The best Kompass scraper alternative depends on the operating model: cloud actor, SaaS visual scraper, custom script, managed data service, or local desktop workflow. This comparison looks at Apify, Octoparse, ParseHub-style tools, AI scrapers, scripts, and UScraper's Kompass Company Detail Scraper for teams that need company detail pages exported to CSV.
Comparison frame
What a Kompass annuaire des entreprises scraper has to solve
Kompass is useful because company detail pages can expose business profile fields that are hard to collect consistently by hand: name, location, country, phone, website, presentation text, legal form, activity, capital, SIREN, SIRET, VAT number, and employee ranges. A practical Kompass data extractor has to turn that page-level information into rows that a researcher can audit later.
That is why "comment scraper Kompass" or "extraire données Kompass" searches usually split into four lanes:
- Marketplace actors such as Apify Kompass scrapers with cloud execution and API access.
- No-code SaaS scrapers such as Octoparse, ParseHub, Thunderbit, and similar visual tools.
- Custom scripts built with Scrapy, Playwright, proxies, and your own storage.
- Local desktop workflows such as UScraper templates, where waits, conditions, and CSV export stay visible.
The useful question is not "which tool can scrape Kompass?" It is "where do the URLs, browser session, run logs, and exported company rows live?"
Side-by-side
Kompass scraper alternatives compared
| Option | Best fit | Hosting | Code needed | Output shape | Pricing shape | Main trade-off |
|---|---|---|---|---|---|---|
| Apify Kompass actors | Developer-led cloud jobs and APIs | Apify cloud | Low to medium | Dataset, JSON, CSV | Platform usage plus actor/runtime costs | Strong infrastructure, but hosted execution and storage |
| Octoparse Kompass templates | No-code users who prefer cloud visual extraction | Vendor cloud | Low | CSV/Excel-style exports | SaaS plan limits and task rules | Fast start, but less local custody |
| ParseHub-style visual scrapers | Generic web extraction beyond one directory | Vendor cloud | Low | CSV, JSON, integrations | Tiered SaaS | Flexible, but selectors still need maintenance |
| Thunderbit or AI scraper templates | Fast ad hoc extraction by business users | Browser extension or cloud-assisted flow | Low | Spreadsheet-like output | Credit or plan-based | Convenient, but field stability needs QA |
| Managed data services | Teams buying finished Kompass datasets | Vendor infrastructure | Low | Delivered file or database | Project or dataset pricing | Less workflow control |
| Scrapy or Playwright scripts | Engineering teams that need versioned parsers | Your infrastructure | High | Whatever you build | Engineering time plus proxies and hosting | Maximum control, maximum maintenance |
| UScraper + Kompass detail template | Approved detail URL batches, visible workflow, local CSV | Local desktop app | Low | CSV with 17 company fields | Free template; app license applies, no subscription | Best for supervised local runs |
This is a comparison, not a universal ranking. Data engineering teams usually care about APIs and scheduling. Sourcing analysts with approved company detail URLs often care more about local custody, visible steps, and predictable licensing.
Where UScraper wins
When the local desktop app approach is the better fit
UScraper is strongest when the job is a controlled Kompass to CSV export, not broad discovery. The companion Kompass Company Detail Scraper opens supplied company profile URLs, waits for the page, checks for DataDome or captcha-delivery challenge screens, and appends one accessible company row to a local CSV.
The template exports 17 fields, including URL_entrée, Nom, Lieu, Pays, Téléphone, Site, Nature, Création, Forme_juridique, Activité, Capital, SIREN, SIRET, TVA, and employee ranges.
That design is useful when a human still owns data quality. You can inspect the graph, confirm the input list, review the challenge branch, change the export folder, and compare the CSV against live pages before handing it to sales, procurement, or research.
Where cloud wins
When Apify, Octoparse, SaaS scrapers, or scripts make more sense
Choose Apify-style actors when you want hosted execution, APIs, remote datasets, logs, retries, and developer integration. This is often better for scheduled collection or systems that already pull from cloud datasets.
Choose Octoparse or a similar SaaS visual scraper when operators want hosted no-code task management and the organization is comfortable with vendor-side execution.
Choose a managed data provider when the business wants a finished file and does not want to own selectors, browser access, pacing, retries, or QA.
Choose Scrapy, Playwright, or custom browser automation when engineering needs parser ownership, tests, queues, observability, and storage. The real cost is keeping it reliable as Kompass changes.
Prefer UScraper when source URLs and exported company rows should stay in a local desktop workflow. Prefer SaaS or actors when your company has already approved that vendor for data processing.
Compliance
Review Kompass terms before scraping
Kompass pages may be publicly visible, but public visibility is not permission for automation. Review the current Kompass terms of use, respect access controls, keep volume modest, and collect only what you need. If the workflow sees a DataDome or captcha-delivery challenge, treat it as a stop signal.
For sales or procurement use, also check whether your process touches personal data, database rights, redistribution restrictions, CRM enrichment rules, or customer-specific contractual limits. The safest scraper annuaire entreprises Kompass workflow is narrow, documented, and easy to audit.
Decision guide
Which Kompass scraping tool should you pick?
Pick Apify for hosted actors, API-driven runs, and cloud datasets. Pick Octoparse for a hosted no-code template catalog. Pick ParseHub-style or AI scraper tools for ad hoc extraction. Pick managed data services when you want a deliverable instead of a workflow. Pick Scrapy or Playwright when engineering wants full ownership.
Pick UScraper when the task is focused: import the Kompass detail template, paste approved company profile URLs, keep the DataDome check enabled, export CSV locally, and validate the first batch manually. Start with the Kompass Company Detail Scraper, read the companion Kompass scraping tutorial, or browse the full template library.
FAQ
What is the best Kompass scraper alternative?
The best option depends on hosting, scale, governance, and maintenance ownership. Apify fits hosted workflows, Octoparse fits cloud no-code tasks, scripts fit engineering ownership, managed services fit finished datasets, and UScraper fits local CSV exports from approved company detail URLs.
How does UScraper compare with Octoparse for Kompass detail pages?
Octoparse is a hosted no-code scraper platform with Kompass templates. UScraper runs locally, keeps the workflow graph visible, and writes the export to a folder you control. Use UScraper when local custody and no-subscription usage matter.
How does Apify compare with UScraper for Kompass scraping?
Apify is stronger for hosted runs, actor APIs, remote datasets, and developer automation. UScraper is stronger when business users need a local desktop app, visual blocks, and a spreadsheet-ready CSV from a controlled URL list.
Is it legal to scrape Kompass company data?
Kompass company pages can contain public B2B information, but automated collection may still be limited by terms, robots guidance, database rights, privacy rules, and local law. Review the current terms, do not bypass access controls, keep volume modest, and get legal review before commercial reuse.
What does the UScraper Kompass detail template export?
It exports a local CSV with source URL, company name, location, country, phone, presentation, website, establishment type, creation year, legal form, activity, capital, SIREN, SIRET, VAT number, and employee ranges when visible.