Instahyre Jobs Scraper
Pricing
$2.00 / 1,000 job listing results
Instahyre Jobs Scraper
Scrape Instahyre India tech job listings by function, skill, location, company size and job type, with descriptions and new/updated/removed tracking.
Instahyre Jobs Scraper
Pricing
$2.00 / 1,000 job listing results
Scrape Instahyre India tech job listings by function, skill, location, company size and job type, with descriptions and new/updated/removed tracking.
You can access the Instahyre Jobs Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.
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Leave empty to skip keyword matching.", "items": { "type": "string" } }, "locations": { "title": "Locations", "type": "array", "description": "Cities to keep, e.g. Bangalore, Gurgaon, Hyderabad, Pune, Work From Home (or 'remote'). A job matches when any of these appears in its location list. Leave empty for all of India.", "items": { "type": "string" } }, "functions": { "title": "Job functions", "type": "array", "description": "Instahyre job functions to include, by name or numeric id, e.g. Backend Development, Full-Stack Development, Data Science / Machine Learning, DevOps / Cloud, Product Management. Partial names match every function containing them (e.g. 'development').", "items": { "type": "string" } }, "skills": { "title": "Skills", "type": "array", "description": "Exact skill names as they appear on Instahyre listings, e.g. React.js, Node.js, Python, AWS. Matching is case-insensitive and a job needs any one of them. Partial names do not match — use Keywords for fuzzy matching.", "items": { "type": "string" } }, "companies": { "title": "Companies", "type": "array", "description": "Only return jobs from these employers (exact company names as shown on Instahyre, e.g. Amazon, Accenture).", "items": { "type": "string" } }, "industries": { "title": "Industries", "type": "array", "description": "Employer industries to include, by name or numeric id, e.g. Software / IT, Banking / Financial Services, E-Commerce. Partial names match every industry containing them.", "items": { "type": "string" } }, "jobTypes": { "title": "Job types", "type": "array", "description": "Employment type to include. Leave empty (or select both) for all jobs.", "items": { "type": "string", "enum": [ "full_time", "internship" ], "enumTitles": [ "Full-time", "Internship" ] } }, "companySizes": { "title": "Company sizes", "type": "array", "description": "Employer size buckets to include: small (under 50 employees), medium (50-199) or large (200+). Leave empty for all sizes.", "items": { "type": "string", "enum": [ "small", "medium", "large" ], "enumTitles": [ "Small (under 50 employees)", "Medium (50-199 employees)", "Large (200+ employees)" ] } }, "experienceLevels": { "title": "Experience levels", "type": "array", "description": "Seniority buckets to include, as classified by Instahyre. Leave empty for all levels.", "items": { "type": "string", "enum": [ "internship", "entry_level", "associate", "mid_senior", "senior" ], "enumTitles": [ "Internship", "Entry level", "Associate", "Mid-senior", "Senior" ] } }, "minExperience": { "title": "Min years of experience", "minimum": 0, "type": "integer", "description": "Keep jobs whose required experience range reaches at least this many years. Needs the per-job page, so it automatically turns on 'Enrich details'." }, "maxExperience": { "title": "Max years of experience", "minimum": 0, "type": "integer", "description": "Keep jobs whose required experience range starts at or below this many years. Needs the per-job page, so it automatically turns on 'Enrich details'." }, "maxItems": { "title": "Max items", "minimum": 0, "type": "integer", "description": "Maximum number of job records to return in this run. Set 0 for unlimited (the full filtered feed).", "default": 200 }, "enrichDetails": { "title": "Enrich details", "type": "boolean", "description": "Fetch each job's public page to add the full description, posted date, required experience range, job function and employer website. Slower (one extra request per job).", "default": false }, "trackChanges": { "title": "Track changes", "type": "boolean", "description": "Compare this run against the previous snapshot stored under the Monitor key and flag every record as new, updated, unchanged or removed.", "default": false }, "monitorKey": { "title": "Monitor key", "type": "string", "description": "Name of the change-tracking snapshot (stored in the 'instahyre-job-snapshots' key-value store). Use a different key for each saved search you monitor.", "default": "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 }, "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 } } } } } } } } }}OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.
OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.
By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.
You can download the OpenAPI definitions for Instahyre Jobs Scraper from the options below:
If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.
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