Jemogfix.dk Product & Price Scraper

What does Jemogfix.dk Product & Price Scraper do?

Jemogfix.dk Product & Price Scraper extracts structured product data from jemogfix.dk — price, the unit price per metre or m² where the shop publishes one, previous price, in stock status, delivery time, brand, specifications, variants and images. Search by keyword with a controllable result limit, enrich each product with its full detail page, and keep price lists fresh with incremental runs.

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Key features

• 💵 Structured pricing: structured price and currency on every product, plus the unit price per metre or m² (alternativePrice) wherever jemogfix.dk publishes one — numbers you can sort and compare without parsing price text.
• 📉 Price-change tracking: previousPrice show how a product's price moved since the previous run.
• 📦 Stock and availability: inStock on every product, so you can see what is in stock and actually buyable.
• 🎨 Colors, sizes and variants: variants on each product, so you can see every option it comes in.
• 🏷️ Brand and identifiers: brand on every product, ready to join against your own catalog.
• 🖼️ Images: images with every image URL, not just the thumbnail.
• 🔍 Keyword search: search jemogfix.dk by keyword with the query input.
• 🔗 Paste-mode: paste jemogfix.dk URLs into startUrls to scrape exactly the pages you picked in the browser.
• 📋 Detail enrichment: two-stage scraping — list first, then enrich each listing with the full detail-page payload. One input toggle controls the depth.
• ♻️ Incremental mode: daily runs emit only listings that are new or whose price/condition changed since last run. Perfect for inventory-diff dashboards and competitive pricing alerts. Saves 80–95% on recurring monitoring.
• 🔔 Notifications: telegram / Slack / Discord / WhatsApp / webhook alerts on each run. Combine with incremental to ping only when prices or inventory actually move.

What data can you extract from jemogfix.dk?

Each result includes Core product fields (url, portalUrl, title, brand, erpItemNo, highlights, teaser, and images, and more) and detail fields when enrichment is enabled (description and detailFetched). 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 where the source provides them.

Input

The main inputs are a search keyword and a result limit. Additional filters and options are available in the input schema.

Key parameters:

• query — Product search keywords, in Danish as the shop uses them (e.g. "terrassebrædder", "maling", "skruemaskine"). Use * to browse the whole catalogue. Use a JSON array for several searches in one run, e.g. ["maling","pensler"].
• maxResults — Maximum total results (0 = unlimited). (default: 100)
• startUrls — Paste search-results URLs from the shop (e.g. https://www.jemogfix.dk/soeg/?query=maling). Each URL becomes its own search; results are merged and deduped across all URLs. When provided, startUrls REPLACE the search term (unsupported URLs are skipped, and if none is supported the run stops with an input error). (default: [])
• includeDetails — Fetch each product's page for brand, full description, specifications, image gallery and variants. (default: true)
• descriptionMaxLength — Truncate description to N chars. 0 = no truncation. (default: 0)
• compact — Core fields only (for AI-agent/MCP workflows). (default: false)
• descriptionFormat — Pick a single description representation. all keeps every variant; text / html / markdown drop the others. (default: "all")
• excludeEmptyFields — Drop null, empty-string, and empty-array fields from each record before push. Smaller payloads for AI agents and dashboards. (default: false)
• incrementalMode — Compare against previous run state. stateKey is optional — defaults to a value derived from search inputs (queries and start URLs) so different filter sets never share state. (default: false)
• stateKey — Optional. Stable identifier for the tracked search universe. Leave empty to auto-generate from search inputs.
• skipReposts — When incremental, skip products whose content matches an expired product from a prior run (cross-run duplicate detection). (default: false)
• notifyOnlyChanges — When Incremental Mode is on, only send notifications for NEW and UPDATED products. Has no effect outside incremental mode. (default: false)
• ...and 12 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": "terrassebrædder",
  "maxResults": 50
}

Incremental tracking — Only emit products 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": "terrassebrædder",
  "maxResults": 200,
  "incrementalMode": true,
  "stateKey": "terrassebrædder-tracker"
}

Compact output for AI agents — Return only core fields for AI-agent and MCP workflows.

→ Small payload with the most important fields — ideal for piping into LLMs without token overhead.

