PagesJaunes Scraper 🇫🇷 Email, SIRET, GPS — France Leads avatar

PagesJaunes Scraper 🇫🇷 Email, SIRET, GPS — France Leads

Pricing

from $0.96 / 1,000 business records

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PagesJaunes Scraper 🇫🇷 Email, SIRET, GPS — France Leads

PagesJaunes Scraper 🇫🇷 Email, SIRET, GPS — France Leads

Scrape PagesJaunes (French Yellow Pages) by city + category. Returns business name, phone, email (website-enriched), website, full address, GPS, SIRET/SIREN, rating, opening hours + a data-quality score. The richest French B2B lead dataset on the Store. Pay per result.

Pricing

from $0.96 / 1,000 business records

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Developer

Vitalii Bondarev

Vitalii Bondarev

Maintained by Community

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2

Monthly active users

11 days ago

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French B2B leads from PagesJaunes — phone, email, SIRET/SIREN, GPS, website, opening hours. Pay per result, no monthly fee.

PagesJaunes is the authoritative French business directory — 3M+ listings covering every city and trade. This scraper turns it into clean, structured B2B lead records with the richest field set on the Store for this source: registration numbers (SIRET/SIREN), GPS coordinates, and website-enriched email that other scrapers don't provide. Build a targeted list of plumbers in Paris, real-estate agencies in Lyon, or lawyers in Marseille in minutes.

What it does

For each search (city + category) the actor:

  1. Fetches the /annuaire/<city>/<category> listing pages (~20 results/page, up to ~480 per search).
  2. Fetches each business detail page (/pros/<id>) for phone, SIRET/SIREN, GPS, rating, hours, website.
  3. When a website is present, crawls it for a public B2B email (see Email enrichment).
  4. Returns a flat, normalized record per business with a data-quality score.

Input

FieldTypeRequiredDescription
citystringyesCity slug (e.g. paris-75, lyon-69, marseille-13)
categorystringyesCategory slug (e.g. plombiers, restaurants, agences-immobilieres)
maxItemsintegernoMax results (0 = all available). Default: 40
enrichEmailbooleannoCrawl business websites for a public email. Default: on

City slugs = lowercase city name + hyphen + department number (paris-75, lyon-69, marseille-13, bordeaux-33). Category slugs = the French plural noun as in the URL (plombiers, restaurants, avocats, agences-immobilieres).

Output schema

FieldTypeDescription
namestringBusiness display name
phonestringPhone number (French format)
emailstringPublic B2B email, website-enriched (null if none public)
websitestringOfficial business website URL
streetstringStreet address
postalCodestringFrench 5-digit postal code
citystringCity name
latitude / longitudenumberGPS coordinates
siret / sirenstringOfficial French business registration numbers
detailUrlstringCanonical PagesJaunes URL (/pros/ID)
imagestringBusiness photo URL
rating / reviewCountnumber / integerAggregate rating + review count
categoryTypestringSchema.org business type (e.g. "Plumber")
openingHoursstringOpening hours
descriptionstringBusiness description
parse_confidencenumberData-quality score 0.0–1.0 — unique to this Actor
warningsarrayMachine-readable quality-warning codes

Why this beats other PagesJaunes scrapers

This ActorTypical PagesJaunes scrapers
SIRET / SIREN✅Sometimes
GPS coordinates✅Rarely
Email✅ verified, website-sourced, domain-matchingOften guessed (spam risk) or absent
Opening hours (structured)✅Rarely
Data-quality score✅ unique✗
ReliabilityMulti-tier transport with IP-rotation + browser fallbackSingle-tier (breaks on Cloudflare)

Every record ships a parse_confidence score — below 0.7 is a machine-readable signal your pipeline can filter automatically. No other PagesJaunes scraper offers this.

How to scrape email from PagesJaunes

PagesJaunes deliberately hides email behind an internal contact form — there is no email on the listing page. When a business publishes its own website, this Actor crawls that site (homepage + legal/contact pages) for a public, verified B2B email, filters out consumer webmails (gmail, orange…), and prefers an address on the business's own domain. Email coverage tracks how many businesses in your category have a website — high for agencies and commerce, lower for small trades. Toggle off with Enrich email from website.

Compliance (France / EU): these are public professional emails. For cold outreach under French B2B (CNIL opt-out) rules, your first email must identify you, state its purpose and the source of the data, and offer a one-click opt-out; avoid tracking pixels. You remain the data controller.

How much does it cost?

Pay-per-result: scraping 1,000 businesses costs about $0.99 (see the Pricing tab for the exact current price). No monthly fee; failed runs aren't charged.

Run sizeApprox. cost
100 businesses$0.10
500 businesses$0.50
1,000 businesses$0.99
5,000 businesses$4.95

The residential French proxy is billed to your own Apify account as platform usage.

Reliability

PagesJaunes uses Cloudflare protection. This Actor uses a resilient multi-tier transport — fresh-IP rotation on blocks with a browser fallback for persistent challenges — on both listing and detail pages, so runs stay green where single-tier scrapers fail. A residential FR proxy is prefilled (required — Cloudflare blocks datacenter IPs).

FAQ

Do I need a proxy or API key? No external API key. A residential French proxy is prefilled and uses Apify's own Residential pool (billed to your account).

What export formats? JSON, CSV, Excel, XML — from the dataset page or the Apify REST API.

