The best Kompass scraper alternative depends on what you are buying: cloud automation, a SaaS visual scraper, a script, a managed dataset, or a local desktop app workflow. This comparison looks at Octoparse, Apify, AI scrapers, scripts, and UScraper's Kompass Directory Scraper for exporting Kompass annuaire des entreprises listing pages to CSV.
Comparison frame
What a Kompass scraper has to solve
Kompass is a B2B company directory, so a useful Kompass data extractor needs more than a selector for company names. It needs a starting URL, waits for listing cards, a field map, pagination logic, an export file, and a compliance process for the rows.
For listing-page scraping, the deliverable is usually a spreadsheet of companies from a category or search-result page. The UScraper list template focuses on visible card-level fields: url_entree, nom, lieu, presentation, fourniture, remarque, telephone, site, and url_detail.
Searches such as how to scrape Kompass, scraper annuaire Kompass, or octoparse Kompass alternative usually split into five categories: marketplace actors, no-code SaaS scrapers, AI scraper templates, custom scripts, and local desktop workflows.
Do not compare Kompass scrapers only by whether they extract a phone number. Compare where the browser session runs, where the company rows are stored, who maintains selectors, and how easy it is to audit the output.
Side by side
Kompass scraper alternatives compared
| Option | Best fit | Hosting | Code needed | Output shape | Pricing shape | Main trade-off |
|---|---|---|---|---|---|---|
| UScraper + Kompass listing template | Analyst CSV review from approved URLs | Local desktop app | Low | CSV with 9 listing columns | Free template; app licensing applies, no subscription | Best for supervised batches, not APIs |
| Octoparse Kompass templates | Hosted no-code extraction | Vendor cloud | Low | CSV or Excel-style export | SaaS plan and task limits | Fast start, but vendor-side execution |
| Apify Kompass actors | Cloud jobs, APIs, logs, datasets | Apify cloud | Low to medium | Dataset, JSON, CSV | Usage, runtime, storage, proxy, or transfer costs | Strong automation, not local by default |
| ParseHub-style visual scrapers | General web extraction | Vendor-assisted app or cloud | Low to medium | CSV, JSON, integrations | Tiered SaaS | Flexible, but selectors still drift |
| Thunderbit or AI scraper templates | Quick one-off extraction | Extension or cloud-assisted | Low | Spreadsheet-like rows | Credits or plans | Convenient, but needs QA |
| Scrapy or Playwright scripts | Engineering-owned parsers | Your machine or servers | High | Custom CSV, JSON, database rows | Engineering time plus infrastructure | Most control, most maintenance |
| Managed data service | Finished company files | Vendor infrastructure | Low | Delivered file or database | Project or dataset pricing | Less workflow visibility |
UScraper fit
Where UScraper and the Kompass listing template win
UScraper is strongest when the output is a local CSV that a human will inspect. The Kompass Directory Scraper template starts from a Kompass France listing URL, waits for .rowTop result wrappers, attempts to reveal visible phone or website controls, exports configured columns, checks for a next-page link, and loops until pagination ends.
That makes it useful for sourcing, sales research, market analysis, and procurement teams that need a first-pass company list before enrichment. Change the starting category URL, keep the export filename kompass_annuaire_des_entreprises_scraper_liste.csv, spot-check rows, then widen the run.
The local workflow also helps with governance. Category URLs, browser state, and exported rows stay in the desktop workflow unless you add an upload or sharing step. Non-developers can still see waits, the reveal step, export, pagination, and stop condition.
Cloud fit
When Octoparse, Apify, SaaS scrapers, or scripts make more sense
Choose Octoparse when your team wants a hosted visual scraper, marketplace templates, and SaaS task management. It is the closest Octoparse Kompass alternative comparison because both workflows are no-code, but the operating model differs: vendor-hosted workspace versus local desktop execution.
Choose Apify when the project belongs in a developer automation stack with scheduled cloud runs, API access, remote datasets, logs, proxies, and integration with other jobs.
Choose AI scraper tools for small exploratory runs. Choose Scrapy, Playwright, or another script stack when engineering needs tests, queues, version control, retries, and storage ownership.
Pick UScraper when the URL list is approved, the deliverable is CSV, and the operator needs to inspect the flow before running more pages.
Compliance
Review Kompass terms, access controls, and data-use rules
Publicly visible business-directory data still needs careful handling. Review current Kompass rules, respect robots guidance and access controls, and avoid fields you do not need. If the data touches people, outreach, profiling, or redistribution, check privacy and database-rights obligations before scaling.
For French-source workflows, review official guidance such as the CNIL page on legitimate interest and collection by moissonnage. Keep runs narrow, preserve source URLs, and test the CSV before commercial use.
Decision guide
Which Kompass scraper alternative should you choose?
Pick UScraper when you want a local, visible, no-code way to export Kompass listing pages to CSV. Start with the Kompass Directory Scraper, then browse the full template library if you need search, detail-page, or follow-up website extractors.
Pick Octoparse when a hosted no-code workspace is approved. Pick Apify when the run needs cloud actors and APIs. Pick AI scraper templates for quick experiments. Pick scripts when engineering owns the system. Pick managed data services when you want the result, not the workflow.
The practical middle ground is to separate discovery from enrichment: build a shortlist, preserve url_detail, dedupe the CSV, then decide whether detail scraping or CRM enrichment is appropriate.
For more examples, visit the blog library or the 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-owned parsers, and UScraper fits local CSV exports from approved Kompass listing pages.
How does UScraper compare with Octoparse for Kompass listings?
Octoparse is hosted visual scraping. UScraper runs the Kompass listing workflow in a local desktop app, keeps the block flow visible, and writes the export to a CSV folder you control.
How does Apify compare with UScraper for Kompass scraping?
Apify is stronger for hosted actors, developer APIs, datasets, and schedules. UScraper is stronger when an analyst needs a no-code local workflow and a reviewable CSV.
Is it legal to scrape Kompass annuaire des entreprises pages?
Kompass pages can contain public B2B information, but automation may still be limited by terms, robots guidance, database rights, privacy rules, and local law. Review source rules and get legal review before commercial reuse.
What does the UScraper Kompass listing template export?
The template exports url_entree, nom, lieu, presentation, fourniture, remarque, telephone, site, and url_detail when those values are visible.