# Djinni.co Jobs Scraper — UA Tech Vacancies | $1.5/1k (`skipper_lume/djinni-jobs-scraper`) Actor Scrape tech jobs from Djinni.co (and optionally Dou.ua): title, company, salary tier, remote, experience, English, locations, full JobPosting description. Filters by keyword/employment. Incremental new/delisted monitoring. Only dedicated Djinni scraper on Apify. - **URL**: https://apify.com/skipper\_lume/djinni-jobs-scraper.md - **Developed by:** [Maksym Horbachov](https://apify.com/skipper_lume) (community) - **Categories:** Jobs, Lead generation, Developer tools - **Stats:** 2 total users, 1 monthly users, 66.7% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.05 / 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 ## Djinni.co Jobs Scraper — UA Tech Vacancies | $1.5/1k Extract structured tech job data from **Djinni.co** — Ukraine's #1 IT job board for developers. Optional **Dou.ua** jobs in the same actor. Title, company, salary tier, remote, experience, English level, locations, and full JobPosting descriptions. > **$1.50 per 1,000 jobs** — the only dedicated Djinni.co scraper on Apify. ### Why This Actor? - **Only Djinni scraper** on Apify — recruiters and analysts searching Store find you - **Zero setup** — no API key, no login - **Fast & cheap** — pure HTTP + schema.org `JobPosting` JSON-LD (no browser) - **Dou.ua optional** — set `site: dou` or `both` - **Incremental monitoring** — `new` / `delisted` across scheduled runs (lead gen gold) - **Recruiting / lead gen** — categories JOBS + LEAD_GENERATION - **Agency-ready** — daily schedule + `onlyChanges` = only brand-new openings in your CRM ### Recruiting agency playbook 1. Pick 3–5 keywords you staff (`Python`, `React`, `DevOps`, `QA`, `Flutter`) 2. Create one Apify **Schedule per keyword** (daily 08:00 Kyiv) 3. Input: ```json { "mode": "search", "site": "djinni", "keyword": "Python", "employment": "remote", "maxResults": 100, "incremental": true, "stateKey": "agency-python-remote", "onlyChanges": true, "detectDelisted": true } ```` 4. Attach a **webhook** → your sheet / n8n / Make / Slack 5. Outreach only to `changeType: new` companies — warm leads, not stale boards Cost: cents/day at $1.50/1k. Optional `site: both` to also pull Dou.ua. ### What Data You Get | Field | Example | Description | |-------|---------|-------------| | `title` | Senior Python Developer | Role title | | `company` | Numerical Technologies | Hiring company | | `salaryTier` | $$$$ | Djinni dollar-tier | | `salaryMax` | 6000 | When explicitly shown (USD) | | `remote` | true | Remote-only signal | | `experienceYears` | 5 | Years of experience | | `englishLevel` | B2 | English requirement | | `category` | Python | Primary skill category | | `countries` | \["POL"] | Applicant location countries | | `datePosted` | ISO datetime | Posted date | | `description` | Full text | From JobPosting / detail | | `changeType` | new / delisted | Incremental mode | #### Sample Output ```json { "id": "833481", "url": "https://djinni.co/jobs/833481-senior-python-developer/", "title": "Senior Python Developer", "company": "Numerical Technologies", "category": "Python", "salaryTier": "$$$$", "remote": true, "experienceYears": 5, "englishLevel": "B2", "countries": ["POL"], "datePosted": "2026-07-10T18:07:46.790363", "source": "djinni" } ``` ### Use Cases | Who | What | |-----|------| | **Recruiters / agencies** | Daily new Python/React openings | | **Salary / market research** | Track tier mix and remote share | | **Founders** | Competitive hiring intel | | **Lead gen** | Companies actively hiring = warm outreach | ### Modes #### `search` ```json { "mode": "search", "site": "djinni", "keyword": "Python", "employment": "remote", "maxResults": 50 } ``` #### `url` ```json { "mode": "url", "startUrl": "https://djinni.co/jobs/?primary_keyword=React", "maxResults": 100 } ``` #### `jobs` — specific vacancies ```json { "mode": "jobs", "jobUrls": ["https://djinni.co/jobs/833481-senior-python-developer/"], "fetchDetails": true } ``` #### Dou.ua ```json { "mode": "search", "site": "dou", "keyword": "Python", "maxResults": 40 } ``` ### Incremental (lead gen) ```json { "mode": "search", "keyword": "Python", "incremental": true, "stateKey": "python-remote", "onlyChanges": true, "detectDelisted": true } ``` Schedule daily → only **new** openings hit your webhook. ### Pricing | Event | Price | |-------|------:| | Result | **$0.0015** ($1.50 / 1,000) | | Actor start | $0.00005 / GB | Default memory: **256 MB**. Typical 50-job run is cents. ### Tips - List pages already include JobPosting JSON-LD — keep `fetchDetails: false` for cheap bulk - Enable details when you need the full description for LLM matching - Pair with incremental + Apify Schedule for a recruiting radar # Actor input Schema ## `mode` (type: `string`): search: filters. url: paste jobs list URL. jobs: scrape specific vacancy URLs. ## `site` (type: `string`): Which job board to scrape: djinni (default), dou, or both. ## `keyword` (type: `string`): Djinni primary\_keyword (Python, React…) or Dou category name. ## `employment` (type: `string`): Djinni employment filter, e.g. remote. ## `region` (type: `string`): Optional Djinni region filter query value. ## `experience` (type: `string`): Optional Djinni exp query value. ## `search` (type: `string`): Free-text search on Dou.ua vacancies. ## `startUrl` (type: `string`): Jobs list URL from djinni.co or jobs.dou.ua. Used when mode=url. ## `jobUrls` (type: `array`): Specific vacancy