# Cadremploi Jobs Scraper - Executive Vacancy Data (`scrapingmonkey/cadremploi-scraper`) Actor
Scrape Cadremploi search results and job details for management and professional vacancies, including employers and candidate requirements. Choose the collection mode and set a result limit for each input.
- **URL**: https://apify.com/scrapingmonkey/cadremploi-scraper.md
- **Developed by:** [ScrapingMonkey](https://apify.com/scrapingmonkey) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $1.00 / 1,000 results
This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.
Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event
## What's an Apify Actor?
An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.
## How to integrate an Actor?
If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.
For examples already wired to this Actor's own input schema, see the [API](#api) section below.
Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).
# README
Collect public management and professional vacancies with **Cadremploi Scraper**. Collect job requirements, contract terms and employer context to qualify professional roles and compare advertised compensation. Choose the records you need and export them to CSV, JSON or Excel without supplying a site login.
Use the results for French management recruitment. Submit matching public inputs in one run, retain the original record links, and send the structured output to your recruitment spreadsheet, reporting dashboard or research database.
| At a glance | Details |
|---|---|
| 📥 Input | Search fields or links to the selected items; see the examples below |
| 📤 Output | One row per job vacancy |
| 📄 Pagination | Automatic up to `maxResults` for each input, when more results are available |
| 🔐 Login required | No |
| ⚡ Processing | Multiple inputs per run with automatic retries for temporary errors |
| 💾 Delivery | One complete Apify dataset table; CSV, JSON and Excel export |
### What the Cadremploi scraper collects 💼
Collect management and professional vacancies. Collect job requirements, contract terms and employer context to qualify professional roles and compare advertised compensation.
| Collection | What you receive |
|---|---|
| Cadremploi jobs scraper | Records containing job titles, employers, locations, published pay, skills, ready for vacancy discovery and hiring-demand research. |
| Cadremploi job details scraper | Records containing job titles, employers, locations, published pay, skills, ready for vacancy enrichment and candidate-requirement analysis. |
Data can include:
- Record identity: Record identifiers, public links and the published job title or company name.
- Pay and compensation: Published salary or wage text, plus the amount, range, currency and pay-period fields supplied with the record.
- Employer information: Employer names, identifiers and profile links, with the company information attached to the public record.
- Location and workplace: Published workplace and location information, geographic coordinates and remote or workplace-arrangement indicators.
- Descriptions and requirements: Published job or company descriptions and HTML and readable text where supplied.
- Skills and qualifications: Required skills, experience or seniority requirements and education requirements.
- Employment and benefits: Employment and contract types.
- Dates and hiring activity: Publication and update information and advertised openings.
### How to scrape Cadremploi 🚀
1. Choose **Job Search** in **What to collect**, or select another collection mode.
2. Fill in the search fields, or paste links to the items you want to collect.
3. Set the maximum results and any optional filters.
4. Start the Actor and review the collected rows.
5. Export the dataset or connect it to your application.
#### Cadremploi jobs scraper — input example
```json
{
"mode": "cadremploi-job-search",
"query": "comptable",
"maxResults": 10
}
```
`maxResults: 10` means up to 10 results for **each input**. It does not guarantee that the website has that many matches. You can set the limit as low as 1.
#### Cadremploi job details scraper — input example
```json
{
"mode": "cadremploi-job-details",
"jobUrls": [
"https://www.cadremploi.fr/emploi/detail_offre?offreId=156549218814995917"
],
"maxResults": 10
}
```
### Cadremploi data fields and complete output 📦
| Field group | Included data |
|---|---|
| Record identity | Record identifiers, public links and the published job title or company name. |
| Pay and compensation | Published salary or wage text, plus the amount, range, currency and pay-period fields supplied with the record. |
| Employer information | Employer names, identifiers and profile links, with the company information attached to the public record. |
| Location and workplace | Published workplace and location information, geographic coordinates and remote or workplace-arrangement indicators. |
| Descriptions and requirements | Published job or company descriptions and HTML and readable text where supplied. |
| Skills and qualifications | Required skills, experience or seniority requirements and education requirements. |
| Employment and benefits | Employment and contract types. |
| Dates and hiring activity | Publication and update information and advertised openings. |
Each collected item is a separate row. `input` identifies the submitted value and `result_type` identifies the selected mode. All returned fields appear in one table; columns that do not apply to a mode can be empty.
