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Gowork Reviews Scraper

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from $1.00 / 1,000 record scrapeds

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Gowork Reviews Scraper

Gowork Reviews Scraper

Scrapes employee reviews from GoWork.fr with full pagination, date filtering, review cap, deduplication, and residential proxy support.

Pricing

from $1.00 / 1,000 record scrapeds

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Reviewly

Reviewly

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GoWork.fr Reviews Scraper — Extract Employee Reviews at Scale

The fastest way to collect company reviews from GoWork.fr — no API key, no manual copy-paste, no limits.

Extract employee reviews, ratings, company metadata, and employer responses from any GoWork.fr company page in minutes. Perfect for HR analysts, researchers, reputation management agencies, and recruiters who need structured review data at scale.

  • ✅ Scrapes reviews, ratings, replies, and company info in one run
  • ✅ Filter by date or cap at a maximum number of reviews
  • ✅ Uses residential proxies — built for reliability, not blocked by GoWork.fr
  • ✅ Pay only for what you scrape (per-review pricing)

📌 What This Actor Does

GoWork.fr is one of France's leading employee review platforms, similar to Glassdoor. Companies accumulate hundreds or thousands of employee reviews that are invaluable for competitive intelligence, HR benchmarking, and reputation monitoring.

This Apify Actor automates the extraction of that data. You provide one or more GoWork.fr company URLs, and the Actor returns a clean, structured dataset containing every review — including the reviewer's role, their experience date, their rating, and any official company response.

Who is this for?

  • HR & Talent teams benchmarking employer brand vs. competitors
  • Reputation management agencies monitoring client profiles on GoWork
  • Recruiters researching company culture before approaching candidates
  • Market researchers & analysts studying employee sentiment trends
  • Developers building HR dashboards or review aggregators

✨ Key Features

  • Multi-URL support — scrape dozens of companies in a single run
  • Full pagination — automatically navigates all review pages, not just the first
  • Date filtering — set a targetDate to only collect recent reviews; stops pagination the moment it reaches older content (no wasted compute)
  • Review cap — set maxNumberOfReviews to limit exactly how many reviews you collect per company
  • Employer replies included — captures official company responses to reviews
  • Role extraction — captures the reviewer's job role/position
  • Experience date — includes both the review publication date and the date the employee actually worked there
  • Duplicate-safe — built-in deduplication prevents the same review from appearing twice
  • Residential proxies — runs through French residential IPs for high success rates
  • Exponential backoff — automatically retries failed requests up to 10 times with smart delays, so temporary blocks don't kill your run
  • Only rated reviews — filters out unrated posts automatically, so your dataset stays clean

🧠 Why This Actor is Different

Most scrapers break the moment a site updates its layout. This Actor reads GoWork.fr's internal Nuxt.js data payload directly — the same structured JSON the site uses to render the page — rather than brittle CSS selectors. That means:

  • Higher data fidelity — you get the raw, structured data, not text scraped from HTML
  • Less breakage — visual layout changes don't affect the data extraction layer
  • Richer fields — fields like role, happeningDate, and ratingDetails are available because they exist in the payload, not just what's visible on screen

Other advantages:

FeatureThis ActorGeneric scrapers
Residential proxies (FR)✅ Built-in❌ Manual setup
Date boundary stopping✅ Stops mid-pagination❌ Scrapes all, then filters
Employer reply capture❌ Often missed
Per-review pricing✅ Pay only for results❌ Fixed cost regardless
Exponential retry backoff✅ Up to 10 retries❌ Single attempt

⚙️ Input Configuration

Fields

FieldTypeRequiredDefaultDescription
startUrlsarray✅ YesList of GoWork.fr company review page URLs
maxNumberOfReviewsnumber❌ No0 (no limit)Maximum reviews to collect per company. 0 means collect all.
targetDatestring❌ NonullStop collecting reviews older than this date. Format: YYYY-MM-DD
proxyConfigurationobject❌ No{}Proxy options (see below)

proxyConfiguration Options

FieldTypeDefaultDescription
apifyProxyCountrystring"FR"Country code for the residential proxy exit node. Keep FR for best results on GoWork.fr.

