Limited Time — Lifetime Access for just $99. Lock in before prices rise.

UScraper
Directories$50Free
Pappersfr Scraper by Keywords for Company Info logo

Pappersfr Scraper by Keywords for Company Info

The Pappersfr scraper by keywords turns a prepared list of Pappers.fr company detail URLs into a structured CSV. Start from keyword search results, paste the company profile URLs you are allowed to process into the Navigate block, and export SIREN, SIRET, address, legal form, activity, managers, accounting, and contact fields from the local desktop app.

Output

CSV

Columns

24

Starter URLs

8

Source

Pappers.fr

Template

Free import

At a glance

Export Pappersfr companies from keyword URL lists

Extracts the fields analysts usually copy by hand

Use it to scrape Pappersfr profile data for company name, registered address, activity text, workforce, creation date, SIREN, head-office SIRET, legal form, VAT number, RCS/RNE registration, capital, NAF or APE code, and accounting close date.

Creates a clean handoff file

Structured Export writes pappers_entreprise_info_scraper_via_mot_cle.csv with headers, making Pappersfr to CSV practical for Excel, Sheets, CRM enrichment, lead qualification, or internal company research.

Loops through company detail pages

The template does not depend on a fragile live search-result DOM. It loops over URLs you add from your own Pappers keyword searches and continues cleanly after each export.

Keeps the browser session local

The browser profile and CSV stay on your workstation unless you add another automation step. That matters when company identifiers are being matched to internal account or vendor lists.

Who uses it

Built for French company research workflows

Sales operations

Account enrichment

Favorable to scraping

Search Pappers by a market keyword, collect relevant company detail URLs, then run the template to normalize core company fields before CRM import. Pair the output with the Contact Details Scraper when you also need website-level contact discovery.

Market researchers

Keyword-based lists

Favorable to scraping

Build repeatable company lists around a brand, region, activity term, or competitor keyword. Compare this workflow with the Pappers Scraper by SIREN when you already have exact identifiers.

Compliance teams

First-pass screening

Nuanced outcome

Export SIREN, SIRET, legal form, registration, and address fields for triage, then verify high-stakes records against official registries, licensed APIs, or internal review systems.


How to use

The automation follows a simple control flow: Navigate opens each Pappers company URL, Wait for Page Load and Sleep give the page time to settle, Text Contains checks for an Oups... error page, and Loop Continue skips failed URLs. Valid pages run an Inject JavaScript block that normalizes visible labels into reusable fields, then Structured Export appends one row to the CSV.

1

Download and import

Use the free hosted JSON template from this page and import it into UScraper.

2

Collect keyword result URLs

Run your own Pappers.fr keyword searches, open the relevant company detail pages, and copy those profile URLs.

3

Replace the starter URLs

Edit navigate.urls. The bundled Carrefour examples are there to show the expected URL shape.

4

Set the export folder

Structured Export writes headers and appends rows. Change the save location before production runs.

5

Run and review the CSV

Inspect blank contact cells, reserved-account messages, and any rows skipped because Pappers returned an error page.

Output preview

What the Pappersfr CSV contains

pappers_entreprise_info_scraper_via_mot_cle.csv
CSV - UTF-8 - Append

Column

entreprise

Company name from the profile heading.

Column

adresse

Visible registered or head-office address.

Column

activite

Activity text shown on Pappers.

Column

effectif

Workforce band when available.

Column

creation

Creation or registration date.

Column

dirigeants

Displayed manager or legal representative.

Column

siren

Nine-digit company identifier.

Column

siret_siege

Head-office SIRET when exposed.

Column

forme_juridique

Legal form or category.

Column

numero_de_tva

Intracommunity VAT number when detected.

Column

code_naf_ou_ape

NAF or APE activity code.

Column

source_url

Pappers.fr profile URL processed.

Sample rows

1 of many

entrepriseadresseactiviteeffectifcreationdirigeantssirensiret_siegeforme_juridiquenumero_de_tvacode_naf_ou_apesource_url
CARREFOUR MANAGEMENT93 Avenue de Paris, 91300 MassyActivites des sieges sociaux500 a 999 salaries19/12/1995Alexandre Bompard40324506140324506100036SASFR4040324506170.10Z
Headers included - each valid company URL appends one row.

The full export also includes inscription_au_rcs, inscription_au_rne, capital_social, activite_principale_declaree, domaine_d_activite, forme_d_exercice, convention_collective_supposee, date_de_cloture_d_exercice_comptable, telephone, email, site_internet_1, and adresse_complete. For adjacent French directory research, compare the Societe.com company info scraper, browse the UScraper template library, or install the local desktop app from UScraper download.


Frequently asked questions

Pappers publishes company information, but automated collection can still be limited by site terms, database rights, privacy rules, robots guidance, and your reuse case. Keep request volume modest, avoid restricted fields, do not bypass access controls, and get legal review before using scraped rows for regulated or commercial datasets.

Before you run

Practical limits and maintenance notes

Guardrails for reliable Pappers exports

Rate limits

Start with small keyword batches

Pappers may slow, challenge, or limit browsing when automated traffic looks unusual. Keep waits in place, avoid parallel runs against the same site, and pause whenever the browser shows a verification step.

Layout drift

Visible labels can change

The extraction script reads page text around labels such as SIREN, SIRET, Forme juridique, Code NAF, and Capital social. Empty cells usually mean a changed layout, a missing field, or an account-only value.

Compliance

Verify important records

For legal, credit, or compliance decisions, verify the CSV against official registries, licensed APIs, or internal systems. Treat scraped rows as an operational aid, not a final authority.

Get Started

Download and use this template instantly

$50Free

What's Included

  • Template JSON file ready to import
  • Pre-configured scraping nodes
  • Works with UScraper desktop app

Open-source templates

UScraper templates are open source. Improve this workflow or contribute a new one to help the community grow.

Contribute on GitHub

Browse more templates in the library

All Templates
FAQ

Frequently asked questions

Here are some of our most common questions. Can't find what you're looking for?

View All FAQs

Stop writing scripts. Start scraping visually.

Download UScraper and build your first web scraper in under 10 minutes. No subscriptions, no code, no limits.

Available on Windows 10+ and macOS 12+ · Need help? [email protected]