A complete JSON result is shown for every collection mode below, in the same order as the input examples. Each example includes every field for its mode; text and lists are not shortened. Values are representative and can change.
#### Cadremploi jobs scraper — complete JSON result
```json
{
"result_type": "cadremploi-job-search",
"input": "https://www.cadremploi.fr/emploi/liste_offres",
"status": "success",
"id": "156542351944949457",
"url": "https://www.cadremploi.fr/emploi/detail_offre?offreId=156542351944949457",
"title": "Chef de projet Marketing Billettique & MaaS (chef de palier) F/H",
"company_name": "Île-de-France Mobilités",
"company_id": null,
"company_url": null,
"location": "Paris",
"contract": "CDI",
"salary_text": null,
"salary_min": null,
"salary_max": null,
"currency": null,
"salary_period": null,
"description": "- Elaborer la stratégie marketing billettique et MaaS : définir les objectifs à long terme pour la vente des produits billettiques /services/parcours TC + autres modes, analyser et segmenter les différentes catégories d’usagers, définir des stratégies adaptées à chaque segmen...",
"description_html": null,
"profile_description": null,
"profile_description_html": null,
"company_description": null,
"posted_at": "Publiée il y a quelques minutes",
"application_url": null,
"remote_work": null,
"working_time": null,
"skills": [],
"latitude": null,
"longitude": null,
"is_full_description": false,
"experience": null,
"education": null,
"vacancies": null
}
```
#### Cadremploi job details scraper — complete JSON result
```json
{
"result_type": "cadremploi-job-details",
"input": "https://www.cadremploi.fr/emploi/detail_offre?offreId=156549218814995917",
"status": "success",
"id": "156549218814995917",
"url": "https://www.cadremploi.fr/emploi/detail_offre?offreId=156549218814995917",
"title": "Directeur de Projets Traitement des Eaux & Procédés (H/F)",
"company_name": "Agence Oriflam",
"company_id": "15051011299964116",
"company_url": null,
"location": "Orléans",
"contract": "CDI",
"salary_text": null,
"salary_min": 55000.0,
"salary_max": 70000.0,
"currency": "EUR",
"salary_period": null,
"description": "En tant que Directeur de Projets, vous pilotez les opérations les plus stratégiques de l'activité traitement des eaux. Vous êtes responsable de la réussite technique, contractuelle et économique de vos projets tout en assurant l'encadrement fonctionnel des équipes mobilisées. Au-delà du pilotage, vous apportez votre expertise sur les procédés de traitement et intervenez comme référent sur les sujets complexes. > Vos missions principales Direction de projets complexes - Piloter des missions de maîtrise d'oeuvre et AMO pour des marchés de conception-réalisation - Assurer le suivi global des projets : technique, planning, budget et contractualisation. - Garantir la qualité des livrables et la satisfaction des maîtres d'ouvrage. - Superviser plusieurs opérations simultanément.Encadrement de la production - Organiser et coordonner le travail des chefs de projet, ingénieurs et spécialistes. - Arbitrer les choix techniques et méthodologiques. - Sécuriser les délais et la qualité des études produites. - Accompagner la montée en compétence des équipes.Expertise traitement des eaux & Procédés - Concevoir et dimensionner des filières de traitement. - Intervenir sur des projets liés aux aux grandes stations d'épuration urbaines, par exemple : - Traitements biologiques, - Traitements physico-chimiques, - Réutilisation des eaux usées traitées (REUT), - Revamping d'ouvrages existants.Relation client & développement - Être l'interlocuteur privilégié des grands maîtres d'ouvrage. - Participer aux soutenances et aux réunions stratégiques. - Contribuer aux réponses à appels d'offres. - Développer et entretenir des relations de confiance avec les clients historiques.",
"description_html": "En tant que Directeur de Projets, vous pilotez les opérations les plus stratégiques de l'activité traitement des eaux.
