CV-Library [Just 💰$1.5] — UK job listings

What does CV-Library do?

CV-Library Scraper extracts structured job listings from cv-library.co.uk, one of the UK's largest job boards — salary with annualised pay, recruiter and employer contact details, applicant counts, and full descriptions, one row per job. Filter by keyword, location with distance radius, contract type and salary, and run incrementally to return only new and changed jobs.

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Key features

• 💷 Structured salary with annualised pay — every listing carries structured salary — min, max, currency, and period — plus an annualised min/max that normalises day- and hourly-rates to a yearly figure so you can compare and filter across contract types.
• 📍 GPS coordinates + distance — each job includes precise GPS coordinates (latitude/longitude) and the straight-line distance from your searched location in both km and miles — sort, map, or radius-filter jobs with real geodata, not just a place name.
• 📞 Recruiter name, phone & logo — pull the recruiter's contact name and phone number straight from the listing (where the advertiser publishes it), alongside the agency/employer name and logo — lead-gen data no other CV-Library scraper returns.
• 🎛️ Precise search filters — narrow by keyword, location, radius (miles or km), contract type, minimum salary, posted-within window, remote-only, and sort order — so you pull exactly the jobs you want and nothing else.
• ♻️ Incremental mode — recurring runs emit and charge only for listings that are new or whose tracked content changed. First run builds the baseline; subsequent runs emit only NEW / UPDATED / REAPPEARED records (UNCHANGED + EXPIRED opt-in). Saves 80–95% on daily monitoring.
• 📦 Compact mode — AI-agent and MCP-friendly payloads with core fields only.
• ✂️ Description truncation — cap description length with descriptionMaxLength to control LLM prompt cost and dataset size — set 0 for full descriptions, or any char-limit to trim.
• 🔗 URL + social-profile extraction — every record carries extractedUrls[] plus a structured socialProfiles { linkedin, twitter, instagram, facebook, youtube, tiktok, github, xing } parsed from the description.
• 🔔 Notifications — Telegram, Slack, Discord, WhatsApp Cloud API, and generic webhook out of the box. Pair with incremental for daily new-listing alerts without pipeline glue.
• 🔌 MCP connectors — export your results into Notion via Apify's MCP connectors — a clean run-summary page, no glue code. Opt-in via the App connector field; deterministic field-mapping, no AI. Built on Apify's connector framework, so more destinations open up as their catalog grows.

What data can you extract from CV-Library?

Each result includes Core job fields (jobId, jobKey, title, location, country, latitude, longitude, and distanceKm, and more), detail fields when enrichment is enabled (description, descriptionText, descriptionHtml, descriptionMarkdown, and descriptionLength), apply information (easyApply and applyUrl), and company metadata (company and companyLogo). In standard mode, all fields are always present — unavailable data points are returned as null, never omitted. In compact mode, only core fields are returned.

Enable detail enrichment in the input to get richer fields such as full descriptions and company metadata where the source provides them.

Input

The main inputs are a search keyword, an optional location filter, and a result limit. Additional filters and options are available in the input schema.

Key parameters:

• query — Job search keywords. Use JSON array for multi-query.
• country — Which cv-library.co.uk market to search. (default: "GB")
• location — Town, city, or postcode to search around (e.g. "London", "Manchester", "M1"). Use JSON array for multi-location.
• distanceMiles — Search radius in miles around the location. Ignored when no location is set. (default: "15")
• radiusKm — Search radius in kilometres around the location (converted to miles for the search). Overrides the miles distance when set. 0 = use the miles distance above. (default: 0)
• postedWithinDays — Only return jobs posted within the last N days. (default: "0")
• sortBy — Ordering of search results. (default: "relevance")
• contract — Restrict to a contract type. (default: "any")
• salaryMin — Only return jobs advertising at least this annual salary. 0 = no minimum. (default: 0)
• remoteOnly — Only return jobs flagged as remote. (default: false)
• startUrls — Direct search or job detail URLs.
• maxResults — Maximum total job listings to return (0 = unlimited). (default: 25)
• ...and 24 more parameters

Input examples

Basic search — Keyword-driven search with a result cap.