Example Input

{
"startUrls": [
{ "url": "https://gowork.fr/shopadora-paris" },
],
"maxNumberOfReviews": 200,
"targetDate": "2024-01-01",
"proxyConfiguration": {
"apifyProxyCountry": "FR"
}
}

Tips for Best Results

  • Use the /avis page URL — the reviews tab URL (e.g., https://gowork.fr/amazon-aubervilliers) works best
  • Set targetDate for incremental runs — run weekly with last week's date to collect only new reviews
  • Leave maxNumberOfReviews at 0 if you want the full history of a company
  • Keep apifyProxyCountry as FR — GoWork.fr is a French platform; French exit IPs get the best success rates

📤 Output Format

Each dataset record corresponds to one company and contains its metadata alongside all collected reviews.

Structure

{
"entity": {
"keyword": "Amazon",
"id": 12345,
"slug": "amazon",
"totalRating": 3.2,
"totalRatedReviews": 312,
"totalReviews": 418,
"url": "https://gowork.fr/amazon-aubervilliers",
"ratingDetails": [
{ "1": 45 },
{ "2": 38 },
{ "3": 72 },
{ "4": 89 },
{ "5": 68 }
]
},
"reviews": [
{
"title": "Good environment but management needs work",
"reviewBody": "Good environment but management needs work. The team is great but decisions come from the top without transparency.",
"author": {
"userName": "WarehouseWorker92"
},
"dateCreated": "15-04-2024 00:00",
"experienceDate": "01-01-2024 00:00",
"reviewId": 987654,
"url": "https://gowork.fr/amazon-aubervilliers/review/987654",
"rating": 3,
"role": "Préparateur de commandes",
"replies": [
{
"id": 111222,
"message": "Thank you for your feedback. We are continuously working to improve communication at all levels.",
"replyDate": "20-04-2024 00:00",
"author": {
"userName": "AmazonRH"
}
}
]
}
]
}

Field Reference

entity object:

FieldDescription
keywordCompany name as listed on GoWork.fr
idGoWork internal company ID
slugURL slug (e.g., amazon)
totalRatingOverall average rating (e.g., 3.2)
totalRatedReviewsNumber of reviews that include a star rating
totalReviewsTotal posts including unrated ones
urlCanonical GoWork.fr URL for the company
ratingDetailsBreakdown of review counts per star score (1–5)

Each review object:

FieldDescription
titleFirst 200 characters of the review body (auto-generated)
reviewBodyFull review text
author.userNameReviewer's GoWork username/nickname
dateCreatedDate the review was published (DD-MM-YYYY HH:mm)
experienceDateDate the employee actually worked at the company
reviewIdUnique GoWork review ID
urlDirect link to the review page
ratingStar rating (1–5)
roleJob title/role declared by the reviewer
repliesArray of employer responses (empty array if none)

▶️ How to Use

Option 1 — Apify Console (No Code)

  1. Open the Actor on Apify Store
  2. Click Try for free
  3. In the Input tab, paste your GoWork.fr company URLs under startUrls
  4. Optionally set maxNumberOfReviews or targetDate
  5. Click Start and wait for the run to finish
  6. Go to the Dataset tab to view, filter, and export your data (JSON, CSV, Excel)

Option 2 — Apify API

curl -X POST \
"https://api.apify.com/v2/acts/YOUR_ACTOR_ID/runs?token=YOUR_API_TOKEN" \
-H "Content-Type: application/json" \
-d '{
"startUrls": [
{ "url": "https://gowork.fr/amazon-aubervilliers"
}
],
"maxNumberOfReviews": 100,
"targetDate": "2024-01-01"
}'

Option 3 — Schedule for Automated Monitoring

  1. Go to Schedules in your Apify account
  2. Create a new schedule (e.g., every Monday at 8:00 AM)
  3. Attach this Actor with your desired input
  4. Connect the output dataset to a webhook or Google Sheets integration

📈 Use Cases

1. Employer Brand Monitoring

Track how your company's reputation evolves on GoWork.fr month over month. Feed the data into a dashboard to visualize rating trends, sentiment shifts, and response rates.

