# Flexjobs Jobs Search Scraper (`stealth_mode/flexjobs-jobs-search-scraper`) Actor Scrape FlexJobs.com job search results and collect 50+ data fields per listing — including salary, remote options, schedules, locations, and company info. Perfect for job market analysts, recruiters, and career platform developers. - **URL**: https://apify.com/stealth\_mode/flexjobs-jobs-search-scraper.md - **Developed by:** [Stealth mode](https://apify.com/stealth_mode) (community) - **Categories:** Automation, Developer tools, Jobs - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.50 / 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 ## FlexJobs Search Scraper: Extract Remote Job Listings at Scale --- ### What Is FlexJobs.com? FlexJobs is a curated job board specializing in remote, flexible, freelance, and part-time positions. Unlike general job boards, every listing is manually vetted, making its data particularly valuable for research and recruitment. The **FlexJobs Search Scraper** automates bulk extraction from search result pages, turning paginated listings into structured datasets without manual browsing. --- ### Overview The **FlexJobs Jobs Search Scraper** collects job listings from FlexJobs search and category pages, supporting pagination via URL parameters. It is designed for: - **Recruiters & HR teams** monitoring remote job market trends - **Salary researchers** benchmarking compensation across roles and regions - **Job aggregator developers** feeding flexible-work data into custom platforms - **Career coaches & analysts** tracking in-demand skills and job categories --- ### Input Format ```json { "urls": [ "https://www.flexjobs.com/remote-jobs/account-management?page=2" ], "ignore_url_failures": true, "max_items_per_url": 50 } ```` | Field | Type | Description | |---|---|---| | `urls` | `array` | One or more FlexJobs search/category page URLs. Supports pagination via `?page=N`. Add URLs one by one or use bulk edit. | | `max_items_per_url` | `integer` | Maximum records collected per URL. Default: `20`. Set higher (e.g., `50`) for larger result sets. | | `ignore_url_failures` | `boolean` | If `true`, skips failed URLs and continues the run instead of stopping. Recommended for bulk jobs. | > **Tip:** To paginate across multiple pages, add each page URL explicitly (e.g., `?page=1`, `?page=2`, ...) or use a URL list for categories you want to monitor regularly. *** ### Output Format **Sample output** ```json { "id": "9813aa64-9f17-4e41-8898-ccd530b16dc5", "title": "Project Manager II - Data Centers", "description": "Oversee the successful delivery of automation projects, manage project scope and budget, communicate client status, and coordinate project team efforts to ensure client satisfaction and financial accuracy.", "job_summary": "Oversee the successful delivery of automation projects, manage project scope and budget, communicate client status, and coordinate project team efforts to ensure client satisfaction and financial accuracy.", "ats": null, "posted_date": "2026-05-15T19:08:00Z", "job_locations": [ "US National" ], "locations": null, "allowed_candidate_location": [ "US National" ], "remote_options": [ "100% Remote Work" ], "job_schedules": [ "Full-Time" ], "job_types": [ "Employee" ], "featured": false, "company": null, "saved": false, "viewed": false, "applied_date": null, "viewed_date": null, "saved_date": null, "slug": "project-manager-ii-data-centers-9813aa64-9f17-4e41-8898-ccd530b16dc5", "created_on": "2026-05-15T19:08:00Z", "expire_on": "2026-07-09T00:00:00Z", "salary_range": "", "apply_job_status": "None", "job_benefits": [ "Flexible/Unlimited PTO", "401k Matching/Retirement Savings", "Paid Vacation", "Professional/Career Development" ], "categories": [ { "category_i_d": 0, "parent_category_i_d": null, "name": "Client Services", "slug": "online-client-services", "description": null, "img_src": null }, { "category_i_d": 0, "parent_category_i_d": null, "name": "Accounting & Finance", "slug": "accounting", "description": null, "img_src": "streamline-icon-saving-bag-increase.svg" }, { "category_i_d": 0, "parent_category_i_d": null, "name": "Communications", "slug": "communications", "description": null, "img_src": "streamline-icon-conversation-browser.svg" }, { "category_i_d": 0, "parent_category_i_d": null, "name": "Engineering", "slug": "engineering", "description": null, "img_src": "streamline-icon-tools-wench-screwdriver.svg" }, { "category_i_d": 0, "parent_category_i_d": null, "name": "Operations", "slug": "operations", "description": null, "img_src": "streamline-icon-task-list-settings.svg" }, { "category_i_d": 0, "parent_category_i_d": null, "name": "Project Management", "slug": "project-management", "description": null, "img_src": "streamline-icon-time-clock-file-setting.svg" } ], "job_categories": [ { "category_i_d": 85, "parent_category_i_d": 52, "name": "Client Services", "slug": "online-client-services", "description": null, "img_src": "52.svg" }, { "category_i_d": 1, "parent_category_i_d": null, "name": "Accounting & Finance", "slug": "accounting", "description": null, "img_src": "1.svg" }, { "category_i_d": 10, "parent_category_i_d": null, "name": "Communications", "slug": "communications", "description": null, "img_src": "10.svg" }, { "category_i_d": 18, "parent_category_i_d": null, "name": "Engineering", "slug": "engineering", "description": null, "img_src": "18.svg" }, { "category_i_d": 133, "parent_category_i_d": null, "name": "Operations", "slug": "operations", "description": null, "img_src": "133.svg" }, { "category_i_d": 39, "parent_category_i_d": null, "name": "Project Management", "slug": "project-management", "description": null, "img_src": "39.svg" } ], "accolades": [], "career_level": [ "Manager" ], "travel_required": "No specification", "region_id": null, "states": [], "countries": [], "cities": [], "is_flexible_schedule": false, "is_telecommute": false, "is_freelancing_contract": false, "hosted": false, "match_id": null, "score": 51, "eligible_for_expert_apply": false, "is_free_job": false, "track_properties": {}, "postal_code": null, "apply_url": null, "coordinates": null, "salary_min": 0, "salary_max": 0, "salary_unit": null, "salary_currency": null, "education_levels": [ "Bachelor's/Undergraduate Degree", "BS" ], "gjw_url": null } ``` Each job listing returns a rich record with 50+ fields, grouped below by category. #### Identification & Routing | Field | Meaning | |---|---| | `ID` | Unique internal FlexJobs identifier for the listing | | `Slug` | URL-friendly job title string | | `Apply URL` | Direct application link | | `GJW URL` | Google Jobs Widget URL for cross-platform indexing | | `ATS` | Applicant Tracking System used by the employer | | `Hosted` | Whether the application is hosted on FlexJobs or externally | | `Match ID` | Internal matching record ID | | `Score` | Relevance score assigned by FlexJobs' matching algorithm | #### Job Details | Field | Meaning | |---|---| | `Title` | Full job title | | `Description` | Complete job description (may be HTML) | | `Job Summary` | Short summary shown in search results | | `Career Level` | Seniority level (e.g., Entry, Mid, Senior) | | `Education Levels` | Required education (e.g., Bachelor's, High School) | | `Travel Required` | Whether travel is expected for the role | | `Categories` | Top-level job categories | | `Job Categories` | Granular sub-categories | #### Schedule & Work Arrangement | Field | Meaning | |---|---| | `Job Schedules` | Work schedule types (e.g., Full-Time, Part-Time) | | `Job Types` | Employment types (e.g., Permanent, Freelance) | | `Remote Options` | Remote work level (e.g., 100% Remote, Hybrid) | | `Is Flexible Schedule` | Boolean flag for flexible scheduling | | `Is Telecommute` | Boolean flag for telecommute eligibility | | `Is Freelancing Contract` | Boolean flag for contract/freelance roles | #### Location | Field | Meaning | |---|---| | `Job Locations` | Raw location string from the listing | | `Locations` | Parsed location objects | | `Allowed Candidate Location` | Geographic restrictions on applicants | | `Region ID` | Internal region identifier | | `States` | Eligible US states | | `Countries` | Eligible countries | | `Cities` | Specific cities mentioned | | `Postal Code` | ZIP/postal code if specified | | `Coordinates` | Lat/long for mapping | #### Salary & Compensation | Field | Meaning | |---|---| | `Salary Range` | Human-readable range (e.g., "$60,000 - $80,000") | | `Salary Min` | Minimum salary (numeric) | | `Salary Max` | Maximum salary (numeric) | | `Salary Unit` | Pay period (e.g., `year`, `hour`) | | `Salary Currency` | Currency code (e.g., `USD`) | | `Job Benefits` | Listed benefits (health, 401k, PTO, etc.) | #### Company | Field | Meaning | |---|---| | `Company` | Employer name and metadata object | | `Accolades` | FlexJobs employer awards or certifications | | `Featured` | Whether the listing is a featured/sponsored post | #### Dates & Status | Field | Meaning | |---|---| | `Posted Date` | When the job was published | | `Created On` | Internal record creation timestamp | | `Expire On` | Listing expiration date | | `Apply Job Status` | Application status if tracked | | `Applied Date` | Date the user applied (if authenticated session) | | `Viewed Date` | Date the listing was viewed | | `Saved Date` | Date the listing was saved | | `Saved` | Boolean: whether listing is bookmarked | | `Viewed` | Boolean: whether listing has been viewed | #### Matching & Flags | Field | Meaning | |---|---| | `Eligible For Expert Apply` | Whether one-click Expert Apply is available | | `Is Free Job` | Whether the listing is accessible without a paid subscription | | `Track Properties` | Analytics/tracking metadata | *** ### How to Use 1. **Get search URLs** — Navigate to FlexJobs, filter by category, remote type, or keyword, then copy the results page URL (including pagination parameters). 