→ Full payload per result — all standard fields populated where the source provides them.

{
  "query": "software engineer",
  "maxResults": 50
}

Incremental tracking — Only emit jobs that changed since the previous run with this stateKey.

→ First run builds the baseline state. Subsequent runs emit only records that are new or whose tracked content changed. Set emitUnchanged: true to include unchanged records as well.

{
  "query": "software engineer",
  "maxResults": 200,
  "incrementalMode": true,
  "stateKey": "software-engineer-tracker"
}

Compact filtered output — Combine filters with compact mode for a lightweight AI-agent or MCP data source.

→ Core fields only — ideal for piping into LLMs or downstream tools without token overhead.

{
  "query": "software engineer",
  "salaryMin": 0,
  "maxResults": 50,
  "compact": true
}

Output

Each run produces a dataset of structured job records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

Example job record

{
  "jobId": "1ce52ca1c8b076619e3c8af4d3b1dda566e73ef1ae0c4d37af57ed4382f34a6d",
  "jobKey": "225284087",
  "title": "Despatch Operative",
  "company": "Agrial Fresh Produce",
  "companyLogo": "https://client-cms.eks.cv-library.co.uk/api/media/file/companylogo-385391-big.png",
  "location": "WN5, Windy Arbour, Borough of Wigan",
  "country": "GB",
  "latitude": 53.5531,
  "longitude": -2.68158,
  "distanceKm": 30,
  "distanceMiles": 18.6,
  "isRemote": false,
  "isFeatured": false,
  "easyApply": false,
  "description": "Despatch Operative\n\nWhen registering to this job board you will be redirected to the online application form. Please ensure that this is completed in full in order that your application can be reviewe...",
  "descriptionText": "Despatch Operative\n\nWhen registering to this job board you will be redirected to the online application form. Please ensure that this is completed in full in order that your application can be reviewe...",
  "descriptionHtml": "<p>Despatch Operative</p>\n\n<p>When registering to this job board you will be redirected to the online application form. Please ensure that this is completed in full in order that your application can...",
  "descriptionMarkdown": "Despatch Operative\n\nWhen registering to this job board you will be redirected to the online application form. Please ensure that this is completed in full in order that your application can be reviewe...",
  "descriptionLength": 6335,
  "salaryText": "£15 per HOUR",
  "salaryRange": "£15 per HOUR",
  "salaryMin": 15,
  "salaryMax": 15,
  "salaryCurrency": "GBP",
  "salaryPeriod": "HOUR",
  "salaryType": "HOUR",
  "annualSalaryMin": 30089,
  "annualSalaryMax": 30089,
  "contractType": "Permanent",
  "jobReference": "315545CVW",
  "isExpired": false,
  "postedAt": "2026-06-23T15:42:08Z",
  "canonicalUrl": "https://www.cv-library.co.uk/job/225284087/",
  "applyUrl": "https://www.cv-library.co.uk/job/225284087/",
  "sourceUrl": "https://www.cv-library.co.uk/job/225284087/",
  "sourceCountry": "GB",
  "sourceDomain": "www.cv-library.co.uk",
  "searchQuery": "nurse",
  "searchUrl": "https://www.cv-library.co.uk/search-jobs?q=nurse&geo=Manchester",
  "fetchedAt": "2026-07-16T21:29:05.223Z",
  "detailFetched": true,
  "contentQuality": "full",
  "contentHash": "992b3ec07273b59c02bd332bfbf0e7c58ba9f2134d31b83052062200e9bdfa2a"
}

Incremental fields

When incremental mode is on, each record also carries:

• changeType — one of NEW, UPDATED, UNCHANGED, REAPPEARED, EXPIRED. Default output covers NEW / UPDATED / REAPPEARED; set emitUnchanged: true or emitExpired: true to opt into the others.
• firstSeenAt, lastSeenAt — ISO-8601 timestamps tracking the listing across runs.
• isRepost, repostOfId, repostDetectedAt — populated when a new listing matches the tracked content of a previously expired one. Set skipReposts: true to drop detected reposts from the output.

