GoWork Scraper — Company Reviews, Ratings & Contacts

What does GoWork Scraper do?

GoWork Scraper extracts structured company data from gowork.fr — including contact details, location data, and seller ratings. It supports keyword search, location filters, and controllable result limits, so you can run the same query consistently over time. The actor also offers detail enrichment (company metadata and contact information) where the source provides them.

New to Apify? Sign up free and use the included $5 monthly platform credit to test this actor.

Key features

• 🏢 Employer details: employerName, companyName and companyUrl name the employer behind each record.
• ⭐ Ratings and review counts: reviewCount, ratingCount and rating for every record that has them.
• 🏘️ Address: postalCode, address and city as separate fields for every record that lists them.
• 📇 Contact details: phoneNumber, website, email and phone where the record publishes them.
• 🌍 Region selection: Choose France, Spain, Germany, Italy and United Kingdom with the country input.
• 🔍 Keyword search: search gowork.fr by keyword with the query input, in the place you name in location.
• 🧭 Radius search: search around a point with lat, lon and radiusKm.
• 🔗 Paste-mode: paste gowork.fr URLs into startUrls to scrape exactly the pages you picked in the browser.
• ♻️ Incremental mode: recurring runs emit only directory entries that are new or updated — keep your supplier-outreach lists fresh without re-fetching the full directory. Saves 80–95% on weekly syncs.
• 🔔 Notifications: Telegram, Slack, Discord, WhatsApp Cloud API, and generic webhook out of the box. Pair with incremental for daily new-listing alerts without pipeline glue.

What data can you extract from gowork.fr?

Each result includes Core company fields (recordType, tradeName, slug, website, address, city, region, and postalCode, and more), detail fields when enrichment is enabled (description and detailFetched), contact information (email, phone, and phoneNumber), and company metadata (companyId, companyName, companySlug, and companyUrl). In standard mode, all fields are always present — unavailable data points are returned as null, never omitted. In compact mode, only core fields are returned.

Enable detail enrichment in the input to get richer fields such as company metadata and contact information where the source provides them.

Input

The main inputs are a search keyword, an optional location filter, and a result limit. Additional filters and options are available in the input schema.

Key parameters:

• query — Company name or keyword to search for. Use * or leave empty with a city to list all companies.
• location — Optional city to narrow the search (e.g. Paris).
• country — Which GoWork site to search. (default: "fr")
• maxResults — Maximum number of companies to return (0 = unlimited). Reviews are set separately and do not count towards this number. (default: 100)
• startUrls — Paste GoWork company pages (for example https://gowork.fr/carrefour) or search pages from any of the five sites. A company page returns that company and its reviews; a search page runs that search. Unsupported links are skipped with a warning. When provided, start URLs replace the query and city fields. (default: [])
• includeDetails — Fetch each company profile for the rating breakdown, region and registry details. (default: true)
• includeReviews — Return each company's employee reviews as separate rows (record type "review") that carry the company name and ID. Turn off for company profiles only. (default: true)
• maxReviewsPerCompany — How many reviews to return for each company. 0 = every review. (default: 20)
• onlyRatedReviews — Skip reviews that carry no star rating. (default: false)
• reviewsStartDate — Only return reviews written on or after this date (YYYY-MM-DD).
• descriptionMaxLength — Truncate description to N chars. 0 = no truncation. (default: 0)
• compact — Core fields only (for AI-agent/MCP workflows). (default: false)
• ...and 22 more parameters

Input examples

Basic search — Keyword-driven search with a result cap.

→ Full payload per result — all standard fields populated where the source provides them.

{
  "query": "carrefour",
  "maxResults": 50
}

Incremental tracking — Only emit records that changed since the previous run with this stateKey.

→ First run builds the baseline state. Subsequent runs emit only records that are new or whose tracked content changed. Set emitUnchanged: true to include unchanged records as well.

{
  "query": "carrefour",
  "maxResults": 200,
  "incrementalMode": true,
  "stateKey": "carrefour-tracker"
}

Compact output for AI agents — Return only core fields for AI-agent and MCP workflows.

→ Small payload with the most important fields — ideal for piping into LLMs without token overhead.

{
  "query": "carrefour",
  "maxResults": 50,
  "compact": true
}

Output

Each run produces a dataset of structured company records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

