# Naukri.com Jobs Scraper (`parseforge/naukri-com-scraper`) Actor Scrape job listings from Naukri.com, India's largest job portal. Search by keyword, location, experience, work type, and sort order. Extract job title, company, salary, skills, description, ratings, and 15+ structured fields per listing. Fast API-based extraction, no browser needed. - **URL**: https://apify.com/parseforge/naukri-com-scraper.md - **Developed by:** [ParseForge](https://apify.com/parseforge) (community) - **Categories:** Jobs, Developer tools, Automation - **Stats:** 200 total users, 48 monthly users, 100.0% runs succeeded, 2 bookmarks - **User rating**: No ratings yet ## Pricing from $18.00 / 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. 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 ![ParseForge Banner](https://github.com/ParseForge/apify-assets/blob/ad35ccc13ddd068b9d6cba33f323962e39aed5b2/banner.jpg?raw=true) ## ๐Ÿ‡ฎ๐Ÿ‡ณ Naukri.com Jobs Scraper > ๐Ÿš€ **Pull Indian job listings from Naukri.com in minutes.** Title, company, salary, skills, experience, work type, ratings. No login, no API key. > ๐Ÿ•’ **Last updated:** 2026-05-08 ยท **๐Ÿ“Š 15+ fields** per listing ยท **๐Ÿ” Keyword + location + experience filters** ยท **๐Ÿšซ No auth** required Pull live job listings from Naukri.com, India's largest job portal. The actor accepts a search keyword plus location, experience, work-type, and sort filters, paginates through results, and returns one structured record per job ready for talent sourcing, recruitment intelligence, salary research, or labor market analysis. Every run fetches data live so you get the current state of Naukri at run time, not a stale dump. Records include the job title, company name, salary range, required skills, experience range, location, work type (office/remote/hybrid), company rating, post date, full job description, and the canonical Naukri URL. | ๐Ÿ‘ฅ Built for | ๐ŸŽฏ Primary use cases | |---|---| | Indian recruiters | Source candidates and benchmark roles | | Recruitment agencies | Build pipelines by skill and location | | HR analytics | Track salary bands and demand by skill | | Talent acquisition | Monitor competitor hiring activity | | Researchers | Study Indian labor market trends | | Lead-gen and CRM | Source company contacts for B2B sales | --- ### ๐Ÿ“‹ What the Naukri Scraper does - ๐Ÿ” **Keyword search.** Pass any Naukri search query (e.g. `python developer`, `data analyst`, react). - ๐Ÿ“ **Location filter.** Filter by Indian city (bangalore, mumbai, delhi, hyderabad, etc.). - โณ **Experience filter.** Set minimum years of experience required. - ๐Ÿ  **Work type filter.** Office, Remote/Work-from-Home, or Hybrid. - ๐Ÿ”„ **Sort options.** Relevance or Date Posted. - ๐Ÿ’ฐ **Salary data.** Salary range as advertised on the listing. The scraper walks Naukri's API surface for your filter combination, fetches each job listing, and pushes structured records to the dataset. It runs without a browser for fast, lightweight pulls. > ๐Ÿ’ก **Why it matters:** Naukri.com lists millions of Indian jobs but its UI is paginated, JS-rendered, and lacks bulk export. A live, structured pull beats manual sourcing for recruiting, HR analytics, and competitive intelligence at scale. --- ### ๐ŸŽฌ Full Demo ๐Ÿšง Coming soon: a 3-minute walkthrough showing setup, a live run, and how to pipe results into Greenhouse via Apify integrations. --- ### โš™๏ธ Input | Field | Type | Name | Description | |---|---|---|---| | keyword | string | Search Keyword | Required. Job title or keyword (e.g. `python developer`, `data analyst`). | | maxItems | integer | Max Items | Free users: limited to 10 items (preview). Paid users: optional, max 1,000,000. | | location | string | Location | Optional. Indian city (e.g. bangalore, mumbai, delhi, hyderabad). | | experience | integer | Minimum Experience (years) | Optional minimum experience required. | | sortBy | enum | Sort By | relevance or date. | | workType | enum | Work Type | office, remote, hybrid, or empty for all. | Example 1. Python developer roles in Bangalore, 3+ years experience. ```json { "keyword": "python developer", "location": "bangalore", "experience": 3, "sortBy": "date", "maxItems": 50 } ```` Example 2. Remote