🚀 F6S Companies Directory Scraper

🚀 Export F6S companies records in seconds. Pull the full directory directly into your spreadsheet, CRM, or warehouse.

The F6S Companies Directory Scraper turns the public F6S companies directory into a clean, structured dataset. It calls the public listing endpoint, parses the response, and flattens each record into one tidy row.

Coverage spans the full public listing surfaced by the source, normalized into 12 stable fields per record so the data drops straight into pandas, BigQuery, Airtable, or any BI tool.

🎯 Target Audience	💡 Primary Use Cases
📊 Analysts	Build a snapshot of the F6S companies ecosystem
🏢 Sales teams	Enrich CRM records with verified contact attributes
🧑‍🔬 Researchers	Run quantitative studies across the full directory
🤖 ML engineers	Build training datasets from a clean public source
📰 Journalists	Verify facts and surface trends
👩‍💻 Developers	Mirror the directory into a database without writing client code

📋 What the F6S Companies Directory Scraper does

• Calls the public F6S companies listing endpoint.
• Applies any filters you pass (keyword, country, stage, etc.).
• Flattens each record into one row with stable field names.
• Surfaces upstream errors and rate-limit notes as a clean error record instead of crashing.
• Exports as a structured dataset that downloads in every Apify-supported format.

💡 Why it matters: the source surfaces F6S companies records as paginated HTML and ad-hoc XHR responses. This actor normalizes everything into stable rows so the data drops straight into your stack.

📊 Data fields

Each record includes: description, industry, location, name, query, scrapedAt, source, url. All 8 field names come from a real production run, so what you see here is what lands in your dataset.

⚠️ Good to Know: the actor scrapes only publicly available records. Some directory endpoints return data only when a query or filter is supplied. If your run returns zero records, try setting a filter such as keyword.

🚀 How to use

1. Click Try for free.
2. (Optional) Set any of the filter fields to narrow your run.
3. Set maxItems to the number of records you want.
4. Click Start. Within seconds, your dataset is ready and downloadable.

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💡 Pro Tip: browse the complete ParseForge collection for 900+ production-grade scrapers across business intelligence, real estate, e-commerce, sports, finance, and public records.

Disclaimer. This actor scrapes only publicly available data. ParseForge is not affiliated with, endorsed by, or sponsored by any of the third-party services referenced. Users are responsible for complying with the target site's terms of service and applicable law. Create a free account w/ $5 credit.

🆘 Need Help?

If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our contact form or write to parseforge@protonmail.com. We also take on paid custom data projects.

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