How to scrape CV-Library

1. Go to CV-Library in Apify Console.
2. Enter a search keyword and optional location filter.
3. Set maxResults to control how many results you need.
4. Enable includeDetails if you need full descriptions, company data.
5. Click Start and wait for the run to finish.
6. Export the dataset as JSON, CSV, or Excel.

Use cases

• Extract job data from CV-Library for market research and competitive analysis.
• Track salary trends across regions and categories over time.
• Monitor new and changed jobs on scheduled runs without processing the full dataset every time.
• Auto-apply or feed apply URLs into your ATS / hiring pipeline.
• Research company hiring patterns, employer profiles, and industry distribution.
• Use structured location data for regional analysis, mapping, and geo-targeting.
• Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
• Export clean, structured data to dashboards, spreadsheets, or data warehouses.

How much does it cost to scrape CV-Library?

CV-Library uses pay-per-event pricing. You pay a small fee when the run starts and then for each result that is actually produced.

• Run start: $0.005 per run
• Per result: $0.0015 per job record

Example costs:

• 10 results: $0.02
• 25 results: $0.042
• 100 results: $0.15
• 200 results: $0.3
• 500 results: $0.76

Example: recurring monitoring savings

These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of jobs that are new or whose tracked content changed since the previous run. Actual churn depends on your query breadth, source activity, and polling frequency — the scenarios below are examples, not predictions.

Example setup: 100 jobs per run, daily polling (30 runs/month). Costs scale linearly with the number of jobs.

Churn rate	Full re-scrape run cost	Incremental run cost	Savings vs full re-scrape	Monthly cost after baseline
5% — stable niche query	$0.15	$0.01	$0.14 (92%)	$0.38
15% — moderate broad query	$0.15	$0.03	$0.13 (82%)	$0.82
30% — high-volume aggregator	$0.15	$0.05	$0.11 (68%)	$1.50

Full re-scrape monthly cost at the same cadence: $4.65. First month with incremental costs $0.52 / $0.95 / $1.60 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply.

Platform usage (compute and proxies) is billed separately by Apify based on actual consumption. Incremental runs consume less on result processing, though fixed per-run overhead stays the same.

FAQ

How many results can I get from CV-Library?

The number of results depends on the search query and available jobs on CV-Library. Use the maxResults parameter to control how many results are returned per run.

Does CV-Library support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed jobs on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset.

Can I integrate CV-Library with other apps?

Yes. CV-Library works with Apify's integrations to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

Can I use CV-Library with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the Apify API. Client libraries are available for JavaScript, Python, and other languages.

Can I use CV-Library through an MCP Server?

Yes. Apify provides an MCP Server that lets AI assistants and agents call this actor directly. Use compact mode, descriptionMaxLength, a single descriptionFormat, and excludeEmptyFields to keep payloads manageable for LLM context windows.

Is it legal to scrape CV-Library?

This actor extracts publicly available data from CV-Library. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.

Your feedback

If you have questions, need a feature, or found a bug, please open an issue on the actor's page in Apify Console. Your feedback helps us improve.

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Getting started with Apify

New to Apify? Create a free account with $5 credit — no credit card required.

1. Sign up — $5 platform credit included
2. Open this actor and configure your input
3. Click Start — export results as JSON, CSV, or Excel

Need more later? See Apify pricing.

Disclaimer

This actor accesses only publicly available data on cv-library.co.uk. You are responsible for how you use the extracted data — in particular any personal information such as names, phone numbers, or email addresses — and for complying with CV-Library's terms of use, applicable data-protection law (including the GDPR where it applies), and the anti-spam rules of your jurisdiction.

This actor is not affiliated with, endorsed by, or connected to CV-Library.

Search keywords

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