, full descriptions and company profiles. Advanced filters (salary range, remote, date, job type, experience), all result pages, 60+ countries. No blocking. Free trial πŸš€ - **URL**: https://apify.com/factden/indeed-jobs-scraper.md - **Developed by:** [FactDen](https://apify.com/factden) (community) - **Categories:** Jobs, Automation, Integrations - **Stats:** 4 total users, 3 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $1.20 / 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. 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 Jobs Scraper | Salaries, Filters & Company Data API (2026) **Scrape Indeed job listings at scale β€” with salaries, full descriptions, and free company profiles β€” across 60+ countries.** This Indeed scraper is the only one with a **native salary-range filter**, it returns **every result page** (not just the first), and it enriches each employer with a **free** company profile in a separate dataset. > ⚑ **No login, no proxy setup, no anti-bot tuning, no CAPTCHA work** β€” it's a pure-API scraper (no fragile browser/HTML path), all handled inside the actor. > πŸ’° **$2 / 1,000 jobs Β· company profiles are free Β· free trial.** New Apify users get a **$5 credit (~2,500 jobs)** on the first run. **Contents:** [What's different](#whats-different-about-this-indeed-scraper) Β· [Indeed API vs this](#indeeds-official-api-vs-this-scraper) Β· [Use cases](#common-use-cases) Β· [Input](#input) Β· [Output](#output) Β· [Pricing](#pricing--how-much-does-it-cost-to-scrape-indeed) Β· [FAQ](#faq) ### What's different about this Indeed scraper Most Indeed scrapers do the same basic search. These are the things **competitors don't offer**: - πŸ† **Native salary-range filter** β€” filter at the source by minimum/maximum annual salary. Almost every other scraper makes you pull everything and filter afterward. - πŸ† **Every result page** β€” auto date-window sharding breaks past Indeed's ~1,000-result depth ceiling, with honest *retrieved-vs-estimated* coverage reporting (no silent truncation). - πŸ† **Free company profiles** β€” rating, review count, company size, industry, CEO, founded, revenue, website, and socials, in a **separate dataset you're not billed for**. - πŸ† **Pure-API & reliable** β€” talks to Indeed's structured API, not a scraped HTML page, so there's no browser/Cloudflare surface to break. > **Quick start (30 seconds):** open the **Input** tab (it's pre-filled), set a **keyword** + **location**, click **Start**. Results stream into the **Output** tab β€” download as JSON, CSV, or Excel. **No-setup checklist** β€” what other scrapers make you handle yourself: - **No login** or Indeed account (public data only) - **No proxy** configuration (Apify proxy bundled) - **No anti-bot** tuning (handled inside the actor) - **No CAPTCHA** handling - **No code** for the form-based flow ### Indeed's official API vs this scraper Indeed's Publisher API is closed to new applicants and never exposed job-search filters or company data the way this actor does. | | Indeed Publisher API | This actor | |---|---|---| | Access | Closed / approval-gated | Apify account (free signup) | | Setup time | Application + review | ~30 seconds | | **Salary-range filter** | β€” | βœ… native | | **All result pages** (past the ~1,000 cap) | β€” | βœ… auto date-sharding | | **Free company profiles** | β€” | βœ… separate dataset, unbilled | | Remote / date / type / level filters | limited | βœ… | | Schedule / webhook delivery | bring your own | βœ… native via Apify | ### What does the Indeed Jobs Scraper do? Enter a search (or paste Indeed search/job URLs, or job keys) and it returns: - **Jobs** β€” one structured row per listing, with the full description inline (no extra request). - **Companies** *(optional, free)* β€” one deduped row per unique employer, with profile + ratings + firmographics. Output renders in the run's **Output** tab with a dataset dropdown (**Jobs** / **Companies**). Download as JSON, CSV, or Excel, or pull via the Apify API.