{
  "query": "terrassebrædder",
  "maxResults": 50,
  "compact": true
}

Output

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

Example product record

{
  "url": "https://www.jemogfix.dk/terrassebraedder-laerk-28-x-120-mm-x-4-meter/4108/9077035/",
  "portalUrl": "https://www.jemogfix.dk/terrassebraedder-laerk-28-x-120-mm-x-4-meter/4108/9077035/",
  "title": "Terrassebrædder lærk 28 x 120 mm x 4 meter",
  "erpItemNo": "9077035",
  "description": "Terrassebrædder i lærk 28 x 120 mm x 4 meter. Brædder til anlægning af træterrasse. Brædderne er ubehandlede og fremstillet af europæisk lærketræ. De er høvlet på begge sider og måler H28 mm x B120 mm...",
  "highlights": "Ubehandlede brædder til anlægning af træterrasse\nFremstillet af europæisk lærk og høvlet på begge sider\nEt bræt måler 28 x 120 mm\nLængde: 4 meter",
  "teaser": "Til anlæg af terrasse. Ubehandlet og høvlet på begge sider.",
  "images": [
    "https://media.jemogfix.dk/prod-mediafiles/dk/varer/source/4108 9077035.jpg?v=638949060000000000"
  ],
  "price": 119,
  "priceUnit": "stk.",
  "alternativePrice": 29.75,
  "alternativePriceUnit": "mtr.",
  "currency": "DKK",
  "inStock": false,
  "deliveryTime": "Leveringstid 1 - 3 arbejdsdage",
  "category": [
    "Byggevarer",
    "Træ & brædder",
    "Terrassebrædder"
  ],
  "specifications": {
    "Type": "Terrassebrædder",
    "Materiale": "Lærk",
    "Bredde": "120 mm",
    "Længde": "4 meter",
    "Tykkelse": "28 mm"
  },
  "productId": "eb1f38a1-fc4f-480e-82bc-6e7b6d8c39c9",
  "itemGroup": "4108",
  "listingId": "a430aadc9ff1f8b5d11e3eac00ca086557232791279c86545a1b134e54b60169",
  "searchQuery": "terrassebrædder",
  "contentQuality": "full",
  "detailFetched": true,
  "scrapedAt": "2026-10-19T17:12:28.251Z",
  "source": "jemogfix.dk"
}

Incremental fields

When incremental mode is on, each record also carries:

• changeType — one of NEW, UPDATED, REAPPEARED.
• 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 jemogfix.dk

1. Go to Jemogfix.dk Product & Price Scraper in Apify Console.
2. Enter a search keyword.
3. Set maxResults to control how many results you need.
4. Enable includeDetails if you need full descriptions.
5. Click Start and wait for the run to finish.
6. Export the dataset as JSON, CSV, or Excel.

Use cases

• Extract product data from jemogfix.dk for market research and competitive analysis.
• Track pricing trends across regions and categories over time.
• Monitor new and changed products on scheduled runs without processing the full dataset every time.
• 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 jemogfix.dk?

Jemogfix.dk Product & Price Scraper 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: $0.0045 per run
• Per result: $0.00576 per product record

Example costs:

• 10 results: $0.062
• 25 results: $0.15
• 100 results: $0.58
• 200 results: $1.16
• 500 results: $2.88

Example: recurring monitoring savings

These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of products 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: 250 products per run, daily polling (30 runs/month). Costs scale linearly with the number of products.

Churn rate	Full re-scrape run cost	Incremental run cost	Savings vs full re-scrape	Monthly cost after baseline
5% — stable niche query	$1.44	$0.08	$1.37 (95%)	$2.30
15% — moderate broad query	$1.44	$0.22	$1.22 (85%)	$6.62
30% — high-volume aggregator	$1.44	$0.44	$1.01 (70%)	$13.10

Full re-scrape monthly cost at the same cadence: $43.34. First month with incremental costs $3.66 / $7.84 / $14.10 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply.

Platform usage is included in the per-result fee shown above.

FAQ

How many results can I get from jemogfix.dk?

The number of results depends on the search query and available products on jemogfix.dk. Use the maxResults parameter to control how many results are returned per run.

Does Jemogfix.dk Product & Price Scraper support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed products 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 Jemogfix.dk Product & Price Scraper with other apps?

Yes. Jemogfix.dk Product & Price Scraper 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 Jemogfix.dk Product & Price Scraper 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 Jemogfix.dk Product & Price Scraper 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 jemogfix.dk?

This actor extracts publicly available data from jemogfix.dk. 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 jemogfix.dk. 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 Jemogfix.dk Product & Price'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 an independent tool and is not affiliated with, endorsed by, or sponsored by Jemogfix.dk Product & Price or any of its subsidiaries. All trademarks mentioned are the property of their respective owners.

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