Example company record

{
  "recordType": "company",
  "companyId": "649aee8c-bdf1-4ca2-eb16-83686d1a7927",
  "companyName": "CARREFOUR CONTACT",
  "tradeName": "Commerce",
  "slug": "carrefour-contact-hoerdt",
  "companySlug": "carrefour-contact-hoerdt",
  "companyUrl": "https://gowork.fr/carrefour-contact-hoerdt",
  "description": "Très reactif, service impeccable, rayon jamais vide et rayo...",
  "website": "https://www.carrefour.fr",
  "phone": "+33 3 88 51 78 20",
  "address": "108 RUE DE LA REPUBLIQUE, 67720 HOERDT",
  "city": "Hœrdt",
  "region": "Grand Est",
  "businessArea": "Supermarchés",
  "activityCode": "4711D",
  "taxId": "808754337",
  "overallRating": 3.9,
  "reviewCount": 89,
  "ratingCount": 13,
  "ratingDistribution": {
    "1": 2,
    "2": 1,
    "3": 1,
    "4": 1,
    "5": 8
  },
  "reviewsType": "mixed",
  "lastReviewDate": "2026-10-06T08:28:53",
  "isGold": false,
  "multiCity": false,
  "countryCode": "fr",
  "language": "fr",
  "scrapedAt": "2026-10-18T22:20:12.166Z",
  "listingId": "8724dc88c65752bd69a6672ef5acffdf63995a5372ec6a6a673de3421895d7bd",
  "profileUrl": "https://gowork.fr/carrefour-contact-hoerdt",
  "employerName": "CARREFOUR CONTACT",
  "phoneNumber": "+33 3 88 51 78 20",
  "streetLine": "108 RUE DE LA REPUBLIQUE, 67720 HOERDT",
  "cityName": "Hœrdt",
  "regionName": "Grand Est",
  "sectorName": "Supermarchés",
  "ratingsTotal": 13,
  "reviewsTotal": 89,
  "starSplit": {
    "1": 2,
    "2": 1,
    "3": 1,
    "4": 1,
    "5": 8
  },
  "pageSummary": "Très reactif, service impeccable, rayon jamais vide et rayo...",
  "portalUrl": "https://gowork.fr/carrefour-contact-hoerdt",
  "collectedAt": "2026-10-18T22:20:12.166Z",
  "searchQuery": "carrefour",
  "contentQuality": "full",
  "detailFetched": true,
  "source": "gowork.fr"
}

Incremental fields

When incremental mode is on, each record also carries:

• changeType — one of NEW, UPDATED, UNCHANGED, REAPPEARED. Default output covers NEW / UPDATED / REAPPEARED; set emitUnchanged: true to opt into the others.
• isRepost, repostOfId, repostDetectedAt — populated when a new listing matches the tracked content of a previously expired one. Set skipReposts: true to drop detected reposts from the output.

How to scrape gowork.fr

1. Go to GoWork Scraper in Apify Console.
2. Enter a search keyword and optional location filter.
3. Set maxResults to control how many results you need.
4. Enable includeDetails if you need contact info.
5. Click Start and wait for the run to finish.
6. Export the dataset as JSON, CSV, or Excel.

Use cases

• Extract company data from gowork.fr for market research and competitive analysis.
• Monitor new and changed records on scheduled runs without processing the full dataset every time.
• Use structured location data for regional analysis, mapping, and geo-targeting.
• Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
• Export clean, structured data to dashboards, spreadsheets, or data warehouses.
• Benchmark seller / dealer reputation using rating fields.

How much does it cost to scrape gowork.fr?

GoWork Scraper uses pay-per-event pricing. You pay a small fee when the run starts and then for each result that is actually produced.

• Run start: $0.0081 per run
• Per result: $0.0009 per company record

Example costs:

• 10 results: $0.017
• 25 results: $0.031
• 100 results: $0.098
• 200 results: $0.19
• 500 results: $0.46

Example: recurring monitoring savings

These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of records that are new or whose tracked content changed since the previous run. Actual churn depends on your query breadth, source activity, and polling frequency — the scenarios below are examples, not predictions.

Example setup: 250 records per run, daily polling (30 runs/month). Costs scale linearly with the number of records.

Churn rate	Full re-scrape run cost	Incremental run cost	Savings vs full re-scrape	Monthly cost after baseline
5% — stable niche query	$0.23	$0.02	$0.21 (92%)	$0.58
15% — moderate broad query	$0.23	$0.04	$0.19 (82%)	$1.26
30% — high-volume aggregator	$0.23	$0.08	$0.16 (68%)	$2.27

Full re-scrape monthly cost at the same cadence: $6.99. First month with incremental costs $0.79 / $1.45 / $2.43 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply.

Platform usage is included in the per-result fee shown above.

FAQ

How many results can I get from gowork.fr?

The number of results depends on the search query and available records on gowork.fr. Use the maxResults parameter to control how many results are returned per run.

Does GoWork Scraper support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed records on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset.

Can I integrate GoWork Scraper with other apps?

Yes. GoWork Scraper works with Apify's integrations to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

Can I use GoWork Scraper with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the Apify API. Client libraries are available for JavaScript, Python, and other languages.

Can I use GoWork Scraper through an MCP Server?

Yes. Apify provides an MCP Server that lets AI assistants and agents call this actor directly. Use compact mode, descriptionMaxLength, a single descriptionFormat, and excludeEmptyFields to keep payloads manageable for LLM context windows.

Is it legal to scrape gowork.fr?

This actor extracts publicly available data from gowork.fr. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.

Your feedback

If you have questions, need a feature, or found a bug, please open an issue on the actor's page in Apify Console. Your feedback helps us improve.

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Getting started with Apify

New to Apify? Create a free account with $5 credit — no credit card required.

1. Sign up — $5 platform credit included
2. Open this actor and configure your input
3. Click Start — export results as JSON, CSV, or Excel

Need more later? See Apify pricing.

Disclaimer

This actor accesses only publicly available data on gowork.fr. You are responsible for how you use the extracted data — in particular any personal information such as names, phone numbers, or email addresses — and for complying with GoWork's terms of use, applicable data-protection law (including the GDPR where it applies), and the anti-spam rules of your jurisdiction.

This actor is an independent tool and is not affiliated with, endorsed by, or sponsored by GoWork or any of its subsidiaries. All trademarks mentioned are the property of their respective owners.

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