Indeed Jobs Scraper input form on Apify Console β€” search keyword, location, country, the native salary-range filter, and a free company-profiles toggle

### Who it's for - **Recruiting & sourcing** β€” monitor live openings by role, location, and company; build talent pipelines. - **Salary benchmarking** β€” per-job pay ranges and compensation trends by title + market (with the native salary-range filter). - **Market & competitive research** β€” track competitor hiring activity, hiring demand, company growth, and ratings. - **Skills & labor-market analysis** β€” measure demand for specific skills, roles, and experience levels by region. - **Lead generation** β€” find companies actively hiring, with firmographics. - **Data enrichment & ML** β€” append company ratings/firmographics to your datasets, or feed job-recommendation/matching models and academic employment research. More ideas on Apify's [industry pages](https://apify.com/industries). ### Common use cases **1. Salary benchmark for a role + market** (the native filter no competitor has): ```json { "query": "software engineer", "location": "San Francisco, CA", "salaryMin": 150000, "maxItems": 500 } ```` **2. Fresh remote roles posted this week:** ```json { "query": "data analyst", "location": "Remote", "remote": "remote", "datePosted": "7", "sort": "date" } ``` **3. Jobs + free company firmographics:** ```json { "query": "registered nurse", "location": "Chicago, IL", "scrapeCompany": true, "maxItems": 200 } ``` **4. Look up specific jobs by key (refresh known listings):** ```json { "jobKeys": ["6e4040455f842cbd", "cc2175979cc7dfce"], "scrapeCompany": true } ``` ### How to scrape Indeed jobs 1. Enter a **search keyword** and **location** (or paste Indeed **search/job URLs**, or **job keys**). 2. Pick a **country** and optional **filters** (salary range, remote, date, job type, experience level). 3. Optionally toggle **company profiles** (free). 4. Click **Start** β€” results stream to the dataset as structured JSON (export to CSV, Excel, JSON, or API). ### Input | Field | Type | Notes | |---|---|---| | `query` | string | Job title / keywords (e.g. "software engineer") | | `location` | string | City, region, postal code, or "remote" β€” **must match the chosen country** | | `country` | enum | 60+ Indeed country sites (US, GB, CA, AU, IN, DE, FR, …) | | `maxItems` | int | Cap per run; `0` = no limit (date-sharded past the ~1,000 ceiling) | | `sort` | enum | `relevance` / `date` | | `radius` | int | Distance from location (unit auto by country) | | `datePosted` | enum | last 1 / 3 / 7 / 14 days | | `jobType` | array | full-time, part-time, contract, temporary, internship, per diem | | `remote` | enum | remote / hybrid | | `experienceLevel` | enum | entry / mid / senior | | `salaryMin` / `salaryMax` | int | **Native annual salary-range filter** | | `scrapeCompany` | bool | Add the free company-profile dataset (default on) | | `startUrls` | array | Indeed search or job URLs to scrape directly | | `jobKeys` | array | Indeed `jk=` values for exact lookup | ### Output Two datasets, joinable by `companyKey`. Company rows are **free** β€” you're billed per job only.

Indeed Jobs Scraper Jobs output β€” Overview table with title, company, rating, reviews, job category, location, salary, type, remote, and date-posted columns

**Jobs** (one representative row): ```json { "jobKey": "6d50b3ebeb3fb122", "title": "Senior Software Engineer", "company": "Plaid", "companyRating": 4.1, "companyReviewCount": 312, "companyPageUrl": "https://www.indeed.com/cmp/Plaid", "location": "New York, NY", "city": "New York", "state": "NY", "countryCode": "US", "latitude": 40.7142, "longitude": -74.0059, "salary": "$120,000 - $160,000 a year", "salaryMin": 120000, "salaryMax": 160000, "salaryPeriod": "YEAR", "currency": "USD", "jobType": ["Full-time"], "occupations": ["Software Development Occupations", "Back End Developers"], "remote": "remote", "datePosted": "2026-06-10", "benefits": ["Health insurance", "401(k)"], "description": "…full job description…", "isUrgentHire": false, "easyApply": true, "url": "https://www.indeed.com/viewjob?jk=6d50b3ebeb3fb122" } ``` **Companies** *(when `scrapeCompany` is on β€” free)*: ```json { "companyKey": "2434d16763f36e79", "company": "Plaid", "rating": 4.1, "reviewCount": 312, "industry": "Internet and Software", "employees": "1,001-5,000", "revenue": "$100M-$500M", "ceo": "Zach Perret", "founded": 2013, "website": "https://plaid.com", "companyPageUrl": "https://www.indeed.com/cmp/Plaid", "facebook": "…", "twitter": "…", "instagram": "…" } ```

Indeed Jobs Scraper Companies dataset β€” free company profiles with rating, review count, employee size, and website, joined to jobs by companyKey