\nVous êtes responsable de la réussite technique, contractuelle et économique de vos projets tout en assurant l'encadrement fonctionnel des équipes mobilisées.
\nAu-delà du pilotage, vous apportez votre expertise sur les procédés de traitement et intervenez comme référent sur les sujets complexes.
\n> Vos missions principales
\nDirection de projets complexes
\n- Piloter des missions de maîtrise d'oeuvre et AMO pour des marchés de conception-réalisation
- Assurer le suivi global des projets : technique, planning, budget et contractualisation.
- Garantir la qualité des livrables et la satisfaction des maîtres d'ouvrage.
- Superviser plusieurs opérations simultanément.Encadrement de la production
\n- Organiser et coordonner le travail des chefs de projet, ingénieurs et spécialistes.
- Arbitrer les choix techniques et méthodologiques.
- Sécuriser les délais et la qualité des études produites.
- Accompagner la montée en compétence des équipes.Expertise traitement des eaux & Procédés
\n- Concevoir et dimensionner des filières de traitement.
- Intervenir sur des projets liés aux aux grandes stations d'épuration urbaines, par exemple :
- Traitements biologiques,
- Traitements physico-chimiques,
- Réutilisation des eaux usées traitées (REUT),
- Revamping d'ouvrages existants.Relation client & développement
\n- Être l'interlocuteur privilégié des grands maîtres d'ouvrage.
- Participer aux soutenances et aux réunions stratégiques.
- Contribuer aux réponses à appels d'offres.
- Développer et entretenir des relations de confiance avec les clients historiques.",
"profile_description": "> Profil recherché Formation - Ingénieur en génie des procédés, traitement des eaux, génie de l'environnement ou équivalent.Expérience - Minimum 10 ans en traitement des eaux. - 15 à 20 ans appréciés pour un positionnement directeur de projets. - Expérience impérative en maîtrise d'œuvre ou ingénierie intégrée.Expertise technique recherchée - Traitement des eaux usées urbaines. - Procédés biologiques. - Filières eau. - Traitement de l'azote et du phosphore. - Réhabilitation et optimisation d'ouvrages existants.Seront particulièrement appréciés - Expérience sur de grandes STEP urbaines. - Références auprès de syndicats d'assainissement ou grandes collectivités. - Pilotage de projets de plusieurs millions d'euros. - Expérience au sein d'acteurs de bureaux d'études.Qualités personnelles - Qualité rédactionnelle. - Leadership technique. - Vision globale des projets. - Capacité à fédérer des équipes pluridisciplinaires. - Aisance relationnelle auprès d'interlocuteurs de haut niveau.Ce poste ouvert à des candidats basés partout en France. Une présence d’une à deux journées par semaine en région parisienne est demandée.",
"profile_description_html": "> Profil recherché
\nFormation
\n- Ingénieur en génie des procédés, traitement des eaux, génie de l'environnement ou équivalent.Expérience
\n- Minimum 10 ans en traitement des eaux.
- 15 à 20 ans appréciés pour un positionnement directeur de projets.
- Expérience impérative en maîtrise d'œuvre ou ingénierie intégrée.Expertise technique recherchée
\n- Traitement des eaux usées urbaines.
- Procédés biologiques.
- Filières eau.
- Traitement de l'azote et du phosphore.
- Réhabilitation et optimisation d'ouvrages existants.Seront particulièrement appréciés
\n- Expérience sur de grandes STEP urbaines.
- Références auprès de syndicats d'assainissement ou grandes collectivités.
- Pilotage de projets de plusieurs millions d'euros.
- Expérience au sein d'acteurs de bureaux d'études.Qualités personnelles
\n- Qualité rédactionnelle.
- Leadership technique.
- Vision globale des projets.
- Capacité à fédérer des équipes pluridisciplinaires.
- Aisance relationnelle auprès d'interlocuteurs de haut niveau.Ce poste ouvert à des candidats basés partout en France. Une présence d’une à deux journées par semaine en région parisienne est demandée.