2. Competitive HR Intelligence

Scrape reviews for 10–20 competitors in your industry. Identify recurring complaints (management, salary, work-life balance) to sharpen your own EVP (employer value proposition).

3. Recruiting Research

Before approaching candidates at a target company, understand the internal culture through employee reviews. Use the role field to filter feedback from specific job functions.

4. Reputation Management Campaigns

For agencies managing client profiles, run weekly scrapes with targetDate set to the previous week. Alert clients to new negative reviews within hours of posting.

5. Sentiment Analysis & NLP Pipelines

Export the reviewBody field to feed into sentiment analysis models, LLMs, or topic clustering tools to extract structured insights from unstructured employee feedback.


🛠️ Advanced Tips

Set targetDate to the date of your last scrape. The Actor will stop pagination the moment it hits reviews older than that date — saving compute time and cost.

{
"targetDate": "2025-05-01"
}

Scraping Multiple Companies Efficiently

Add all company URLs to startUrls in a single run. The Actor processes them sequentially, each with a fresh residential proxy, so you never get rate-limited across companies.

{
"startUrls": [
{ "url": "https://gowork.fr/shopadora-paris" },
{ "url": "https://gowork.fr/amazon-aubervilliers" },
]
}

Proxy Country

GoWork.fr is a French platform. Always keep apifyProxyCountry as "FR" (the default) for maximum reliability. Changing it to another country may increase block rates.

Controlling Costs

Use maxNumberOfReviews to control exactly how many reviews you pay for per company. For example, if you only need the 50 most recent reviews for a quick pulse check, set "maxNumberOfReviews": 50.


❓ FAQ / Troubleshooting

Q: The run finished but the dataset is empty. What happened?

The Actor may have failed to parse the page. This usually happens when GoWork.fr changes its Nuxt data structure. Check the run logs for error while parsing nuxt payload. If you see this, please open an issue (see Support below) with the company URL — this is typically a quick fix.

Q: Some reviews are missing. Why?

The Actor only collects reviews with a star rating (rating > 0). GoWork.fr allows users to post without giving a score; those posts are excluded to keep the dataset clean. The totalReviews field in entity may therefore be higher than the number of reviews in your dataset.

Q: Can I scrape in languages other than French?

GoWork.fr is a French platform, so almost all content is in French. The Actor collects whatever text is on the page — no translation is applied.

Q: How does targetDate interact with maxNumberOfReviews?

Both limits are applied simultaneously. The Actor stops as soon as either condition is met — whichever comes first.

Q: Does the Actor handle anti-bot measures?

Yes. It uses French residential proxies, real browser fingerprints via Impit (Chrome), and randomized delays between page requests (200–700ms). Failed requests are retried up to 10 times with exponential backoff.

Q: Is this against GoWork.fr's Terms of Service?

This Actor accesses publicly available data — the same reviews any visitor can read in their browser. Users are responsible for ensuring their use of scraped data complies with applicable laws and platform terms in their jurisdiction.

Q: Can I export to Excel or Google Sheets?

Yes. Once the run is complete, go to the Dataset tab in Apify and use the Export button to download CSV, JSON, Excel, or XML. You can also connect to Google Sheets via Apify's native integration.


📞 Support

Have a question, found a bug, or need a custom feature?

  • 📧 Email: me@ahmedhrid.com
  • 🐛 Report issues: Use the Issues tab on the Actor's Apify Store page

Response time is typically within 24–48 hours on business days.