You can download the dataset in JSON, CSV, Excel, or via the API. ### Pricing β€” how much does it cost to scrape Indeed? Pay-per-event: **$0.01 per run + $2 per 1,000 job rows**. **Company-profile rows are free**, and platform compute is included (no separate usage charge). | Example | Cost | |---|---| | 100 jobs | ~$0.21 | | 1,000 jobs | ~$2.01 | | 10,000 jobs | ~$20.01 | **Tiered discounts apply automatically** by Apify plan: $2.00 β†’ $1.80 (Starter) β†’ $1.50 (Scale) β†’ **$1.20 / 1,000 on Business** (40% off). The Apify [Free plan](https://apify.com/pricing) includes **$5/month** of usage β€” about **2,500 jobs free every month**. ### Run on a schedule / Indeed jobs API This actor doubles as an **Indeed jobs API** β€” call it from the [Apify API](https://docs.apify.com/api/v2) or the [Python](https://docs.apify.com/api/client/python) / [JS](https://docs.apify.com/api/client/js) clients, and use Apify [Schedules](https://docs.apify.com/platform/schedules) + [Webhooks](https://docs.apify.com/platform/integrations/webhooks) for incremental pulls (set `datePosted` to the last day and run daily). **Python** ```python from apify_client import ApifyClient ## Get your token from https://console.apify.com/account/integrations?fpr=factden client = ApifyClient("YOUR_APIFY_TOKEN") run = client.actor("factden/indeed-jobs-scraper").call(run_input={ "query": "software engineer", "location": "New York, NY", "salaryMin": 150000, "maxItems": 200, }) for job in client.dataset(run["defaultDatasetId"]).iterate_items(): print(job["title"], job["company"], job.get("salary")) ``` ### FAQ **Does it get all jobs or just the first page?** All result pages, up to your `maxItems`. It auto-shards by date window to break past Indeed's ~1,000-result depth ceiling, and reports retrieved-vs-estimated totals so you always know your coverage. **Can I filter by salary?** Yes β€” a **native** salary-range filter (`salaryMin`/`salaryMax`), which most Indeed scrapers don't support. **Is company data really free?** Yes. Company-profile rows go to a separate dataset that isn't billed β€” you only pay per job row. **What's the `occupations` field?** Indeed's job-category taxonomy (e.g. "Software Development Occupations", "Back End Developers") β€” populated per job, useful for filtering/segmenting by category. **Which countries are supported?** 60+ Indeed country sites (US, UK, Canada, Australia, India, Germany, France, and more). Make sure the `location` belongs to the chosen `country`. **Do I need an Indeed account or API key?** No login, account, or proxy setup required. **How much does it cost?** ~$2 per 1,000 jobs, with a free trial; company profiles are free. **Is scraping Indeed legal?** This actor collects only publicly available data. Note that personal data is protected by GDPR (EU) and similar laws elsewhere β€” don't scrape personal data without a legitimate reason, and consult your lawyers if unsure. You are responsible for complying with Indeed's terms and applicable laws. See Apify's guide: [is web scraping legal?](https://blog.apify.com/is-web-scraping-legal/). ### More from factden Researching software products? See our sibling actor **[G2 Reviews Scraper](https://apify.com/factden/g2-reviews-scraper?fpr=factden)** for B2B SaaS competitive intelligence and AI/RAG ingestion. Hotel review data? See **[Trip.com & Ctrip Hotel Reviews Scraper](https://apify.com/factden/ctrip-trip-reviews-scraper?fpr=factden)** for hospitality competitive intelligence and AI/RAG ingestion. *** *Built by [factden](https://apify.com/factden?fpr=factden) on the Apify platform. **Try the Indeed Jobs Scraper free** with Apify's $5 monthly credit.