URLs. Used when mode=jobs. ## `fetchDetails` (type: `boolean`): Visit each job page for full JobPosting description. ## `maxResults` (type: `integer`): Maximum number of jobs to return. ## `maxConcurrency` (type: `integer`): Parallel detail-page requests when fetchDetails is enabled. ## `incremental` (type: `boolean`): Detect new and delisted jobs across scheduled runs. ## `stateKey` (type: `string`): KV snapshot name for incremental mode. ## `onlyChanges` (type: `boolean`): When incremental is on, skip unchanged jobs. ## `detectDelisted` (type: `boolean`): When incremental is on, emit jobs that disappeared since last run. ## `proxyConfiguration` (type: `object`): Optional Apify Proxy. Usually not needed for Djinni/Dou. ## Actor input object example ```json { "mode": "search", "site": "djinni", "keyword": "Python", "startUrl": "https://djinni.co/jobs/?primary_keyword=Python", "fetchDetails": false, "maxResults": 50, "maxConcurrency": 4, "incremental": false, "stateKey": "default", "onlyChanges": false, "detectDelisted": true } ``` # Actor output Schema ## `jobs` (type: `string`): No description # 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", "startUrl": "https://djinni.co/jobs/?primary_keyword=Python" }; // Run the Actor and wait for it to finish const run = await client.actor("skipper_lume/djinni-jobs-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 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); }); // 📚 Want to learn more 📖? Go to → 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", "startUrl": "https://djinni.co/jobs/?primary_keyword=Python", } # Run the Actor and wait for it to finish run = client.actor("skipper_lume/djinni-jobs-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "keyword": "Python", "startUrl": "https://djinni.co/jobs/?primary_keyword=Python" }' | apify call skipper_lume/djinni-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=skipper_lume/djinni-jobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Djinni.co Jobs Scraper — UA Tech Vacancies | $1.5/1k", "description": "Scrape tech jobs from Djinni.co (and optionally Dou.ua): title, company, salary tier, remote, experience, English, locations, full JobPosting description. Filters by keyword/employment. Incremental new/delisted monitoring. Only dedicated Djinni scraper on Apify.", "version": "1.0", "x-build-id": "ESGiQX91TyZQQVXXv" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/skipper_lume~djinni-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-skipper_lume-djinni-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/skipper_lume~djinni-jobs-scraper/runs": { "post": { "operationId": "runs-sync-skipper_lume-djinni-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/skipper_lume~djinni-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-skipper_lume-djinni-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": { "mode": { "title": "Mode", "enum": [ "search", "url", "jobs" ], "type": "string", "description": "search: filters. url: paste jobs list URL. jobs: scrape specific vacancy URLs.", "default": "search" }, "site": { "title": "Site", "enum": [ "djinni", "dou", "both" ], "type": "string", "description": "Which job board to scrape: djinni (default), dou, or both.", "default": "djinni" }, "keyword": { "title": "Keyword / category", "type": "string", "description": "Djinni primary_keyword (Python, React…) or Dou category name." }, "employment": { "title": "Employment (Djinni)", "type": "string", "description": "Djinni employment filter, e.g. remote." }, "region": { "title": "Region (Djinni)", "type": "string", "description": "Optional Djinni region filter query value." }, "experience": { "title": "Experience filter (Djinni)", "type": "string", "description": "Optional Djinni exp query value." }, "search": { "title": "Dou search text", "type": "string", "description": "Free-text search on Dou.ua vacancies." }, "startUrl": { "title": "Start URL", "type": "string", "description": "Jobs list URL from djinni.co or jobs.dou.ua. Used when mode=url." }, "jobUrls": { "title": "Job URLs", "type": "array", "description": "Specific vacancy URLs. Used when mode=jobs.", "items": { "type": "string" } }, "fetchDetails": { "title": "Fetch detail pages", "type": "boolean", "description": "Visit each job page for full JobPosting description.", "default": false }, "maxResults": { "title": "Max results", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum number of jobs to return.", "default": 50 }, "maxConcurrency": { "title": "Max concurrency", "minimum": 1, "maximum": 10, "type": "integer", "description": "Parallel detail-page requests when fetchDetails is enabled.", "default": 4 }, "incremental": { "title": "Incremental monitoring", "type": "boolean", "description": "Detect new and delisted jobs across scheduled runs.", "default": false }, "stateKey": { "title": "State key", "type": "string", "description": "KV snapshot name for incremental mode.", "default": "default" }, "onlyChanges": { "title": "Only changes", "type": "boolean", "description": "When incremental is on, skip unchanged jobs.", "default": false }, "detectDelisted": { "title": "Detect delisted", "type": "boolean", "description": "When incremental is on, emit jobs that disappeared since last run.", "default": true }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Optional Apify Proxy. Usually not needed for Djinni/Dou." } } }, "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 } } } } } } } } } } ```