data analyst roles, sorted by relevance. ```json { "keyword": "data analyst", "workType": "remote", "sortBy": "relevance", "maxItems": 100 } ``` > โš ๏ธ **Good to Know:** the location field is matched as Naukri matches it. Use the standard city slug (e.g. bangalore not bengaluru). *** ### ๐Ÿ“Š Output The dataset returns one structured record per job listing. Each record carries identifiers, title, company, salary, skills, experience, location, work type, company rating, post date, full description, and a back-reference URL. Consume the dataset as JSON, CSV, Excel, XML, or RSS via the Apify console or API. #### ๐Ÿงพ Schema | Field | Type | Example | |---|---|---| | ๐Ÿ†” jobId | string | `230325000123456` | | ๐Ÿ“ title | string | `Senior Python Developer` | | ๐Ÿข company | string | `Acme Tech Pvt Ltd` | | โญ companyRating | number or null | `4.2` | | ๐Ÿ’ฐ salary | string | `15-25 LPA` | | ๐Ÿ“ location | string | Bangalore | | ๐Ÿ  workType | string | Hybrid | | โณ experience | string | `5-8 years` | | ๐Ÿ› ๏ธ skills | array | `["Python", "Django", "PostgreSQL", "AWS"]` | | ๐Ÿ“ƒ description | string | `We are looking for a Senior Python Developer...` | | ๐Ÿ“… postedAt | ISO datetime | `2026-04-12T00:00:00.000Z` | | ๐Ÿ“… postedAgo | string | `26d` | | ๐Ÿ”ข applicationsCount | number | `1245` | | ๐Ÿท๏ธ industry | string | `IT Services & Consulting` | | ๐Ÿ”— jobUrl | string (url) | `https://www.naukri.com/job-listings-...` | | ๐Ÿ“… scrapedAt | ISO datetime | `2026-05-08T12:00:00.000Z` | #### ๐Ÿ“ฆ Sample records ##### 1. Typical record (senior Python role in Bangalore) ```json { "jobId": "230325000123456", "title": "Senior Python Developer", "company": "Acme Tech Pvt Ltd", "companyRating": 4.2, "salary": "15-25 LPA", "location": "Bangalore", "workType": "Hybrid", "experience": "5-8 years", "skills": ["Python", "Django", "PostgreSQL", "AWS"], "description": "We are looking for a Senior Python Developer with 5+ years of experience...", "postedAt": "2026-04-12T00:00:00.000Z", "postedAgo": "26d", "applicationsCount": 1245, "industry": "IT Services & Consulting", "jobUrl": "https://www.naukri.com/job-listings-senior-python-developer-acme-tech-bangalore-230325000123456", "scrapedAt": "2026-05-08T12:00:00.000Z" } ``` ##### 2. Remote data analyst role ```json { "jobId": "230401000234567", "title": "Data Analyst", "company": "DataPro Solutions", "companyRating": 3.8, "salary": "8-12 LPA", "location": "Remote", "workType": "Remote", "experience": "2-4 years", "skills": ["SQL", "Python", "Tableau", "Excel"], "postedAt": "2026-05-01T00:00:00.000Z", "postedAgo": "1w", "applicationsCount": 567, "industry": "Analytics / KPO", "jobUrl": "https://www.naukri.com/job-listings-data-analyst-datapro-remote-230401000234567", "scrapedAt": "2026-05-08T12:00:00.000Z" } ``` ##### 3. Sparse record (junior listing, minimal fields) ```json { "jobId": "230507000345678", "title": "Junior React Developer", "company": "Startup XYZ", "salary": null, "location": "Hyderabad", "experience": "0-2 years", "skills": ["React", "JavaScript"], "postedAt": "2026-05-07T00:00:00.000Z", "postedAgo": "1d", "jobUrl": "https://www.naukri.com/job-listings-junior-react-developer-startup-xyz-hyderabad-230507000345678", "scrapedAt": "2026-05-08T12:00:00.000Z" } ``` *** ### โœจ Why choose this Actor | | Capability | |---|---| | ๐ŸŽฏ | **Built for the job.** Scoped specifically to Naukri.com so you skip the parser engineering entirely. | | ๐Ÿ”– | **Structured output.** Clean, typed fields ready for analysis, dashboards, or downstream pipelines. | | โšก | **Fast.** API-based extraction (no browser) returns results in seconds, not minutes. | | ๐Ÿ” | **Always fresh.** Every run pulls live data, so the dataset reflects Naukri as of run time. | | ๐ŸŒ | **No infra to manage.** Apify handles proxies, retries, scaling, scheduling, and storage. | | ๐Ÿ›ก๏ธ | **Reliable.** Battle-tested across many runs and edge cases, with graceful error handling. | | ๐Ÿšซ | **No code required.