* *** *Keywords: indeed scraper, indeed jobs scraper, indeed api, scrape indeed, indeed job listings, indeed salary scraper, indeed company data, job board scraper.* # Actor input Schema ## `query` (type: `string`): Job title, keywords, or company to search for (e.g. "software engineer", "registered nurse"). Leave empty to scrape all jobs in the location. ## `location` (type: `string`): City, state/region, postal code, or "remote" (e.g. "New York, NY", "London", "90210"). ## `country` (type: `string`): Indeed country to search. 60+ supported. Switches the regional Indeed index. ## `maxItems` (type: `integer`): Maximum number of job listings to return across all result pages. Set 0 for no limit (capped by Indeed's depth ceiling β€” the run reports retrieved vs. estimated totals). ## `sort` (type: `string`): Result ordering. ## `scrapeCompany` (type: `boolean`): Also pull each company's profile: rating, reviews, size, CEO, founded, revenue, website & socials. Free β€” you're only billed per job. ## `radius` (type: `integer`): Distance from the location to include (0 = exact location only). Unit is set automatically by country β€” miles for US/UK/CA/AU/IE/NZ/IN/ZA, kilometers elsewhere. ## `datePosted` (type: `string`): Only jobs posted within this window. ## `jobType` (type: `array`): Filter by employment type (multiple allowed). ## `remote` (type: `string`): Filter to remote or hybrid roles. Leave as Any for no filter. ## `experienceLevel` (type: `string`): Filter by required experience level. Leave as Any for no filter. ## `salaryMin` (type: `integer`): Only jobs paying at least this much per year (native Indeed salary-range filter β€” most scrapers can't do this). ## `salaryMax` (type: `integer`): Only jobs paying at most this much per year. ## `startUrls` (type: `array`): Indeed search URLs (e.g. .../jobs?q=...\&l=...) or job URLs (.../viewjob?jk=...) to scrape directly, in addition to the keyword search above. ## `jobKeys` (type: `array`): Indeed job keys (the jk= value) to fetch directly β€” fast, exact lookup of known jobs. Works with or without a search. ## `proxyConfiguration` (type: `object`): Residential or mobile proxies are strongly recommended for reliability at scale. ## Actor input object example ```json { "query": "software engineer", "location": "New York, NY", "country": "US", "maxItems": 100, "sort": "relevance", "scrapeCompany": true, "radius": 25, "datePosted": "", "jobType": [], "remote": "", "experienceLevel": "", "startUrls": [], "jobKeys": [], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # Actor output Schema ## `jobs` (type: `string`): Per-job rows: title, company, rating, location, parsed salary, job type, remote, date posted, category, full description. ## `companies` (type: `string`): Per-employer rows (when company enrichment is on): rating, review count, industry, CEO, founded, revenue, website, socials. Free β€” billing is per job only. # 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 = { "query": "software engineer", "location": "New York, NY" }; // Run the Actor and wait for it to finish const run = await client.actor("factden/indeed-jobs-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "query": "software engineer", "location": "New York, NY", } # Run the Actor and wait for it to finish run = client.actor("factden/indeed-jobs-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "query": "software engineer", "location": "New York, NY" }' | apify call factden/indeed-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=factden/indeed-jobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Indeed Jobs Scraper πŸ’Ό Salaries, Filters & Company Data", "description": "$2/1K results Β· Scrape Indeed job listings with salaries, full descriptions and company profiles. Advanced filters (salary range, remote, date, job type, experience), all result pages, 60+ countries. No blocking. Free trial