GoWork Company Scraper

Checking what employees say about a company on GoWork.fr usually means opening each profile and reading down the page: the rating, the address, the phone number, every review. This scraper hands you all of it as clean rows. Paste a GoWork profile link and you get back the employer name, contact details, star rating, the star-by-star breakdown, and the full list of employee reviews, already split into fields for a spreadsheet or a model. It's quick, cheap, code-free, and you only pay for what you pull.

What you get

Each company profile comes back as one row, grouped into three kinds of data:

• Identity and contact — employerName, phoneNumber, siteUrl, logoLink, plus the profileUrl it came from
• Location and sector — streetLine, cityName, regionName, countryCode, sectorName
• Ratings and reviews — overallRating, ratingsTotal, reviewsTotal, starSplit, employeeReviews, pageSummary, and collectedAt

Quick start

1. Open gowork.fr, search for a company, and copy its profile link from the address bar.
2. Hit Try for free and paste that link into Profile URLs. Add as many companies as you want.
3. Adjust Timeout (seconds) only if you run into slow requests.
4. Press Start, then export the results as JSON, CSV, Excel, or XML.

Use cases

• Employer research — read what staff say before a partnership, a deal, or an application
• Reputation tracking — watch a company's rating and review count shift over time
• Recruitment benchmarking — line up employers in one sector or region side by side
• Market research — build a dataset of French employer reputation for analysis
• Spreadsheet handoff — get GoWork data into a sheet without copying it by hand

Input

Field	Type	Required	Description
profileUrls	array of strings	Yes	GoWork.fr company profile links to scrape. Add as many as you like. Prefilled with a Decathlon France profile.
timeoutSeconds	integer	No	Seconds to wait on each request before giving up. Default 45.

Example input

{
    "profileUrls": [
        "https://gowork.fr/decathlon-france",
        "https://gowork.fr/air-france"
    ],
    "timeoutSeconds": 45
}

Output

Each profile you pass becomes one row. Fields GoWork does not show for a given company come back null rather than guessed, and a link that fails still produces a row with errorMessage set so the run keeps going.

Example output

{
    "profileUrl": "https://gowork.fr/decathlon-france",
    "employerName": "Decathlon France",
    "phoneNumber": "+33 3 20 33 50 00",
    "logoLink": "https://gowork.fr/assets/images/company/decathlon-150.png",
    "siteUrl": "https://www.decathlon.fr",
    "streetLine": "4 Boulevard de Mons, 59650 Villeneuve-d'Ascq, France",
    "cityName": "Villeneuve-d'Ascq",
    "regionName": "Hauts-de-France",
    "countryCode": "FR",
    "sectorName": "Commerce de détail",
    "overallRating": 3.8,
    "ratingsTotal": 412,
    "reviewsTotal": 187,
    "starSplit": {
        "5": 41.2,
        "4": 22.5,
        "3": 14.8,
        "2": 9.1,
        "1": 12.4
    },
    "employeeReviews": [
        {
            "author": "Camille",
            "datePublished": "12-05-2025 09:42",
            "reviewBody": "Bonne ambiance d'équipe, horaires parfois chargés le week-end.",
            "ratingValue": 4
        }
    ],
    "pageSummary": "Avis sur Decathlon France à Villeneuve-d'Ascq...",
    "collectedAt": "2026-06-29T12:00:00.000000+00:00",
    "errorMessage": null
}

Output fields

Field	Type	Description
profileUrl	string	The GoWork profile link the row was pulled from
employerName	string	Company name on the profile
phoneNumber	string	Contact phone listed for the employer
logoLink	string	URL of the company logo image
siteUrl	string	Link to the company's own website
streetLine	string	Full street address
cityName	string	Town or city
regionName	string	Administrative region, e.g. Hauts-de-France
countryCode	string	Two-letter country code, e.g. FR
sectorName	string	Industry or sector category
overallRating	number	Average star score from 0 to 5
ratingsTotal	integer	Count of ratings left for the employer
reviewsTotal	integer	Count of written reviews
starSplit	object	Percentage share per star level (keys: "5", "4", "3", "2", "1")
employeeReviews	array	Reviews left by staff (see below)
pageSummary	string	Meta description from the GoWork profile
collectedAt	string	ISO 8601 UTC timestamp of when the row was captured
errorMessage	string or null	Reason the pull failed for this link, otherwise null

Each item in employeeReviews carries:

Field	Type	Description
author	string	Reviewer's display name
datePublished	string	Date the review went up
reviewBody	string	Full text of the review
ratingValue	number	Star score that reviewer gave

Tips for best results

• Copy the exact profile link. The scraper checks that each URL points at gowork.fr and skips anything that doesn't, so paste the link straight from the company page.
• Batch your companies. Drop several profile links in at once; the run works through them one by one and logs any that fail without stopping.
• Reviews come from the page's structured data. The number returned can be smaller than the total shown on GoWork if the page embeds only a subset in its source.
• Expect French text. Review bodies and sector names come back in French, since that's how GoWork publishes them.
• Raise timeoutSeconds if a few requests time out on slower runs.

How can I use GoWork company data?

How can I use the GoWork Company Scraper to research an employer before a deal? Paste the company's GoWork link and read overallRating, reviewsTotal, starSplit, and the employeeReviews text in one pull. You get a quick, honest read on how staff rate the place alongside its address and contact details.

How can I track a company's reputation on GoWork over time? Run the same profile links on a schedule and keep each export. Since every row carries overallRating, ratingsTotal, reviewsTotal, and collectedAt, you can chart how a company's score and review count move week to week.

How can I build a dataset of French employer reviews for research? Feed in a batch of GoWork profile links and export to CSV or Excel. The result is a structured table of employer ratings, sectors, locations, and review text you can sort, filter, and analyse however you need.

Is it legal to scrape data?

Our actors are ethical and do not extract any private user data, such as email addresses or private contact information. They only extract what the user has chosen to share publicly. We therefore believe that our actors, when used for ethical purposes by Apify users, are safe.

However, you should be aware that your results could contain personal data. Personal data is protected by the GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers.

You can also read Apify's blog post on the legality of web scraping.

Support

Questions, feature requests, or a field you'd like added? Reach out at data.apify@proton.me and we'll get back to you.