2. **Configure input** — Paste URLs into the `urls` array. Set `max_items_per_url` to match your target volume. 3. **Run the scraper** — Launch the actor and monitor logs. 4. **Export** — Download results as JSON, CSV, or Excel. **Best practices:** - Use `?page=N` to iterate through paginated results across multiple URLs. - Set `ignore_url_failures: true` for uninterrupted bulk collection. - If a URL returns empty results, verify it loads correctly in a browser first — some category pages may require a logged-in session. *** ### Use Cases & Business Value - **Remote work market research:** Analyze which industries are hiring remotely and at what salary bands - **Job aggregator pipelines:** Automate data ingestion for flexible-work focused job boards - **Compensation benchmarking:** Extract salary min/max across job categories and regions - **Trend tracking:** Monitor how listings change week-over-week by re-running on the same category URLs *** ### Conclusion The **FlexJobs Search Scraper** delivers one of the most comprehensive remote job datasets available, with 50+ fields per listing covering everything from salary and schedule to location eligibility and employer accolades. Whether you're building a product or conducting research, it eliminates manual collection entirely. # Actor input Schema ## `urls` (type: `array`): Add the URLs of the Jobs list urls you want to scrape. You can paste URLs one by one, or use the Bulk edit section to add a prepared list. ## `ignore_url_failures` (type: `boolean`): If true, the scraper will continue running even if some URLs fail to be scraped. ## `max_items_per_url` (type: `integer`): The maximum number of items to scrape per URL. ## Actor input object example ```json { "urls": [ "https://www.flexjobs.com/remote-jobs/account-management?page=2" ], "ignore_url_failures": true, "max_items_per_url": 20 } ``` # 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 = { "urls": [ "https://www.flexjobs.com/remote-jobs/account-management?page=2" ], "ignore_url_failures": true, "max_items_per_url": 20 }; // Run the Actor and wait for it to finish const run = await client.actor("stealth_mode/flexjobs-jobs-search-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 = { "urls": ["https://www.flexjobs.com/remote-jobs/account-management?page=2"], "ignore_url_failures": True, "max_items_per_url": 20, } # Run the Actor and wait for it to finish run = client.actor("stealth_mode/flexjobs-jobs-search-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 '{ "urls": [ "https://www.flexjobs.com/remote-jobs/account-management?page=2" ], "ignore_url_failures": true, "max_items_per_url": 20 }' | apify call stealth_mode/flexjobs-jobs-search-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=stealth_mode/flexjobs-jobs-search-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Flexjobs Jobs Search Scraper", "description": "Scrape FlexJobs.com job search results and collect 50+ data fields per listing — including salary, remote options, schedules, locations, and company info. Perfect for job market analysts, recruiters, and career platform developers.", "version": "0.0", "x-build-id": "PySKA8u8Wsir1pQ3u" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/stealth_mode~flexjobs-jobs-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-stealth_mode-flexjobs-jobs-search-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/stealth_mode~flexjobs-jobs-search-scraper/runs": { "post": { "operationId": "runs-sync-stealth_mode-flexjobs-jobs-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/stealth_mode~flexjobs-jobs-search-scraper/run-sync": { "post": { "operationId": "run-sync-stealth_mode-flexjobs-jobs-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "urls": { "title": "URLs of the Jobs list urls to scrape", "type": "array", "description": "Add the URLs of the Jobs list urls you want to scrape. You can paste URLs one by one, or use the Bulk edit section to add a prepared list.", "items": { "type": "string" } }, "ignore_url_failures": { "title": "Continue running even if some URLs fail to be scraped", "type": "boolean", "description": "If true, the scraper will continue running even if some URLs fail to be scraped." }, "max_items_per_url": { "title": "Max items per URL", "type": "integer", "description": "The maximum number of items to scrape per URL." } } }, "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 } } } } } } } } } } ```