πŸš€", "version": "1.0", "x-build-id": "fW4DUfcCGbkcBYBnW" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/factden~indeed-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-factden-indeed-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/factden~indeed-jobs-scraper/runs": { "post": { "operationId": "runs-sync-factden-indeed-jobs-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/factden~indeed-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-factden-indeed-jobs-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": { "query": { "title": "πŸ” Search keywords", "type": "string", "description": "Job title, keywords, or company to search for (e.g. \"software engineer\", \"registered nurse\"). Leave empty to scrape all jobs in the location." }, "location": { "title": "πŸ“ Location", "type": "string", "description": "City, state/region, postal code, or \"remote\" (e.g. \"New York, NY\", \"London\", \"90210\")." }, "country": { "title": "🌍 Country", "enum": [ "US", "GB", "CA", "AU", "IN", "IE", "NZ", "ZA", "SG", "AE", "DE", "FR", "NL", "ES", "IT", "BE", "CH", "AT", "SE", "NO", "DK", "FI", "PL", "PT", "GR", "BR", "MX", "AR", "CL", "CO", "PE", "JP", "KR", "HK", "TW", "PH", "MY", "ID", "TH", "VN" ], "type": "string", "description": "Indeed country to search. 60+ supported. Switches the regional Indeed index.", "default": "US" }, "maxItems": { "title": "πŸ’― Max jobs", "minimum": 0, "type": "integer", "description": "Maximum number of job listings to return across all result pages. Set 0 for no limit (capped by Indeed's depth ceiling β€” the run reports retrieved vs. estimated totals).", "default": 100 }, "sort": { "title": "πŸ”€ Sort by", "enum": [ "relevance", "date" ], "type": "string", "description": "Result ordering.", "default": "relevance" }, "scrapeCompany": { "title": "🏒 Company profiles (free)", "type": "boolean", "description": "Also pull each company's profile: rating, reviews, size, CEO, founded, revenue, website & socials. Free β€” you're only billed per job.", "default": true }, "radius": { "title": "πŸ“‘ Search radius", "minimum": 0, "maximum": 100, "type": "integer", "description": "Distance from the location to include (0 = exact location only). Unit is set automatically by country β€” miles for US/UK/CA/AU/IE/NZ/IN/ZA, kilometers elsewhere.", "default": 25 }, "datePosted": { "title": "πŸ“… Date posted", "enum": [ "", "1", "3", "7", "14" ], "type": "string", "description": "Only jobs posted within this window.", "default": "" }, "jobType": { "title": "πŸ’Ό Job type", "type": "array", "description": "Filter by employment type (multiple allowed).", "items": { "type": "string", "enum": [ "fulltime", "parttime", "contract", "temporary", "internship", "perdiem" ], "enumTitles": [ "Full-time", "Part-time", "Contract", "Temporary", "Internship", "Per diem" ] }, "default": [] }, "remote": { "title": "🏠 Remote / on-site", "enum": [ "", "remote", "hybrid" ], "type": "string", "description": "Filter to remote or hybrid roles. Leave as Any for no filter.", "default": "" }, "experienceLevel": { "title": "πŸ§‘β€πŸŽ“ Experience level", "enum": [ "", "entry_level", "mid_level", "senior_level" ], "type": "string", "description": "Filter by required experience level. Leave as Any for no filter.", "default": "" }, "salaryMin": { "title": "πŸ’° Minimum salary (annual)", "minimum": 0, "type": "integer", "description": "Only jobs paying at least this much per year (native Indeed salary-range filter β€” most scrapers can't do this)." }, "salaryMax": { "title": "πŸ’° Maximum salary (annual)", "minimum": 0, "type": "integer", "description": "Only jobs paying at most this much per year." }, "startUrls": { "title": "πŸ”— Start URLs (optional)", "type": "array", "description": "Indeed search URLs (e.g. .../jobs?q=...&l=...) or job URLs (.../viewjob?jk=...) to scrape directly, in addition to the keyword search above.", "default": [], "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "jobKeys": { "title": "πŸ”‘ Job keys (lookup mode)", "type": "array", "description": "Indeed job keys (the jk= value) to fetch directly β€” fast, exact lookup of known jobs. Works with or without a search.", "default": [], "items": { "type": "string" } }, "proxyConfiguration": { "title": "🌐 Proxy", "type": "object", "description": "Residential or mobile proxies are strongly recommended for reliability at scale.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```