A scraper Kompass annuaire entreprises is useful when the question is not "can we get every record on the web?" but "can this team turn one approved Kompass listing page into a clean, reviewable CSV?" This use-case guide shows how research teams, newsrooms, SEO teams, procurement analysts, and monitoring workflows can use the Kompass Directory Scraper for Company CSV Export to move from manual directory browsing to structured export.
Use-case fit
When a Kompass annuaire scraper makes sense
Kompass is a B2B directory, so the practical value of scraping is not just the company name. A useful export preserves context: the category page, company location, supplier wording, visible contact fields, and Kompass detail URL.
That matters when a team needs a working list faster than a perfect database. A procurement analyst may need 120 suppliers in a region. A newsroom may need a map of companies in one sector before calling sources. An SEO team may need a list of competitor sites inside a niche. A market researcher may need to compare Kompass coverage with official registers, industry lists, and CRM data.
The right goal is a defensible shortlist, not a blind scrape. Start narrow, preserve source URLs, and keep a human review step before outreach, publication, or enrichment.
Personas
Four workflows for Kompass company data
| Persona | Pain | CSV outcome | Example decision |
|---|---|---|---|
| Market research | Manual directory review is slow across sectors and regions | A normalized shortlist with nom, lieu, presentation, fourniture, and url_detail | Which company categories deserve deeper profiling? |
| Newsroom research | Reporters need source leads without losing where each company came from | Traceable rows with url_entree and Kompass profile URLs | Which firms should be contacted or checked against public filings? |
| SEO and competitive research | Agencies need niche company websites, not generic keyword lists | Visible site values plus category context | Which sites compete in a B2B vertical or local service cluster? |
| Monitoring and sourcing | Teams revisit the same category over time | Dated CSV runs that can be compared after dedupe | Which new suppliers appeared since the previous review? |
For each workflow, the same pattern applies: choose a narrow source page, export visible listing fields, inspect the CSV, dedupe it, then decide whether a detail-page or website workflow is justified.
Research
Use a category page to assemble a first-pass universe of companies before segmentation, source calls, or enrichment.
Newsrooms
Keep the source URL and detail URL with every row so editors can verify where the lead came from.
SEO
Extract visible websites from a niche directory page, then classify domains by service line, location, and content footprint.
Monitoring
Run the same approved listing periodically, store dated exports, and compare new, changed, or removed rows.
Output
What the Kompass list template exports
The template output is deliberately spreadsheet-friendly. It extracts what the browser session can access from listing cards and keeps enough context for QA.
| Column | Use in the workflow |
|---|---|
url_entree | Starting listing URL, useful for audit notes and category attribution. |
nom | Company name from the card heading. |
lieu | Location line, usually the place marker shown on the listing. |
presentation | Short business description for triage. |
fourniture | Supplier categories or offer labels, joined for spreadsheet review. |
remarque | Certification note when visible. |
telephone | Visible phone value when present and accessible. |
site | External company website when Kompass exposes it on the card. |
url_detail | Kompass profile URL for manual checks or a later detail workflow. |
{
"rowSelector": ".rowTop",
"fileName": "kompass_annuaire_des_entreprises_scraper_liste.csv",
"fileMode": "append",
"columns": [
"url_entree",
"nom",
"lieu",
"presentation",
"fourniture",
"remarque",
"telephone",
"site",
"url_detail"
]
}
Kompass vs official sources
Kompass vs API Entreprise, API Recherche, and Sirene
Searches for kompass vs api entreprises usually mix two different problems. Kompass is useful for commercial discovery and supplier context. Official French sources are better for legal identity checks and verification.
If you need official identifiers, review the public documentation for API Recherche d'Entreprises or Sirene access from INSEE. If your organization is eligible for restricted administrative exchange, review the API Entreprise overview. If you need category context, supplier wording, and directory-discovery fields from Kompass pages, a listing scraper can be a complementary first pass.
Keep these sources separate. Use Kompass exports for discovery and market context. Use official registries for identity validation.
Runbook
How the template delivers a structured export
- Choose one Kompass category or search-results URL your team is allowed to process.
- Import the template into the UScraper local desktop app.
- Replace the Navigate URL with the approved listing page.
- Set a dated export folder so test rows do not mix with production rows.
- Run the first page, compare 10-20 rows with the browser, then allow pagination.
The built-in loop checks for common next-page selectors and returns to Structured Export after each page load. Append mode needs discipline: clear the output before a rerun, or save each run in its own folder.
Use one page family, inspect the first export, then let pagination continue only after names, locations, categories, and detail URLs look correct.
Governance
Legal, privacy, and quality guardrails
Automated collection can be limited by platform terms, robots guidance, database rights, privacy rules, and local law. Review the current Kompass terms of use and Kompass data-use policy before running production batches. For French privacy context, CNIL guidance on legitimate interest and web scraping is a useful starting point, especially if exported rows touch people, outreach, profiling, or redistribution.
Quality matters too. Keep run volume modest, collect only fields needed for the project, and keep a review log. If contact fields disappear, row counts drop sharply, or a CAPTCHA appears, stop and inspect the browser.
Next step
Build a Kompass CSV workflow you can explain
For most teams, the meilleur scraper annuaire entreprises is the one they can operate, audit, and explain. A local desktop app workflow gives analysts visibility into the source URL, waits, extraction columns, pagination, and final file path.
Start with the Kompass annuaire des entreprises scraper list template, then use the template library for adjacent directory workflows or the UScraper blog for tutorials and comparisons.
FAQ
Research teams, newsrooms, SEO teams, procurement analysts, and monitoring teams can use a Kompass listing scraper when they need a structured CSV from approved category or search-result pages.