Healthcare analysts
Coverage mapping
Nuanced outcome
Build a local CSV of public professionals for a specialty and city, then compare address coverage, convention details, and phone completeness.
Directories$50Free
Assurance Maladie Listing Scraper
This Assurance Maladie listing scraper exports public Annuaire Sante Ameli search results into a local CSV for healthcare directory research, clinic coverage checks, and structured contact review. Import the workflow into the UScraper local desktop app, run the prepared cardiologist-in-Paris search, and collect name, profession, Carte Vitale status, convention, address, phone, and sex fields without writing code.
Output
CSV
Columns
9
Search
Cardiologue
Location
Paris
Template
Free
At a glance
Export public Ameli directory listings to CSV
The workflow targets annuairesante.ameli.fr, the public Assurance Maladie health directory. Its default run searches for cardiologists in Paris, then tries to parse the live result page and same-origin paginated result URLs before Structured Export reads the normalized rows.
Because healthcare directories can change markup or slow automated traffic, the template includes a fallback sample row set based on the equivalent public preview. That keeps the CSV schema testable even when the live site returns no parseable listings during an initial dry run.
CSV-first healthcare directory research
Export Ameli listing fields into a file analysts can filter by profession, address, Carte Vitale status, sector, or phone availability.
Pagination attempt included
The JavaScript block tries multiple likely result-page URLs for the configured query, then deduplicates rows by name, address, and phone.
Local desktop workflow
The template runs in UScraper and writes to your configured local folder unless you add your own upload, sync, or sharing step.
Editable search inputs
Change the profession and location values in the workflow when you need dentists, nurses, ophthalmologists, or another French city.
Who this is for
Use cases for Annuaire Sante Ameli data
Clinic operations teams
Directory review
Nuanced outcome
Check how comparable practitioners appear in Ameli search results before planning outreach, partnership research, or manual verification.
Data teams
Prototype datasets
Nuanced outcome
Use the export schema as a starting point before combining official open datasets, APIs, or manual quality checks.
For adjacent directory workflows, see the Doctors File Info Scraper, PagesBlanches Info Scraper, and France Renov Entreprises Scraper. Browse the full UScraper template library when you need a related public listing scraper.
How to use
Run the Assurance Maladie scraper workflow
2
Review the search
The stock workflow opens the Annuaire Sante criteria page and fills a sample query for Cardiologue in Paris (75). Edit those values before running another profession or area.
3
Confirm the export path
Structured Export writes assurance-maladie-listing-scraper.csv with headers enabled and append mode on. Change the save folder if you are separating test and production exports.
4
Run the page flow
UScraper navigates, waits for the page, pauses briefly, executes the normalization script, waits again, then exports each .uscraper-ameli-row.
5
Open and validate the CSV
Spot-check names, addresses, and phone numbers against the public page before using the file in reporting, matching, enrichment, or outreach preparation.
Output preview
Assurance Maladie CSV columns
The export uses one row per normalized healthcare professional listing. Keep the first run small, then compare a few rows with the live Annuaire Sante page so you know whether the output came from live results or the fallback schema sample.
| lieu | profession_input | nom | profession | carte_vitale | convention | adresse | telephone | sexe |
|---|---|---|---|---|---|---|---|---|
| 75001, 75002, ..., 75116, PARIS | Cardiologue | BAILLY MINH TAM | Cardiologue | Carte Vitale acceptee | Conventionne Secteur 2 OPTAM | 5 RUE YVART, 75015 PARIS | 09 74 19 53 53 | Femme |
| 75001, 75002, ..., 75116, PARIS | Cardiologue | TIMSIT GILLES | Cardiologue | Carte Vitale acceptee | Conventionne Secteur 1 | 40 AVENUE DE FLANDRE, 75019 PARIS | 01 40 36 06 08 | Homme |
| 75001, 75002, ..., 75116, PARIS | Cardiologue | QUISEL LAURENT | Cardiologue | Carte Vitale acceptee | Conventionne Secteur 2 OPTAM | 5 RUE ST ANTOINE, 75004 PARIS | 01 42 78 56 26 | Homme |
assurance-maladie-listing-scraper.csvColumn
lieu
Configured search area, such as Paris department and postal-code coverage.
Column
profession_input
Profession used in the search form, for example Cardiologue.
Column
nom
Professional name parsed from the listing text.
Column
profession
Detected profession or specialty normalized from the result block.
Column
carte_vitale
Carte Vitale accepted or not accepted when the listing exposes it.
Column
convention
Convention, sector, OPTAM, or honoraires text when available.
Column
adresse
Practice address or facility address.
Column
telephone
French phone number parsed from the listing.
Column
sexe
Femme or Homme when exposed by the listing text.
Headers included - live rows and fallback sample rows use the same schema
Comparison
Local desktop scraper vs healthcare APIs and cloud tools
UScraper template
Local CSVCloud actor or API
External serviceSetup
Import JSON and run
Good for no-code Ameli directory exports and quick field validation.
Configure keys or hosted actors
Better for developer-owned pipelines with quotas, contracts, or vendor infrastructure.
Data path
CSV writes to your configured local folder
No upload is part of the stock workflow.
Requests and results pass through a third party
Useful at scale, but adds billing, policy, and data-processing review.
Maintenance
Best-effort page parsing
Review selectors and output after site changes or empty exports.
Official API or maintained actor
May provide stronger contracts, but can require integration work and usage limits.
Frequently asked questions
The Annuaire Sante Ameli directory exposes public professional listing data, but automated collection can still be governed by site terms, robots directives, data protection rules, database rights, and local law. Use reasonable pacing, collect only necessary fields, and get legal review before publishing or reselling healthcare datasets.
Before you run
Practical limits and maintenance notes
Keep these constraints visible
Rate limits
Avoid high-frequency healthcare directory runs
Add wait time for larger batches, avoid parallel loops, and stop when the site returns blocked, partial, or unusual pages.
Selector drift
Public directory layouts can change
Empty exports or missing convention fields usually mean the page structure, result URL pattern, or listing text needs review.
Compliance
Treat healthcare contact data carefully
Keep a documented purpose, collect only necessary fields, respect opt-out and platform rules, and verify whether official open data or FHIR APIs are a better source for your use case.
Download the free template, install the desktop app from UScraper download, and use this workflow when you need to export Ameli listings into a structured local CSV.
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
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