** Configure in the UI, run from CLI, schedule via cron, or call from any language with the Apify SDK. | > ๐Ÿ“Š Production-grade structured Indian job data without the engineering overhead of building and maintaining your own scraper. *** ### ๐Ÿ“ˆ How it compares to alternatives | Approach | Cost | Coverage | Refresh | Filters | Setup | |---|---|---|---|---|---| | **โญ Naukri Jobs Scraper** *(this Actor)* | $5 free credit, then pay-per-use | Full Naukri catalog | **Live per run** | Keyword, location, experience, work type | โšก 2 min | | Build your own scraper | Engineering hours | Full once built | Whenever you maintain it | Custom code | ๐Ÿข Days to weeks | | Paid recruiter ATS feeds | $$$ monthly | Vendor-defined | Periodic | Vendor-defined | โณ Hours | | Manual searches | Hours per check | Limited | Stale | Manual | ๐Ÿ•’ Variable | Pick this Actor when you want broad coverage, source-native filtering, and no pipeline maintenance. *** ### ๐Ÿš€ How to use 1. ๐Ÿ“ **Sign up.** [Create a free account with $5 credit](https://console.apify.com/sign-up?fpr=vmoqkp) (takes 2 minutes). 2. ๐ŸŒ **Open the Actor.** Go to the Naukri.com Jobs Scraper page on the Apify Store. 3. ๐ŸŽฏ **Set filters.** Set a keyword and pick location, experience, and work type, then set maxItems. 4. ๐Ÿš€ **Run it.** Click **Start** and let the Actor collect your data. 5. ๐Ÿ“ฅ **Download.** Grab your results in the **Dataset** tab as CSV, Excel, JSON, or XML. > โฑ๏ธ Total time from signup to downloaded dataset: **3-5 minutes.** No coding required. *** ### ๐Ÿ’ผ Business use cases
#### ๐Ÿ“Š Talent sourcing - Build matched candidate pipelines by skill and city - Identify roles with high applicant volume - Filter by experience for level-specific outreach - Power Indian recruiting workflows at scale #### ๐Ÿข HR analytics - Track salary bands by role and city - Map demand by skill and industry - Build labor market reports for India - Surface remote / hybrid trends
#### ๐ŸŽฏ Competitive intelligence - Monitor competitor hiring activity - Spot product launches via role types posted - Track headcount expansion in target companies - Build employer-of-choice ranking by India ratings #### ๐Ÿ› ๏ธ Engineering and product - Prototype talent-marketplace products without owning a crawler - Replace fragile in-house Naukri scrapers - Wire datasets into your apps via the Apify API or webhooks - Skip the proxy, retry, and parsing maintenance entirely
*** ### ๐ŸŒŸ Beyond business use cases Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.
#### ๐ŸŽ“ Research and academia - Empirical datasets for papers, thesis work, and coursework - Longitudinal studies tracking changes across snapshots - Reproducible research with cited, versioned data pulls - Classroom exercises on data analysis and ethical scraping #### ๐ŸŽจ Personal and creative - Side projects, portfolio demos, and indie app launches - Data visualizations, dashboards, and infographics - Content research for bloggers, YouTubers, and podcasters - Hobbyist collections and personal trackers
#### ๐Ÿค Non-profit and civic - Transparency reporting and accountability projects - Advocacy campaigns backed by public-interest data - Community-run databases for local issues - Investigative journalism on public records #### ๐Ÿงช Experimentation - Prototype AI and machine-learning pipelines with real data - Validate product-market hypotheses before engineering spend - Train small domain-specific models on niche corpora - Test dashboard concepts with live input
*** ### ๐Ÿ”Œ Automating Naukri Jobs Scraper This Actor exposes a REST endpoint, so you can drive it from any language or workflow tool. - **Node.js** - call it via the [Apify JS SDK](https://docs.apify.com/sdk/js). - **Python** - call it via the [Apify Python SDK](https://docs.apify.com/sdk/python). - **REST** - hit it directly through the [Apify v2 API](https://docs.apify.com/api/v2). **Schedules.** Use Apify Scheduler to capture daily snapshots of new job postings. Combine with the Apify dataset diff tools to track new and changed listings between runs. *** ### โ“ Frequently Asked Questions
๐Ÿ’ณ Do I need a paid Apify plan to run this actor? No. You can start right now on the free Apify plan, which includes **$5 in monthly credit**. That is enough to run the scraper several times and explore the output. Paid plans unlock higher item caps, more concurrent runs, and larger datasets. [Create a free Apify account here](https://console.apify.com/sign-up?fpr=vmoqkp).
