HelloWork Jobs Scraper - Vacancies & Employer Profiles
Pricing
from $1.00 / 1,000 results
HelloWork Jobs Scraper - Vacancies & Employer Profiles
Scrape HelloWork job search results and employer presentations attached to vacancy pages for French recruitment and company research. Choose the collection mode and set a result limit for each input.
Pricing
from $1.00 / 1,000 results
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ScrapingMonkey
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1
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9 days ago
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Collect public job search results and employer presentations with HelloWork Scraper. Combine French vacancy information with the employer's published workforce, remote policy and benefits for recruitment qualification. Choose the records you need and export them to CSV, JSON or Excel without supplying a site login.
Use the results for French recruitment and employer branding research. 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 vacancy / company |
| 📄 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 HelloWork scraper collects 💼
Collect job search results and employer presentations. Combine French vacancy information with the employer's published workforce, remote policy and benefits for recruitment qualification.
| Collection | What you receive |
|---|---|
| HelloWork jobs scraper | Records containing job titles, employers, locations, published pay, skills, ready for vacancy discovery and hiring-demand research. |
| HelloWork employer profile scraper | Published employer presentation data identified through the job URL or ID. |
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 and published benefits.
- Dates and hiring activity: Publication and update information and advertised openings.
How to scrape HelloWork 🚀
- Choose Job Search in What to collect, or select another collection mode.
- Fill in the search fields, or paste links to the items you want to collect.
- Set the maximum results and any optional filters.
- Start the Actor and review the collected rows.
- Export the dataset or connect it to your application.
HelloWork jobs scraper — input example
{"mode": "hellowork-job-search","query": "comptable","location": "Paris","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.
HelloWork employer profile scraper — input example
{"mode": "hellowork-company-profile","companyUrls": ["https://www.hellowork.com/fr-fr/emplois/83375298.html"],"maxResults": 10}
HelloWork 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 and published benefits. |
| 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.
HelloWork jobs scraper — complete JSON result
{"result_type": "hellowork-job-search","input": "https://www.hellowork.com/fr-fr/emploi/ville_paris-75000.html","status": "success","id": "83569833","url": "https://www.hellowork.com/fr-fr/emplois/83569833.html","description": null,"title": "Stage de Vente Conventionné 35H - Bastille H/F","company_name": "Dr Martens France","company_id": null,"company_url": null,"location": "Paris 11e - 75","contract": "Stage","salary_text": "4","salary_min": null,"salary_max": null,"currency": null,"salary_period": null,"description_html": null,"profile_description": null,"profile_description_html": null,"company_description": null,"posted_at": null,"application_url": null,"remote_work": null,"working_time": null,"skills": [],"latitude": null,"longitude": null,"is_full_description": false,"experience": null,"education": null,"vacancies": null}
HelloWork employer profile scraper — complete JSON result
{"result_type": "hellowork-company-profile","input": "https://www.hellowork.com/fr-fr/emplois/83375298.html","status": "success","id": "61511","url": "https://www.hellowork.com/fr-fr/entreprises/skills-rh-61511.html","name": "Skills Paris","job_id": "83375298","company_context_id": "202255","description": "Créé en 2012, SKILLS est un cabinet de placement et de recrutement spécialisé dans les fonctions support et financières.","employees": "50 à 250","average_age": "27 ans","remote_policy": "Pas de télétravail","benefits": ["Accès à des offres exclusives","Gain de temps : on vous propose les offres qui vous correspondent","Notre double expertise : métiers & géographique","Accompagnement personnalisé : Coaching, préparation aux entretiens","Un accès direct aux décisionnaires des entreprises.","Votre candidature bénéficie de l’appui de nos consultants experts","Nous vous aidons à négocier un salaire juste et des avantages clés."],"profile_text": "Skills Paris En savoir plus Présentation Créé en 2012, SKILLS est un cabinet de placement et de recrutement spécialisé dans les fonctions support et financières. Qui sommes-nous ? Salariés 50 à 250 Moyenne d'âge 27 ans Politique de télétravail Pas de télétravail Raisons de nous rejoindre Accès à des offres exclusives Gain de temps : on vous propose les offres qui vous correspondent Notre double expertise : métiers & géographique Accompagnement personnalisé : Coaching, préparation aux entretiens Un accès direct aux décisionnaires des entreprises. Votre candidature bénéficie de l’appui de nos consultants experts Raisons de nous rejoindre Accès à des offres exclusives Gain de temps : on vous propose les offres qui vous correspondent Notre double expertise : métiers & géographique Accompagnement personnalisé : Coaching, préparation aux entretiens Un accès direct aux décisionnaires des entreprises. Votre candidature bénéficie de l’appui de nos consultants experts Nous vous aidons à négocier un salaire juste et des avantages clés. 0 / 3"}
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. |
Location (location) | City or region to search in. Leave empty to search all locations. For Job Search. |
Company page links (companyUrls) | Paste one link per line. Example: https://www.hellowork.com/fr-fr/emplois/83375298.html For Company Profile. |
| Collection mode | Fields to use |
|---|---|
| Company Profile | Company page links |
| Job Search | Job title or keywords, Location |
The result limit applies separately to each search or supplied link. Collection ends earlier when no more matching results are available.
HelloWork scraping use cases 🎯
Hiring activity monitoring
Run repeat collections of HelloWork listings and compare vacancy titles and original links over time to identify newly advertised roles and changes in hiring activity.
Advertised compensation research
Compare the compensation published in HelloWork records. Keep the original salary text, units and available pay-period context when preparing recruitment or labour-market reports.
Employer qualification
Research organisations listed on HelloWork before adding them to recruitment or partnership lists. Retain their published identity, company description and available hiring context with the original profile link.
Skills demand analysis
Analyse the skills, experience or qualifications actually published in HelloWork records to compare hiring requirements across role groups and prepare recruitment briefs.
Working-condition comparison
Compare the contract, schedule or benefit information published in HelloWork 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
failedrow 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. maxResultscaps 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.
HelloWork scraper API and integrations 🔌
Replace $ACTOR_ID with the ID shown in the Actor API tab and $APIFY_TOKEN with your token.
curl -X POST "https://api.apify.com/v2/acts/$ACTOR_ID/runs?token=$APIFY_TOKEN" \-H "Content-Type: application/json" \-d '{"mode":"hellowork-job-search","query":"comptable","location":"Paris","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.
Company Profile takes a job URL or ID whose advertisement exposes an employer presentation. It does not take arbitrary company names.
HelloWork 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 HelloWork?
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.
Which inputs and filters does this Actor support?
Company Profile takes a job URL or ID whose advertisement exposes an employer presentation. It does not take arbitrary company names.
What employer information can I collect?
Use the company mode to collect the public employer fields listed in the output section. The available profile data depends on what each organisation publishes on HelloWork.
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 HelloWork information lawfully and responsibly. Follow applicable privacy, copyright, data-protection, contractual and platform requirements when storing, analyzing or redistributing results.