We extract job postings, department structures, location data, and hiring trends from iCIMS career portals. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Job Postings objects from icims.com. All fields typed and schema-versioned.
"req_id": "2023-14892", "title": "Senior Infrastructure Engineer", "department": "Engineering", "location": "Bengaluru, Karnataka", "employment_type": "Full-Time", "posted_date": "2023-10-14T08:30:00Z", "apply_url": "https://careers-example.icims.com/jobs/14892/apply"
| # | req_id | title | department | location | employment_type | posted_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Company & Portal objects from icims.com. All fields typed and schema-versioned.
"portal_url": "https://careers-example.icims.com", "company_name": "Example Corp", "industry": "Enterprise Software", "active_jobs": 342, "portal_type": "External Career Site", "branding_assets": "https://example.com/logo.png"
| # | portal_url | company_name | industry | employee_count | active_jobs | portal_type |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Location Data objects from icims.com. All fields typed and schema-versioned.
"location_id": "LOC-882", "city": "London", "country": "United Kingdom", "remote_eligible": true, "hybrid_status": "3 days onsite", "office_name": "London HQ"
| # | location_id | city | state | country | remote_eligible | hybrid_status |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Compensation objects from icims.com. All fields typed and schema-versioned.
"salary_min": 85000, "salary_max": 120000, "currency": "GBP", "pay_period": "Annual", "bonus_eligible": true, "equity_offered": false
| # | salary_min | salary_max | currency | pay_period | benefits_list | equity_offered |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Requirements objects from icims.com. All fields typed and schema-versioned.
"experience_level": "Mid-Senior level", "education_level": "Bachelor's Degree", "visa_sponsorship": false, "background_check": true, "travel_percentage": "10%", "internal_only": false
| # | experience_level | education_level | certifications | visa_sponsorship | background_check | assessment_required |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our iCIMS scraper handles the complexities of enterprise ATS deployments: nested iframes, dynamic AJAX pagination, tenant-specific schemas, and rate limits. We deliver normalised job data across disparate corporate portals.
Scrape jobs across thousands of distinct iCIMS customer portals simultaneously, merging disparate schemas into a single normalised dataset.
Navigate infinite scrolls and dynamic AJAX load-more buttons to capture the complete job catalogue for any given company.
Extract core job descriptions and requirements embedded within complex cross-domain iframes used by iCIMS career pages.
Parse and standardise messy location strings into structured city, state, country, and remote-eligibility fields.
Extract posted salary ranges, hourly rates, and compensation bands where mandated by state or local pay transparency laws.
Capture internal Req IDs to track job lifecycle, time-to-fill metrics, and reposting behaviour across enterprise hiring cycles.
Identify new listings, closed roles, and modified descriptions via hash diffing, delivering only net-new or updated records per run.
Support for multi-language iCIMS portals and international location structures across EMEA, APAC, and North America.
Configure pipelines to poll high-priority enterprise portals hourly for near real-time job availability signals.
Brief in. Clean data out.
Provide target company lists, iCIMS portal URLs, or specific industry criteria. We map the extraction schema.
We configure Scrapy and Playwright crawlers, proxy rotation, and iframe traversal logic for the target iCIMS portals.
Schema validation, null-rate checks, and location standardisation tests before full production launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Enterprise ATS platforms present unique extraction challenges. Here is how we maintain reliable data flow across thousands of custom corporate portals.
Many companies embed their iCIMS portals within corporate site iframes. Our crawlers automatically detect, isolate, and traverse these cross-domain iframes to extract the raw job data without triggering CORS errors or missing content.
iCIMS portals rely heavily on client-side rendering and AJAX for pagination. We use Playwright to intercept XHR requests and manage browser state, ensuring we capture every listing rather than just the first ten jobs.
Every enterprise configures their iCIMS instance differently. We map custom department taxonomies, bespoke location formats, and proprietary metadata fields into a single, queryable schema across all tracked companies.
iCIMS enforces rate limits per tenant portal. Our orchestration layer dynamically adjusts request concurrency and proxy rotation based on HTTP 429 responses, ensuring high throughput without pipeline failure.
Job search APIs on iCIMS often require session tokens generated on initial page load. We manage cookie jars and token lifecycles automatically, refreshing sessions before they expire during deep pagination runs.
Economic research firms track job volume, remote work trends, and salary bands across enterprise employers.
Corporate strategy teams monitor competitor hiring velocity and department expansion to predict strategic moves.
Niche job boards and recruitment marketplaces backfill their platforms with structured listings from enterprise ATS portals.
B2B sales teams track specific role openings to identify companies investing in new technologies or expanding departments.
Talent intelligence platforms ingest iCIMS data to power candidate matching algorithms and market mapping tools.
Compensation analysts aggregate pay transparency data to build real-time salary distribution models by region and role.
"iCIMS powers the hiring infrastructure for thousands of enterprises, but aggregating that data requires navigating thousands of distinct, heavily-scripted portal configurations."
Most teams underestimate the investment required: reliable iCIMS scraping requires handling nested iframes, dynamic AJAX pagination, and tenant-specific schema variations. DataFlirt absorbs that complexity so your engineers can focus on the analysis, not the infrastructure. We deliver clean, normalised job records directly to your warehouse.
Everything supported by our icims.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy handles crawl orchestration, deduplication, and retry logic. Playwright handles JavaScript rendering, iframe traversal, and AJAX interception.
We maintain pools of residential ISP proxies to bypass WAF protections and tenant-specific rate limits, ensuring high extraction throughput.
Pipelines run on Kubernetes and AWS Lambda. Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About icims.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available job postings from external career portals is generally permissible under applicable law. DataFlirt targets only public, non-authenticated job data. We do not extract personal candidate data, circumvent authentication walls, or access internal HR systems.
While every enterprise customises their iCIMS instance, the underlying data structures share common patterns. We map custom fields, bespoke location formats, and unique department taxonomies into a unified, normalised schema for your pipeline.
Yes. By tracking Requisition IDs and polling the portals at a set cadence, we identify when a listing is removed from the active site, providing accurate time-to-fill and job closure metrics.
Pipelines can be configured for daily, weekly, or hourly runs depending on your requirements. High-frequency polling on specific enterprise portals achieves near real-time visibility into new job postings.
Yes. Where companies post salary ranges, hourly rates, or compensation bands in the job description or metadata fields, our parsers extract and normalise this data into structured currency and range fields.
Our minimum engagements typically start at tracking 100+ enterprise portals with daily delivery. For larger aggregations or custom normalisation logic, we price based on portal volume and delivery frequency.
Yes. We provide a sample run of up to 20 iCIMS portals as part of the scoping process, allowing you to validate schema fit, field completeness, and data quality before signing a contract.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need to track 50 competitors or aggregate jobs across 5,000 enterprise portals, we scope, build, and operate the infrastructure. Tell us your target list.