๐Ÿšจ What happens if my run fails or returns no results? Failed runs are not charged. If Naukri changes its API, proxies get rate-limited, or your filters match nothing, re-run the actor or open our [contact form](https://tally.so/r/BzdKgA) and we will look into it.
๐Ÿ“ How many items can I scrape per run? Free users are limited to **10 items per run** so you can preview the output. Paid users can raise maxItems up to **1,000,000** per run.
๐Ÿ•’ How fresh is the data? Every run fetches live data at the moment of execution. There is no cache or delay: records reflect what Naukri returned at run time. Schedule the actor to maintain a rolling snapshot.
๐Ÿง‘โ€๐Ÿ’ป Can I call this actor from my own code? Yes. Apify exposes every actor as a REST endpoint and ships first-class SDKs for [Node.js](https://docs.apify.com/sdk/js) and [Python](https://docs.apify.com/sdk/python). You can start a run, read the dataset, and handle webhooks from your own app in a few lines.
๐Ÿ“ค How do I export the data? Every Apify dataset can be downloaded in one click as CSV, JSON, JSONL, Excel, HTML, XML, or RSS. You can also pull results programmatically via the [Apify API](https://docs.apify.com/api/v2) or stream into BigQuery, S3, and other destinations through built-in integrations.
๐Ÿ“… Can I schedule the actor to run automatically? Yes. Use the Apify scheduler to run the actor on any cadence, from hourly to monthly. Results are saved to your dataset and can be delivered to webhooks, email, Slack, cloud storage, or automation tools such as Zapier and Make.
๐Ÿช Can I use the data commercially? Yes. The scraped data is yours to use in your own internal pipelines, products, and reports, subject to the terms of service of the source site and applicable Indian privacy laws.
๐Ÿ’ผ Which plan should I pick for production use? Apify's Starter and Scale plans are designed for production workloads. They give you faster instances, more concurrent runs, and higher proxy quotas. Pick the plan that matches your dataset size and refresh cadence.
๐Ÿ› ๏ธ The data I need is not in the output. Can you add it? Most likely yes. Open the [contact form](https://tally.so/r/BzdKgA) and tell us which field you need. We add fields all the time when there is a clear use case and the source page exposes the data.
