{ "openapi": "3.0.1", "info": { "title": "Apna Jobs Scraper | India Jobs API (apna.co) with Salaries", "description": "$0.80 per 1,000 jobs, description included | Scrape Apna (apna.co) India jobs by keyword, city, department, work mode, shift and education, or export the whole board (76,000+ jobs). Salary, area, experience, openings. Only-new mode. No login, no proxy.", "version": "0.1", "x-build-id": "Suu4gg585K4JW11C6" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/data_daemon~apna-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-data_daemon-apna-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/data_daemon~apna-jobs-scraper/runs": { "post": { "operationId": "runs-sync-data_daemon-apna-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/data_daemon~apna-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-data_daemon-apna-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": { "searchTerms": { "title": "Keywords (optional)", "type": "array", "description": "Job titles or skills, e.g. `telecaller`, `delivery boy`, `accountant`, `python developer`, `driver`. One Apna search per keyword; Apna returns at most 500 jobs per keyword. Leave empty for the latest jobs, filtered by city, department and the options below.", "default": [], "items": { "type": "string" } }, "allJobs": { "title": "All jobs on the board (full export)", "type": "boolean", "description": "Ignore the keywords and export every open Apna job, department by department (about 71,000 of the 76,800 open jobs on 26 Oct 2026 carry a department). Combine with `Only new jobs since the last run` for a daily feed, or with cities / departments to export a slice. Large: set a maximum cost per run.", "default": false }, "cities": { "title": "Cities", "type": "array", "description": "City names, e.g. `Mumbai`, `Delhi`, `Bangalore`, `Hyderabad`, `Pune`, `Chennai`, `Kolkata`, `Ahmedabad`, `Jaipur`, `Lucknow`. Apna filters by 74 cities; Delhi, Gurgaon, Noida and Ghaziabad all map to Delhi-NCR. Other place names are matched against each job's location. `remote` means work from home.", "default": [], "items": { "type": "string" } }, "departments": { "title": "Departments", "type": "array", "description": "Apna departments, e.g. `Sales & BD`, `Customer Support`, `Delivery / Driver / Logistics`, `Software Engineering`, `Finance & Accounting`, `Healthcare / Doctor / Hospital Staff`, `Banking / Insurance / Financial Services`. A word such as `sales`, `delivery` or `healthcare` picks the matching department. Applies to runs without keywords.", "default": [], "items": { "type": "string" } }, "workModes": { "title": "Work mode", "type": "array", "description": "Only jobs with these work modes. Empty = any.", "items": { "type": "string", "enum": [ "wfh", "wfo", "wff" ], "enumTitles": [ "Work from home", "Work from office", "Field job" ] }, "default": [] }, "workType": { "title": "Full time or part time", "enum": [ "any", "full_time", "part_time" ], "type": "string", "description": "Only full-time or only part-time jobs.", "default": "any" }, "shift": { "title": "Shift", "enum": [ "any", "day_shift", "night_shift" ], "type": "string", "description": "Only day-shift or only night-shift jobs.", "default": "any" }, "education": { "title": "Education asked for", "enum": [ "any", "10th", "12th", "diploma", "iti", "graduate", "postgraduate" ], "type": "string", "description": "Jobs open to candidates with this highest education, as Apna filters them.", "default": "any" }, "englishLevel": { "title": "English level", "enum": [ "any", "noenglish", "basic", "intermediate", "advanced" ], "type": "string", "description": "Jobs open to candidates with this English level, as Apna filters them.", "default": "any" }, "postedWithin": { "title": "Posted within", "enum": [ "any", "24h", "3d", "7d" ], "type": "string", "description": "Only jobs posted recently (Apna's own windows). `Last 24 hours` with `All jobs` is a daily board-wide feed of about 950 new jobs.", "default": "any" }, "includeDescription": { "title": "Include the job description", "type": "boolean", "description": "Full job description as plain text. Keyword searches fetch each job page for it (slower); the feed already carries it. Price is the same either way.", "default": true }, "maxJobsPerSearch": { "title": "Max jobs per keyword or listing", "minimum": 0, "type": "integer", "description": "Cap for each keyword (or each city / department listing). 0 = no cap. Not used with `All jobs`.", "default": 50 }, "maxJobs": { "title": "Max jobs in total", "minimum": 0, "type": "integer", "description": "Stop after this many saved jobs. 0 or empty = no total cap (the run's maximum cost still applies)." }, "onlyNewSinceLastRun": { "title": "Only new jobs since the last run", "type": "boolean", "description": "For schedules: remember delivered job ids (in a named key-value store in your account) and save only jobs that earlier runs with the same settings did not deliver. Skipped jobs are not charged.", "default": false }, "stateName": { "title": "Memory name (optional)", "type": "string", "description": "Name of the only-new memory. Empty = derived from the keywords and filters. Give two schedules the same name to share one memory." }, "skipJobIds": { "title": "Job ids to skip", "type": "array", "description": "Apna job ids you already have (the `id` field). They are neither saved nor charged.", "default": [], "items": { "type": "string" } }, "proxyConfiguration": { "title": "Proxy", "type": "object", "description": "Not needed: the Apna public job feed answers Apify servers directly. Use a proxy only if requests start failing.", "default": { "useApifyProxy": false } } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 }, "PROXY_UNBLOCKER_UNITS": { "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 }, "PROXY_UNBLOCKER_UNITS": { "type": "integer", "example": 0 } } } } } } } } } }