\n",
"company_description": "L'Agence Oriflam, cabinet de recrutement spécialisé dans les métiers de l'eau, recrute pour un bureau d'ingénierie reconnu intervenant sur les plus grands projets de traitement des eaux en France. La structure accompagne collectivités, syndicats et exploitants sur l'ensemble du cycle de vie des infrastructures : études stratégiques, AMO, maîtrise d'œuvre, conception-réalisation et assistance à l'exploitation. Dans un contexte de forte croissance porté par les investissements liés à la performance des systèmes d'assainissement et aux nouvelles exigences réglementaires, l'entreprise renforce son équipe de direction de projets. Vous rejoignez une équipe impliquée sur plusieurs opérations majeures en Île-de-France, avec des projets d'envergure dans les domaines du traitement des eaux usées, de l'eau potable et de la réutilisation des eaux traitées.",
"posted_at": "2026-09-15T07:12:29.139Z",
"application_url": "https://agence-oriflam.nicoka.com/public/jobs/1746-96b00400132ee99/?source=cadremploi",
"remote_work": null,
"working_time": null,
"skills": [],
"latitude": 47.84133,
"longitude": 1.932659,
"is_full_description": true,
"experience": null,
"education": null,
"vacancies": null
}
```
Images, tags and other lists stay with their parent result instead of creating extra rows. Invalid or unavailable inputs, inputs with no results, and requests that fail after all retries produce a row with `status: failed`. At most one failed row is saved per input; it includes `error_code` and `error_message` explaining the outcome. A normal end of pagination after collected results does not add a failed row.
### Input requirements and collection settings ⚙️
| Setting | What to enter |
|---|---|
| **What to collect** (`mode`) | Choose the information to collect. |
| **Maximum results per search or link** (`maxResults`) | Collect up to this many results for each search or link. Minimum: 1. |
| **Job title or keywords** (`query`) | Words to search for in job listings. Leave empty to include all jobs. For Job Search. |
| **Job listing links** (`jobUrls`) | Paste one link per line. Example: https://www.cadremploi.fr/emploi/detail\_offre?offreId=156549218814995917 For Job Details. |
| Collection mode | Fields to use |
|---|---|
| Job Details | **Job listing links** |
| Job Search | **Job title or keywords** |
The result limit applies separately to each search or supplied link. Collection ends earlier when no more matching results are available.
### Cadremploi scraping use cases 🎯
#### Hiring activity monitoring
Run repeat collections of Cadremploi listings and compare vacancy titles and original links over time to identify newly advertised roles and changes in hiring activity.
#### Vacancy enrichment
Turn known Cadremploi job links or supported identifiers into structured vacancy records for recruitment databases, job comparison tools and candidate research.
#### Advertised compensation research
Compare the compensation published in Cadremploi records. Keep the original salary text, units and available pay-period context when preparing recruitment or labour-market reports.
#### Skills demand analysis
Analyse the skills, experience or qualifications actually published in Cadremploi records to compare hiring requirements across role groups and prepare recruitment briefs.
#### Working-condition comparison
Compare the contract, schedule or benefit information published in Cadremploi records when researching how employers present their opportunities.
### Pricing and saved-result behavior 💰
See the Actor's **Pricing** tab for the active pricing model and current rate. Store settings may change, so this README does not claim a fixed cost.
Under dataset-item pricing:
- Each collected item saved in the dataset is one result.
- Images, tags and other values attached to that item do not create additional rows.
- Automatic retry attempts do not create extra dataset rows.
- A saved `failed` row is also one billable dataset item, including invalid inputs, unavailable items, no results, or exhausted retries. At most one failed row is saved per input, including when some results were already collected.
- `maxResults` caps all saved rows for each input, including its failed row. Repeated copies of the same input are processed once. More inputs or a higher limit can produce more saved results.
### Cadremploi scraper API and integrations 🔌
Replace `$ACTOR_ID` with the ID shown in the Actor API tab and `$APIFY_TOKEN` with your token.
```bash
curl -X POST "https://api.apify.com/v2/acts/$ACTOR_ID/runs?token=$APIFY_TOKEN" \
-H "Content-Type: application/json" \
-d '{"mode":"cadremploi-job-search","query":"comptable","maxResults":10}'
```
Use schedules for recurring collection, webhooks for completion notifications, and Apify integrations for Google Sheets, Make, Zapier, cloud storage, a CRM or your own application.
