We extract job postings, salary bands, contract types, agency details, and course listings from reed.co.uk. 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 reed.co.uk. All fields typed and schema-versioned.
"job_id": "51239482", "title": "Senior Python Developer", "employer_name": "TechCorp Ltd", "location": "London (Hybrid)", "salary_min": 75000, "salary_max": 90000, "contract_type": "Permanent", "posted_date": "2026-05-10"
| # | job_id | title | employer_name | employer_type | location | salary_min |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Employer Profiles objects from reed.co.uk. All fields typed and schema-versioned.
"employer_id": "EMP9921", "name": "TechCorp Ltd", "industry": "IT & Telecoms", "active_jobs_count": 14, "average_salary": 65000, "rating": 4.2, "review_count": 128, "headquarters": "London"
| # | employer_id | name | logo_url | industry | company_size | website |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Reed Courses objects from reed.co.uk. All fields typed and schema-versioned.
"course_id": "C88321", "title": "AWS Certified Solutions Architect", "provider_name": "Cloud Academy", "price": 199.0, "study_method": "Online", "duration": "Self-paced", "cpd_points": 20, "discount_pct": 15
| # | course_id | title | provider_name | price | original_price | discount_pct |
|---|---|---|---|---|---|---|
| 1 | ||||||
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| 3 |
Complete list of extractable fields for Salary Insights objects from reed.co.uk. All fields typed and schema-versioned.
"job_title": "Python Developer", "region": "London", "average_salary": 72500, "lowest_salary": 45000, "highest_salary": 110000, "sample_size": 1240, "currency": "GBP", "data_timestamp": "2026-05-12T00:00:00Z"
| # | job_title | region | average_salary | lowest_salary | highest_salary | sample_size |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Search Results objects from reed.co.uk. All fields typed and schema-versioned.
"keyword": "Data Engineer", "location_query": "Manchester", "position": 3, "job_id": "51239999", "is_promoted": true, "is_easy_apply": false, "salary_text": "£50,000 to £65,000 per annum", "scraped_at": "2026-05-12T10:15:00Z"
| # | keyword | location_query | page_number | position | job_id | title |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our Reed scraper handles every layer of the platform: job listings, salary normalisation, course catalogues, and employer profiles with anti-bot circumvention built in.
Title, description, salary bands, contract type, and location scraped at the individual job page level.
Normalise raw salary strings into minimum, maximum, and currency integers for direct warehouse ingestion.
Distinguish between recruitment agency postings and direct employer listings using Reed metadata flags.
Extract course catalogues, pricing, provider details, and CPD point allocations across all educational categories.
Capture exact working patterns, remote flexibility, and office location requirements.
Monitor job duration on the platform by tracking posted dates against closing dates or delisting events.
Extract agency profiles, contact details, and aggregate job volumes per recruitment firm.
Identify sponsored job slots in search results to track competitor advertising spend and strategy.
Run daily market snapshots or configure continuous pipelines with change-detection diffing.
Brief in. Clean data out.
Provide job keywords, regions, or employer names. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and Cloudflare bypass for reed.co.uk.
Schema validation, null-rate checks, salary-outlier detection, and sample records before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Job boards rely on aggressive rate limits and pagination caps. Here is how we extract full market data reliably.
Reed uses aggressive rate limiting and Cloudflare. We route requests through UK residential IPs with randomised delays and valid TLS fingerprints.
Reed salary formats vary wildly. We parse strings like '£40,000 to £50,000 per annum + bonus' into structured min/max numeric fields for immediate analysis.
Search results cap at 1,000 jobs. We slice search queries by granular geographic radii and salary bands to extract the full corpus without hitting limits.
Recruiters cross-post identical roles. We hash job descriptions and normalise titles to flag probable duplicates in the final dataset.
For continuous market monitoring, we maintain a hash index of active jobs and only push new, updated, or deleted records.
Economic researchers track hiring volumes, salary inflation, and regional skill demand across the UK.
HR teams monitor competitor hiring velocity, role seniority, and salary band positioning.
B2B sales teams identify direct employers who are actively expanding headcount.
EdTech companies scrape Reed Courses to benchmark certification pricing and discount strategies.
Niche industry job boards syndicate specific roles via continuous API pipelines.
ML teams parse job descriptions to build taxonomies of emerging software and engineering skills.
"Reed holds the most comprehensive map of the UK labour market, but extracting structured salary bands and deduplicating agency spam requires serious engineering."
Most teams underestimate the investment required: reliable Reed scraping requires UK residential proxies, Cloudflare bypass, deep pagination slicing, and complex regex parsing for salary strings. DataFlirt absorbs that complexity so your engineers can focus on the analysis, not the infrastructure.
Everything supported by our reed.co.uk 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 and interaction flows.
We maintain pools of residential ISP proxies across UK regions. Rotation happens per-request with sticky sessions where required.
Pipelines run on AWS Lambda and ECS. 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 reed.co.uk scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available job postings is generally permissible under UK law. We target only public, non-authenticated data. We do not extract personal data or circumvent authentication walls.
Reed caps search results at 1,000 jobs. We programmatically slice searches by micro-locations and narrow salary bands to ensure complete extraction coverage.
Yes. Reed listings often contain unstructured salary text. Our pipeline uses regex patterns to extract minimum, maximum, and currency values into structured fields.
Daily pipeline runs capture all new listings and status changes within a 4-hour window. Real-time streaming is available for specific keyword alerts.
Yes, we scrape the entire Reed Courses catalogue, including provider details, pricing, discounts, and CPD points.
We generate similarity hashes based on job descriptions and titles to flag probable duplicates cross-posted by different recruitment agencies.
No. We do not scrape authenticated candidate profiles, CV databases, or internal recruiter dashboards. We only extract public job and course listings.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a daily snapshot of the UK tech market or a continuous feed of remote roles, we scope, build, and operate the pipeline. Tell us what you need.
