{ "openapi": "3.0.1", "info": { "title": "Internshala Scraper — Internships, Jobs, Stipends & Companies", "description": "Internshala scraper: export internships and fresher jobs with stipend or salary as numbers, duration, experience, locations, work from home, apply-by and posting dates, applicants, openings, skills, perks, full description and company details. Search by keyword, category, city or URL. No login.", "version": "1.0", "x-build-id": "XiKS99fLfZN1hMPA7" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/logiover~internshala-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-logiover-internshala-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/logiover~internshala-scraper/runs": { "post": { "operationId": "runs-sync-logiover-internshala-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/logiover~internshala-scraper/run-sync": { "post": { "operationId": "run-sync-logiover-internshala-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "opportunityType": { "title": "Internships, jobs or both", "enum": [ "internships", "jobs", "both" ], "type": "string", "description": "Which Internshala section to read. \"jobs\" are Internshala's fresher and experienced jobs (0–5+ years); \"both\" reads internships and jobs in one run and de-duplicates them.", "default": "internships" }, "keywords": { "title": "Keywords", "type": "array", "description": "Free-text searches, one per line, exactly like Internshala's search box (e.g. \"python\", \"data science\", \"graphic design\"). Every keyword is a separate search; results are de-duplicated. Leave empty to list everything.", "default": [], "items": { "type": "string" } }, "categories": { "title": "Categories / profiles", "type": "array", "description": "Internshala categories, one per line: \"Web Development\", \"Data Science\", \"Marketing\", \"Finance\", \"HR\", \"Content Writing\", \"Graphic Design\", \"Business Development\" … Names or Internshala slugs (web-development) both work; unknown names are reported with suggestions.", "default": [], "items": { "type": "string" } }, "cities": { "title": "Cities", "type": "array", "description": "Cities, one per line: \"Mumbai\", \"Bangalore\", \"Delhi\", \"Pune\", \"Hyderabad\", \"Chennai\", \"Kolkata\", \"Noida\", \"Gurgaon\" … (Bengaluru, Gurugram and other common names are understood). A city search returns the in-office and hybrid postings there; use \"Work from home\" for remote ones.", "default": [], "items": { "type": "string" } }, "workFromHome": { "title": "Work from home only", "type": "boolean", "description": "Only remote (work-from-home) postings.", "default": false }, "partTime": { "title": "Part-time only", "type": "boolean", "description": "Only part-time internships or jobs.", "default": false }, "minStipend": { "title": "Minimum monthly stipend (internships)", "enum": [ "", "2000", "4000", "6000", "8000", "10000" ], "type": "string", "description": "Internshala's stipend filter: at least ₹2,000 / 4,000 / 6,000 / 8,000 / 10,000 a month. Internships only.", "default": "" }, "maxDurationMonths": { "title": "Maximum duration (internships)", "enum": [ "", "1", "2", "3", "4", "6", "12", "24", "36" ], "type": "string", "description": "Internshala's duration filter: internships lasting at most this many months. Internships only.", "default": "" }, "jobOfferOnly": { "title": "Internships with a job offer (PPO) only", "type": "boolean", "description": "Only internships that come with a pre-placement job offer after the internship.", "default": false }, "minSalaryLpa": { "title": "Minimum salary in LPA (jobs)", "minimum": 0, "maximum": 10, "type": "integer", "description": "Internshala's salary filter for jobs, in lakhs per annum (1 LPA = ₹1,00,000 a year), 0–10. 0 = any salary. Jobs only.", "default": 0 }, "experience": { "title": "Experience (jobs)", "enum": [ "", "fresher", "1", "2", "3", "4", "5", "5plus" ], "type": "string", "description": "Internshala's experience filter for jobs: fresher jobs only, or jobs that ask for at most N years. Jobs only.", "default": "" }, "startUrls": { "title": "Internshala URLs", "type": "array", "description": "Optional: paste Internshala search pages (any filters you set on the website, e.g. https://internshala.com/internships/work-from-home-python-internships/) or posting pages (https://internshala.com/internship/detail/…, https://internshala.com/job/detail/…). Search pages are read to the end; postings are read one by one.", "default": [], "items": { "type": "string" } }, "includeDetails": { "title": "Read every posting's page (full details)", "type": "boolean", "description": "On (recommended): open every posting for the full description, who can apply, perks, openings, applicants, apply-by date, start window, salary breakup, probation and the company block (Internshala company page, website, about, hiring since, hires). Off: only the search-card fields, faster.", "default": true }, "includeUnlistedPostings": { "title": "Whole-corpus runs: add postings only the sitemap lists", "type": "boolean", "description": "When no filter, keyword or URL is set, also read Internshala's public sitemap and add active postings that the search page does not show (about 1,100 internships on 2026-10-25), so the run covers the whole live corpus. Needs \"Read every posting's page\".", "default": true }, "maxResults": { "title": "Maximum results", "minimum": 0, "maximum": 100000, "type": "integer", "description": "Stop after this many postings in total (0 = no limit). On 2026-10-25 Internshala had about 7,850 live internships and 4,970 jobs.", "default": 1000 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Leave empty: the Actor connects directly and switches on its own to the Apify datacenter proxy and, if needed, a small residential rescue route when Internshala refuses the platform's address. Set a proxy here only to force one.", "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 } } } } } } } } } }