### Reliability, retries, and public-data limits ⚠️
Temporary connection errors, timeouts and access restrictions are retried automatically, up to five attempts. Invalid inputs save a failed row without an HTTP request; confirmed unavailable items save a failed row without unnecessary retries. Exhausted retries also save a failed row. Results already collected remain available if a later request fails, and normal pagination completion adds no error row. Collection also stops after two consecutive fully processed pages add no new results, even if the website provides another cursor. Required detail lookups are completed before checking a page; new results reset the counter, and independent reply branches are checked separately. Failures while initializing the Actor, saving data or scheduling requests stop the run instead of being reported as a failed website result.
Search accepts the public liste\_offres page with query. An advertisement can expose a summary rather than a complete description.
Cadremploi controls which information is publicly available. Removed, private or restricted items may be unavailable, and optional values can be null or empty. A run can still fail if the results cannot be saved.
### Frequently asked questions ❓
#### Does it require an account on Cadremploi?
No. You do not need to provide an account, password or login cookies. Only publicly available information is collected.
#### How does maxResults work?
It limits the number of saved results separately for every input. The minimum is 1. With maxResults set to 10, each input returns at most 10 available results. A detail lookup normally returns one record per input.
#### Which inputs and filters does this Actor support?
Search accepts the public liste\_offres page with query. An advertisement can expose a summary rather than a complete description.
#### When should I use Job Details instead of Job Search?
Use search to discover Cadremploi vacancies and their listing fields. Use details for a known vacancy when you need the additional description and requirements that the advertisement publishes.
#### Why are some fields empty?
The website may not publish that value, or the field may belong to a different collection mode. Missing values remain null or empty instead of being guessed.
#### Can I export the results to a spreadsheet?
Yes. Download CSV, Excel or JSON from the Apify dataset. All returned fields are included in the same results table.
### Support and responsible use 🛟
For a reproducible issue, share the run ID, selected mode, result limit and a safe public example through the support channel. Never disclose access tokens, passwords or proxy credentials.
Use public Cadremploi information lawfully and responsibly. Follow applicable privacy, copyright, data-protection, contractual and platform requirements when storing, analyzing or redistributing results.
# Actor input Schema
## `mode` (type: `string`):
Choose the information to collect.
## `maxResults` (type: `integer`):
Collect up to this many results for each search or link. Minimum: 1.
## `query` (type: `string`):
Words to search for in job listings. Leave empty to include all jobs. For Job Search.
## `jobUrls` (type: `array`):
Paste one link per line. Example: https://www.cadremploi.fr/emploi/detail\_offre?offreId=156549218814995917 For Job Details.
## Actor input object example
```json
{
"mode": "cadremploi-job-search",
"maxResults": 10,
"query": "comptable"
}
```
# Actor output Schema
## `results` (type: `string`):
Collected entities and failed input outcomes, with all available fields and error explanations in one dataset.
# API
You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.
## JavaScript example
```javascript
import { ApifyClient } from 'apify-client';
// Initialize the ApifyClient with your Apify API token
// Replace the '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"mode": "cadremploi-job-search",
"maxResults": 10,
"query": "comptable"
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrapingmonkey/cadremploi-scraper").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
console.dir(item);
});
// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs
```
## Python example
```python
from apify_client import ApifyClient
# Initialize the ApifyClient with your Apify API token
# Replace '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"mode": "cadremploi-job-search",
"maxResults": 10,
"query": "comptable",
}
# Run the Actor and wait for it to finish
run = client.actor("scrapingmonkey/cadremploi-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"mode": "cadremploi-job-search",
"maxResults": 10,
"query": "comptable"
}' |
apify call scrapingmonkey/cadremploi-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"type": "http",
"url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapingmonkey/cadremploi-scraper"
}
}
}
```
The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).
## OpenAPI specification
Download the OpenAPI definition: https://api.apify.com/v2/actors/vSTo8B8KypIFeEjAd/builds/PIPKLDm69104iNq5k/openapi.json