Why is email empty for some businesses? Email exists only when the business has a website that publishes one. Many small trades have neither.

Can I schedule runs? Yes — Apify Scheduler, n8n, Make, or Zapier.

Is scraping PagesJaunes legal? This Actor extracts only publicly visible, non-protected business data for legitimate B2B research. You remain the data controller for any outreach — follow GDPR / CNIL B2B rules.

Use with AI agents (MCP)

This scraper is callable as a tool by AI agents (Claude Desktop, Cursor, VS Code, n8n, LangGraph, CrewAI, or any MCP-compatible client) via Apify's hosted Model Context Protocol server — e.g. "find plumbers in Paris with phone and SIRET", "list real-estate agencies in Lyon with emails for outreach".

{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=bovi/pagesjaunes-directory",
"--header",
"Authorization: Bearer <YOUR_APIFY_TOKEN>"
]
}
}
}

Minimal call (returns up to 40 results by default):

{ "city": "lyon-69", "category": "agences-immobilieres", "maxItems": 20 }

Returns clean, flat rows the agent can reason over directly:

{
"name": "Régie Thiébaud",
"phone": "04 78 24 35 09",
"email": "rtcb@regiethiebaud.fr",
"website": "http://www.regie-thiebaud.fr",
"street": "12 Rue de la République",
"postalCode": "69002",
"city": "Lyon",
"latitude": 45.764065,
"longitude": 4.858097,
"siret": "89428783800029",
"siren": "894287838",
"categoryType": "RealEstateAgent",
"rating": 4.3,
"reviewCount": 18,
"parse_confidence": 1.0,
"warnings": []
}

Integrations

The JSON/dataset output drops into the tools you already run, no glue code:

  • n8n / Make / Zapier — pipe every new dataset item into 500+ apps (Google Sheets, Airtable, Slack, HubSpot, your CRM): n8n, Make, Zapier.
  • Webhooks — fire your endpoint the moment a run finishes (docs).
  • MCP server — expose this Actor as a tool to Claude, Cursor, or any MCP client.
  • API & SDKs — fetch the dataset as JSON/CSV/Excel via the Apify REST API or Python/JS SDKs.

See all Apify integrations.

Disclaimer

This Actor is not affiliated with or endorsed by PagesJaunes / Solocal Group. It accesses publicly available data only.

More scrapers from our toolkit

Building a data pipeline? These actors pair well with this one — each runs on your own Apify account with the same pay-per-result pricing, no subscription:

Chain any of them together from the Integrations tab (the Run succeeded trigger) to build a multi-step workflow — one actor's output feeds the next.

Usage statistics

This Actor creates a small, content-free summary at the end of each run. It is used only to monitor reliability and improve this Actor. A copy is saved as USAGE_STATS in your own Apify key-value store, so you can see the exact record created for your run.

Set disableUsageStats to true in the input to opt out. Nothing is sent then; your USAGE_STATS record only says that statistics were disabled.

Only these fields are recorded:

  • schema version, Actor name and build number;
  • UTC start and finish hour (not a precise timestamp);
  • run duration, number of results and time to the first result, each as a coarse range;
  • whether the result was empty, the end status, and an error type from a fixed list;
  • memory setting and counts of charged events;
  • names of the input fields you set, never their values;
  • the selected option for input fields that offer a fixed list of choices (for example a sort order).

We do not collect input text, search terms, URLs, domains, usernames, email addresses, names, proxy credentials, tokens, scraped records, output items, raw error messages, stack traces, or hashes of any of those values. Records are kept for no longer than 13 months, used only as aggregated operational statistics, and never sold or shared.

Additional fields (Phase 2)

This Actor also records your Apify user ID, whether Apify marks the account as paying, the size range of list inputs, the selected country when the input offers a fixed list of countries, and one category from a fixed Actor taxonomy. We use these fields only for aggregate reliability, repeat-use and cross-Actor analysis; reports suppress any cell with fewer than five distinct users.

The same disableUsageStats: true input flag turns these fields off too. The user ID is removed after 13 months; we do not export, sell, share, or attempt to re-identify this data.

Run-outcome signals (v2)

To learn whether a run did what it was asked to do, the record also holds a few more coarse ranges and yes/no flags. None of them contains content:

  • the result limit you asked for (a range, when the input has one) and what share of it was delivered;
  • results delivered per input item you listed (a range);
  • output quality as ranges: how fully the result fields were filled, the share of rows that look like errors, the share of duplicate rows, and how many different fields appeared. These are counted in memory while results are saved; no result content is kept;
  • how the run was started (console, API, schedule, webhook, another Actor);
  • how it ended: stopped by you, timed out, reached the requested limit, stopped by the charge limit, and how many times the platform moved the run;
  • if this Actor reports it: how many items to process worked or failed (ranges) and one failure reason from a fixed list;
  • a short code made from the names of the input fields you set, never their values.

Repeat-run fingerprint (v2)

When your Apify user ID is recorded (see above), the record also holds an 8-character one-way code made from your input (proxy settings left out) and this Actor's name. It only lets us see that the same account ran the same input again soon after an unsatisfying run; we never see the input itself. It is stored only in the database, never published, and reports use it in aggregate with the same five-user minimum. It is the one exception to the statement above that no hashes are collected, and disableUsageStats: true turns it off.