Indeed Jobs Scraper | Remove Duplicate Jobs
Pricing
Pay per event
The Indeed job scraper allows you to collect jobs by entering keyword-based search queries.
Pricing
Pay per event
Rating
1.4
(2)
Developer
cheap_scraper
Maintained by CommunityActor stats
16
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436
Monthly active users
0.017 hours
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3 months ago
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You can access the Indeed Jobs Scraper | Remove Duplicate Jobs 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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JSON field name: `keywords`", "items": { "type": "string" } }, "country": { "title": "Country", "enum": [ "United States", "Angola", "Argentina", "Australia", "Austria", "Bahrain", "Belgium", "Brazil", "Canada", "Chile", "China", "Colombia", "Costa Rica", "Czech Republic", "Denmark", "Ecuador", "Egypt", "Finland", "France", "Germany", "Greece", "Hong Kong", "Hungary", "India", "Indonesia", "Ireland", "Italy", "Japan", "Kuwait", "Luxembourg", "Mexico", "Morocco", "Netherlands", "New Zealand", "Nigeria", "Norway", "Oman", "Pakistan", "Panama", "Peru", "Philippines", "Poland", "Portugal", "Romania", "Saudi Arabia", "Singapore", "South Africa", "South Korea", "Spain", "Sweden", "Switzerland", "Taiwan", "Thailand", "Turkey", "Ukraine", "United Arab Emirates", "United Kingdom", "Uruguay", "Venezuela", "Vietnam" ], "type": "string", "description": "Select country (default is United States) Enhance accuracy by selecting the associated country. Data is drawn directly from country-specific indeed.com platforms, ensuring relevant outcomes for your location. JSON field name: `country`" }, "location": { "title": "Location", "type": "string", "description": "Location to search for jobs (e.g., 'San Francisco, CA', 'Montreal, QC', 'New York, NY'). JSON field name: `location`" }, "datePosted": { "title": "Date Posted", "enum": [ "", "1", "3", "7", "14", "30" ], "type": "string", "description": "Filter jobs by date posted. JSON field name: `datePosted`" }, "radius": { "title": "Search Radius (miles)", "enum": [ "", "10", "20", "30", "50", "100", "200" ], "type": "string", "description": "The search radius in miles. JSON field name: `radius`" }, "jobType": { "title": "Job Type", "enum": [ "", "FULL_TIME", "PERMANENT", "PART_TIME", "CONTRACT", "FIXED_TERM_CONTRACT", "INTERNSHIP" ], "type": "string", "description": "Filter jobs by job type. JSON field name: `jobType`" }, "jobLevel": { "title": "Job Level", "enum": [ "", "ENTRY_LEVEL", "MID_LEVEL", "SENIOR_LEVEL" ], "type": "string", "description": "Filter jobs by experience level. JSON field name: `jobLevel`" }, "remoteWorkType": { "title": "Remote Work Type", "enum": [ "", "REMOTE", "HYBRID" ], "type": "string", "description": "Filter jobs by remote work type. JSON field name: `remoteWorkType`" }, "saveOnlyUniqueItems": { "title": "Save Only Unique Items", "type": "boolean", "description": "If enabled, only unique items will be saved. Default is false. JSON field name: `saveOnlyUniqueItems`", "default": false }, "deepSearch": { "title": "Deep Search", "type": "boolean", "description": "If enabled, the scraper will perform a deep search to find more job listings based on related keywords from your initial keyword. Ideal for searches expecting more than 400 results. Default is false. JSON field name: `deepSearch`", "default": false }, "maxItems": { "title": "Maximum Items", "type": "integer", "description": "Maximum number of items to scrape. Default is none, it will scrape all the jobs it finds. JSON field name: `maxItems`" }, "includeNoSalaryJob": { "title": "Include No Salary Job", "type": "boolean", "description": "Include jobs with no salary. Default is true. JSON field name `includeNoSalaryJob`", "default": true }, "resumeKeywords": { "title": "🎯 Profile Match — Your Resume / CV Skills", "type": "array", "description": "⚠️ **This is NOT a search filter** — it does not change which jobs Indeed returns to you.\n\nThis is a **profile matching tool** for smarter job hunting. Paste the skills from your resume/CV here, and the scraper will automatically score every job description against your profile. Instead of reading through dozens of postings, you instantly see which jobs you're actually qualified for — and can skip the rest entirely.\n\nEach entry has a required `keyword` and an optional `aliases` array for abbreviations or alternate names (e.g. `JavaScript` → `JS`, `Kubernetes` → `K8s`).\n\n**Format:** `[{\"keyword\": \"JavaScript\", \"aliases\": [\"JS\"]}, {\"keyword\": \"Python\"}]`\n\nWhen provided, each job in the output will include three extra fields:\n- `matchedKeywords` — which of your skills were found in the job description\n- `unmatchedKeywords` — which of your skills were NOT found\n- `keywordMatchScorePercentage` — percentage of your skills found (0–100). Example: 3 out of 5 matched = **60**\n\n🤖 **Let an AI extract skills from your resume automatically (outputs JSON ready to paste here):**\n- [Open ChatGPT with prompt](https://chatgpt.com/?q=Extract+skills+and+keywords+from+my+CV+for+job+matching.+Add+common+abbreviations+as+aliases.+Output+ONLY+a+raw+JSON+array+with+no+explanation+or+markdown%2C+using+this+format%3A+%5B%7B%22keyword%22%3A%22JavaScript%22%2C%22aliases%22%3A%5B%22JS%22%5D%7D%2C%7B%22keyword%22%3A%22Python%22%7D%5D.+I+will+paste+my+CV+after+this+message.) *(no login needed)*\n- [Open Claude with prompt](https://claude.ai/new?q=Extract+skills+and+keywords+from+my+CV+for+job+matching.+Add+common+abbreviations+as+aliases.+Output+ONLY+a+raw+JSON+array+with+no+explanation+or+markdown%2C+using+this+format%3A+%5B%7B%22keyword%22%3A%22JavaScript%22%2C%22aliases%22%3A%5B%22JS%22%5D%7D%2C%7B%22keyword%22%3A%22Python%22%7D%5D.+I+will+paste+my+CV+after+this+message.) *(login required)*" } } }, "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 } } } } } } } } }}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. 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