โš–๏ธ Is scraping Naukri legal? This Actor only collects data from publicly accessible Naukri.com pages, the same content any visitor can read. Public web scraping is generally legal in most jurisdictions for non-personal data, but laws vary by country and use case. You are responsible for compliance with the source site's Terms of Service and applicable law (including India's Information Technology Act and any sectoral data-protection rules). ***
### ๐Ÿ”Œ Integrate with any app Naukri Jobs Scraper connects to any cloud service via [Apify integrations](https://apify.com/integrations): - [**Make**](https://docs.apify.com/platform/integrations/make) - Automate multi-step workflows - [**Zapier**](https://docs.apify.com/platform/integrations/zapier) - Connect with 5,000+ apps - [**Slack**](https://docs.apify.com/platform/integrations/slack) - Get run notifications in your channels - [**Airbyte**](https://docs.apify.com/platform/integrations/airbyte) - Pipe results into your warehouse - [**GitHub**](https://docs.apify.com/platform/integrations/github) - Trigger runs from commits and releases - [**Google Drive**](https://docs.apify.com/platform/integrations/drive) - Export datasets straight to Sheets You can also use webhooks to trigger downstream actions when a run finishes. *** ### ๐Ÿ”— Recommended Actors - [**๐Ÿ’ผ Indeed Scraper**](https://apify.com/parseforge/indeed-scraper) - Job listings with compensation and benefits - [**๐Ÿ’ผ Glassdoor Scraper**](https://apify.com/parseforge/glassdoor-scraper) - Company reviews, salaries, and ratings - [**๐Ÿ’ผ LinkedIn Profile Scraper**](https://apify.com/parseforge/linkedin-profile-scraper) - LinkedIn profiles with experience and skills - [**๐Ÿ’ผ Greenhouse Jobs Scraper**](https://apify.com/parseforge/greenhouse-jobs-scraper) - Company-specific Greenhouse postings - [**๐Ÿข IndiaMART Scraper**](https://apify.com/parseforge/indiamart-scraper) - Indian B2B supplier listings > ๐Ÿ’ก **Pro Tip:** browse the complete [ParseForge collection](https://apify.com/parseforge) for more reference-data scrapers. *** **๐Ÿ†˜ Need Help?** [**Open our contact form**](https://tally.so/r/BzdKgA) to request a new scraper, propose a custom project, or report an issue. *** > โš ๏ธ **Disclaimer.** This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Naukri.com or Info Edge (India) Ltd. All trademarks mentioned are the property of their respective owners. The scraper accesses only publicly available pages and is intended for legitimate research, analytics, and recruitment use. Users are responsible for compliance with the source site's Terms of Service and applicable law. # Actor input Schema ## `keyword` (type: `string`): Job title or keywords to search for (e.g. python developer, data analyst, react) ## `maxItems` (type: `integer`): Free users: Limited to 10 items (preview). Paid users: Optional, max 1,000,000 ## `location` (type: `string`): City to filter jobs (e.g. bangalore, mumbai, delhi, hyderabad). Leave empty for all locations. ## `experience` (type: `integer`): Minimum years of experience required. Leave empty for all experience levels. ## `sortBy` (type: `string`): How to sort the search results ## `workType` (type: `string`): Filter by work arrangement ## Actor input object example ```json { "keyword": "python developer", "maxItems": 10, "sortBy": "relevance", "workType": "" } ``` # Actor output Schema ## `overview` (type: `string`): Overview of job listings with key fields ## `fullData` (type: `string`): Complete dataset with all scraped job fields # 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 = { "keyword": "python developer", "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("parseforge/naukri-com-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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 = { "keyword": "python developer", "maxItems": 10, } # Run the Actor and wait for it to finish run = client.actor("parseforge/naukri-com-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "keyword": "python developer", "maxItems": 10 }' | apify call parseforge/naukri-com-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=parseforge/naukri-com-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Naukri.com Jobs Scraper", "description": "Scrape job listings from Naukri.com, India's largest job portal. Search by keyword, location, experience, work type, and sort order. Extract job title, company, salary, skills, description, ratings, and 15+ structured fields per listing. Fast API-based extraction, no browser needed.", "version": "1.0", "x-build-id": "FncinC4sHVuaIA2te" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/parseforge~naukri-com-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-parseforge-naukri-com-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/parseforge~naukri-com-scraper/runs": { "post": { "operationId": "runs-sync-parseforge-naukri-com-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/parseforge~naukri-com-scraper/run-sync": { "post": { "operationId": "run-sync-parseforge-naukri-com-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "keyword" ], "properties": { "keyword": { "title": "Search Keyword", "type": "string", "description": "Job title or keywords to search for (e.g. python developer, data analyst, react)" }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 1000000, "type": "integer", "description": "Free users: Limited to 10 items (preview). Paid users: Optional, max 1,000,000" }, "location": { "title": "Location", "type": "string", "description": "City to filter jobs (e.g. bangalore, mumbai, delhi, hyderabad). Leave empty for all locations." }, "experience": { "title": "Minimum Experience (years)", "minimum": 0, "maximum": 30, "type": "integer", "description": "Minimum years of experience required. Leave empty for all experience levels." }, "sortBy": { "title": "Sort By", "enum": [ "relevance", "date" ], "type": "string", "description": "How to sort the search results", "default": "relevance" }, "workType": { "title": "Work Type", "enum": [ "", "office", "remote", "hybrid" ], "type": "string", "description": "Filter by work arrangement", "default": "" } } }, "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 } } } } } } } } } } ```