We extract job listings, company data, location tags, and market signals from Jobrapido. 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 Listings objects from jobrapido.com. All fields typed and schema-versioned.
"job_id": "jr_9841274", "title": "Senior Backend Engineer", "company_name": "TechCorp Ltd", "location": "London, UK", "date_posted": "2026-10-12", "remote_flag": true, "contract_type": "Permanent"
| # | job_id | title | company_name | location | date_posted | description_snippet |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Company Data objects from jobrapido.com. All fields typed and schema-versioned.
"company_name": "TechCorp Ltd", "job_count": 142, "primary_industry": "Software Development", "locations_active": "['London', 'Manchester', 'Remote']", "hiring_velocity": "High", "scraped_at": "2026-10-14T08:12:00Z"
| # | company_name | job_count | primary_industry | locations_active | top_titles | hiring_velocity |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Location & Market objects from jobrapido.com. All fields typed and schema-versioned.
"country": "UK", "region": "Greater London", "city": "London", "total_active_jobs": 48291, "remote_percentage": 24.5, "scrape_date": "2026-10-14"
| # | country | region | city | total_active_jobs | top_hiring_companies | top_roles |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Search Results objects from jobrapido.com. All fields typed and schema-versioned.
"keyword": "data engineer", "location_query": "Berlin", "position": 3, "job_id": "jr_8812341", "sponsored_flag": false, "timestamp": "2026-10-14T08:15:22Z"
| # | keyword | location_query | position | job_id | title | company |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Outbound Links objects from jobrapido.com. All fields typed and schema-versioned.
"job_id": "jr_9841274", "jobrapido_url": "https://uk.jobrapido.com/job/...", "final_destination_url": "https://careers.techcorp.com/job/123", "source_domain": "careers.techcorp.com", "status_code": 200, "is_active": true
| # | job_id | jobrapido_url | final_destination_url | redirect_chain | source_domain | status_code |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Jobrapido scraper handles the complexities of aggregator platforms: dynamic pagination, multi-region routing, redirect resolution, and deduplication logic.
Extract titles, companies, locations, posting dates, and description snippets across millions of active job postings.
Follow Jobrapido redirect links to capture the final destination URL and source domain for every job posting.
Scrape jobrapido.co.uk, jobrapido.com, jobrapido.it, and all other regional variants using a unified schema.
Query specific keywords, locations, and distance radiuses to build targeted market datasets.
Clean and normalise company names to track hiring volume and velocity accurately across different postings.
Aggregators host duplicate listings. Our pipeline hashes core fields to deliver unique roles and discard spam.
Monitor the job market in near real-time with daily or hourly pipelines tracking new postings and removals.
Extract and structure city, region, and country data, including explicit remote work flags.
Receive only new or modified job postings since the last run, reducing downstream processing load.
Brief in. Clean data out.
Provide target regions, keywords, or company lists. We design the extraction schema together.
We configure Scrapy crawlers, proxy rotation, session management, and redirect resolution for Jobrapido.
Schema validation, null-rate checks, deduplication testing, and sample data review before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Job aggregators present unique challenges: high volume, duplicate listings, and complex redirect chains. Here is how we build resilient pipelines.
Jobrapido uses tracking links that redirect to external applicant tracking systems. We safely resolve these redirects using headless browsers to capture the true source URL without triggering bot mitigation on the destination site.
Aggregator search results often feature infinite scroll or deceptive pagination. Our crawlers map the pagination structure and terminate accurately when results degrade in relevance or loop.
Job titles and company names on aggregators are notoriously messy. We apply normalisation rules to group variations of the same company and standardise location strings.
Accessing jobrapido.de from a US IP address often forces redirects or alters search results. We route requests through residential proxies matching the target region to ensure accurate local data.
We hash job titles, companies, and locations to identify and drop duplicate listings posted by different recruitment agencies for the same underlying role.
Economists and research firms track hiring volume, remote work trends, and regional demand across specific industries.
Enterprise strategy teams monitor competitor hiring velocity and role types to infer product roadmaps and expansion plans.
Sales teams target companies actively hiring for specific roles, using job postings as intent signals for software or services.
Recruitment marketing platforms analyse aggregator inventory and pricing signals to optimise their own ad spend.
HR platforms extract posted salary ranges to build compensation models and advise clients on market rates.
Private equity firms evaluate target company health by analysing historical hiring trends and headcount growth signals.
"Jobrapido aggregates millions of global roles, but turning their search index into a queryable market map requires resolving complex redirect chains and normalising high-velocity data."
Most data teams underestimate the investment required to scrape job aggregators: reliable Jobrapido extraction requires handling infinite pagination, resolving outbound redirects without triggering bot traps, and daily deduplication. DataFlirt absorbs that complexity so your engineers can focus on the analysis, not the infrastructure.
Everything supported by our jobrapido.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, cookie sessions, and interaction flows. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies across global regions. Rotation happens per-request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.
Pipelines run on AWS Lambda (burst) and ECS (sustained). 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 jobrapido.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available job postings is generally permissible under applicable laws in the US, UK, and EU. DataFlirt targets only public, non-authenticated job data. We do not extract personal candidate data or circumvent authentication walls. Clients should review terms of service and consult legal counsel for specific use cases.
We use headless browsers to follow Jobrapido's outbound tracking links, capturing the final destination URL and source domain. This allows you to map aggregator listings back to the original employer or ATS without manual clicking.
We support all regional variants including jobrapido.co.uk, jobrapido.com, jobrapido.de, jobrapido.it, and jobrapido.fr. Our geo-routing infrastructure ensures we access these domains from local IP addresses for accurate results.
Pipelines can be configured for daily or hourly refreshes depending on your requirements. Change detection diffs ensure you only process new or modified listings.
Yes. Aggregators often host the same job posted by different recruitment agencies. We apply hash-based deduplication logic across titles, companies, and locations to provide a clean dataset of unique roles.
Our smallest packages start at a defined keyword or location set with weekly delivery. For global tracking or custom schema requirements, we price based on volume and delivery frequency. Contact us with your use case for a scoped quote.
Absolutely. We provide a sample run of up to 500 job listings for your target keywords or regions as part of the pre-engagement scoping process, allowing you to validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a targeted list of regional roles or a continuous global hiring feed - we scope, build, and operate the pipeline. Tell us what you need.
