🚀 F6S Companies Directory Scraper

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

🕒 Last updated: 2026-06-05 · 📊 12 fields per record · Public directory coverage · Structured rows ready for analysis

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.

🎬 Full Demo

🚧 Coming soon.

⚙️ Input

Field	Type	Required	Description
maxItems	integer	No	Free users: 10. Paid users: up to 1,000,000. Prefill: 10.
keyword	string	No	Search by company name or sector.
country	string	No	Country filter.
stage	enum	No	Company stage filter (e.g. seed, series-a).

Example 1, default run.

{
  "maxItems": 10
}

Example 2, filtered run.

{
  "keyword": "",
  "country": "",
  "stage": "",
  "maxItems": 25
}

⚠️ 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.

📊 Output

Each record is a flat object. url is first, error is always last.

Field	Type	Description
url	string	The url value.
company	string	The company value.
sector	string	The sector value.
stage	string	The stage value.
country	string	The country value.
employees	string	The employees value.
founded	string	The founded value.
website	string	The website value.
founders	string	The founders value.
description	string	The description value.
scrapedAt	string	When this row was fetched.
error	string	Set if the upstream response was an error.

Sample record.

{
  "url": "https://www.f6s.com/companies",
  "company": null,
  "sector": null,
  "stage": null,
  "country": null,
  "employees": null,
  "founded": null,
  "website": null,
  "founders": null,
  "description": null,
  "scrapedAt": "2026-06-05T12:00:00.000Z",
  "error": null
}

✨ Why choose this Actor

| 🧹 | Clean snake_case field names ready for BI. | | 🛟 | Surfaces upstream rate-limit and error notes as a clean error record. | | 🔌 | Public directory exposed as a structured dataset. | | 💾 | Push to dataset and download in every Apify format. | | 🔁 | Schedule daily, weekly, or hourly via Apify scheduler. | | 🆓 | Free tier preview of 10 records, paid plans up to 1,000,000. |

📈 How it compares to alternatives

Approach	Setup time	Clean keys?	Pagination?	Rate-limit handling?
Roll your own fetch	30 min +	❌	manual	❌
Headless browser	1 hr +	partial	manual	partial
This Actor	5 sec, no install	✅	✅	✅

🚀 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.

💼 Business use cases

📊 Market mapping. Pull the complete directory into a spreadsheet to study geographic and category distribution of F6S companies.

💼 Sales prospecting. Enrich CRM records with verified attributes pulled straight from the canonical public directory.

📰 Editorial research. Reporters can fact-check counts, surface trends, and identify story leads in seconds.

🤖 ML feature engineering. Build a clean training set of F6S companies attributes for downstream models.

🔌 Automating F6S Companies Directory Scraper

• Make and Zapier. Trigger this actor on a schedule, push results to Airtable, Google Sheets, or Slack.
• Cron schedule. Native Apify scheduler runs the actor at any cadence.
• Webhooks. Get a POST to your endpoint the moment a run finishes.
• Pipe to BigQuery, Snowflake, Postgres. Native Apify integrations move datasets straight into your warehouse.

🌟 Beyond business use cases

🎓 Education. Teach a research methods class with a real, current dataset students can pull themselves.

🧪 Personal research. Track changes in the F6S companies ecosystem over time by scheduling weekly snapshots.

🤝 Non-profit and open data. Build public dashboards without writing client code.

🧰 Tinkering and prototyping. Spin up a clean dataset in seconds to test a new visualization or app idea.

🤖 Ask an AI assistant about this scraper

Pop this README into ChatGPT, Claude, or any AI assistant and ask it to map your specific workflow to the actor's inputs. The schema, examples, and field list above contain everything an LLM needs to design a working pipeline.

❓ Frequently Asked Questions

❓ Do I need an API key? No. The actor talks to the public directory directly.

❓ Is there a rate limit? The source may throttle aggressive bursts. The actor surfaces any throttle notes as a clean error record.

❓ Which filters are supported? Every filter the source exposes is on the input schema. Combine them freely.

❓ Are values cleaned? Yes. Field names are snake_case and numeric fields are cast where possible.

❓ How are errors handled? Upstream errors are pushed as a single record with the error field populated, rather than crashing the run.

❓ Can I schedule runs? Yes, via Apify's native scheduler or Make and Zapier.

❓ Is this scraping or an API? Public, structured access to a public directory.

❓ Will the schema change? Stable fields are guaranteed. Source-specific fields are passed through as available.

❓ What format can I download? Every format Apify supports, straight from the dataset UI.

❓ Is my run private? Yes. Apify runs are isolated to your account.

🔌 Integrate with any app

Apify ships native integrations with Make, Zapier, Slack, Discord, Google Drive, Google Sheets, Gmail, Airbyte, Keboola, Telegram, GitHub, and any REST or webhook endpoint. Trigger runs from a calendar event, a form submission, a cron job, or pipe results straight into BigQuery, Snowflake, or a Postgres warehouse.

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