GoodFirms Companies Directory Scraper
Pricing
from $7.50 / 1,000 results
GoodFirms Companies Directory Scraper
Pull ranked B2B service providers from GoodFirms by category slug, country, and minimum rating. Returns company name, services, location, team size, hourly rate, rating, review count, founded year, and profile URL. Built for vendor discovery, market mapping, and outbound sales prospecting.
Pricing
from $7.50 / 1,000 results
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ParseForge
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2
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1
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3 days ago
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🏅 GoodFirms Companies Directory Scraper
🚀 Export GoodFirms B2B company directories in seconds. Names, services, hourly rates, headcounts, locations, founded year, clients, and ratings, straight from goodfirms.co.
🕒 Last updated: 2026-05-29 · 📊 12 fields per record · Public directory · No login required
The GoodFirms Companies Directory Scraper turns the public GoodFirms directory into a clean, structured dataset. Hand it a search query or a category, and it returns one row per profile with every public field flattened and normalized.
You get 12 fields per record - the same ones a human visitor sees on the public site, just structured so you can drop them straight into Excel, BigQuery, or your CRM.
| 🎯 Target Audience | 💡 Primary Use Cases |
|---|---|
| 🏢 B2B sales teams | Build prospect lists from public directories |
| 📊 Market researchers | Map the competitive landscape |
| 🤖 ML engineers | Build training sets of real-world profiles |
| 📰 Journalists | Source GoodFirms profiles for stories |
| 👩💻 Developers | Mirror GoodFirms listings into your own DB |
| 🧑💼 Recruiters | Find talent, agencies, or vendors at scale |
📋 What the GoodFirms Companies Directory Scraper does
- Calls the public GoodFirms pages and parses the listing HTML or JSON payload.
- Walks pagination and follows each profile link.
- Extracts 12 fields per record - identifiers, contact info, ratings, and metadata.
- Surfaces upstream errors as a clean
errorrecord instead of crashing. - Exports as CSV, Excel, JSON, JSONL, XML, RSS, or HTML.
💡 Why it matters: GoodFirms is a goldmine of public directory data, but the site is built for browsing, not bulk export. This actor turns it into a structured dataset in seconds.
🎬 Full Demo
🚧 Coming soon.
⚙️ Input
| Field | Type | Required | Description |
|---|---|---|---|
category | string | No | GoodFirms category slug (e.g. "mobile-app-development"). |
maxItems | integer | No | Free users: Limited to 10 items (preview). Paid users: Optional, max 1,000,000 |
country | string | No | Optional country filter. |
minRating | number | No | Optional minimum rating (0 to 5). |
Example 1 - default run:
{"category": "mobile-app-development","maxItems": 10,"minRating": 10}
Example 2 - larger pull:
{"category": "mobile-app-development","maxItems": 50}
⚠️ Good to Know: Free users are auto-limited to 10 items per run. Paid users can pull up to 1,000,000 records. Heavy runs may take longer due to GoodFirms's rate limits.
📊 Output
Each record is a flat object. Image URL is first, error is always last.
| Field | Type | Description |
|---|---|---|
🖼️ logoUrl | string | Logo image URL. |
🏢 name | string | Display name. |
🛠️ services | array | Services offered. |
💵 hourlyRate | string | Hourly rate. |
👥 employees | string | Number of employees. |
📍 location | string | Free-text location. |
📆 founded | integer | Year founded. |
🤝 clients | array | Notable clients. |
⭐ rating | number | Average star rating. |
🔗 websiteUrl | string | External website URL. |
🔗 profileUrl | string | Source profile URL. |
🕒 scrapedAt | string | When this row was fetched (ISO 8601). |
❌ error | string | Set if the upstream response was an error. |
Sample record:
{"logoUrl": "https://cdn.example.com/img.jpg","name": "Sample value","services": ["item-1","item-2"],"hourlyRate": "https://example.com","employees": "Sample value","location": "Sample value","founded": 42,"clients": ["item-1","item-2"],"rating": 4.8,"websiteUrl": "https://example.com","profileUrl": "https://example.com","scrapedAt": "2026-05-29T12:00:00.000Z","error": null}
✨ Why choose this Actor
| 🆓 | Free users get 10 items per run to evaluate before upgrading. |
| 🧹 | Cleaned and normalized fields - no scraping artifacts. |
| 🔢 | Numeric fields cast to numbers, dates to ISO, arrays preserved. |
| 🛟 | Upstream errors surfaced as clean error records, never crashes. |
| 🔌 | One input form, one click, dataset ready in seconds. |
| 💾 | Push to dataset → instant CSV / Excel / JSON / XML / RSS / HTML export. |
📈 How it compares to alternatives
| Approach | Setup time | Clean fields? | Pagination? | Rate-limit handling? |
|---|---|---|---|---|
| Manual copy/paste | hours per page | partial | manual | none |
| Roll your own scraper | 4+ hours | ❌ | ❌ | ❌ |
| This Actor | 5 sec, no install | ✅ | ✅ | ✅ |
🚀 How to use
- Click Try for free.
- Fill in the input form (or use prefilled defaults).
- Click Start. Within seconds your dataset is ready - download as CSV, Excel, JSON, or XML, or pipe to your warehouse.
- (Optional) Schedule it to re-run daily, weekly, or on a custom cron.
💼 Business use cases
📊 Lead generation. Build a fresh, structured prospect list from GoodFirms every week. No more manual copy-paste from a browser.
🔍 Competitive intelligence. Track who's listed on GoodFirms, with what services, and at what price point.
🤖 ML feature engineering. Build clean training sets of real-world profiles for matching, ranking, or recommendation models.
📰 Editorial research. Reporters can pull a directory snapshot in 30 seconds, then verify quotes and facts against the structured data.
🔌 Automating GoodFirms Companies Directory Scraper
- Make / Zapier: trigger this actor on a schedule, push results to Airtable, Google Sheets, HubSpot, or Slack.
- Cron schedule: native Apify scheduler - run nightly, weekly, or on any cron expression.
- 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 data class? Have students pull their own GoodFirms dataset in 5 seconds and analyze it in pandas.
🧪 Personal research. Track your favourite freelancers, agencies, or speakers over time.
🤝 Non-profit & open data. Build public dashboards of who's working where and on what.
🧰 Tinkering & prototyping. Spin up a real dataset in seconds to test a new visualization library or BI tool.
🤖 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 account on GoodFirms? No. This actor only reads public pages.
❓ Is this allowed? This actor scrapes only publicly available data. Users are responsible for complying with GoodFirms's terms of service and applicable law.
❓ How many records can I pull? Free plan: 10 per run (preview). Paid plans: up to 1,000,000.
❓ Is there a rate limit? GoodFirms may throttle aggressive requests. The actor uses respectful pacing and surfaces upstream errors as clean records.
❓ Are values cleaned? Yes. Numeric fields are cast to numbers, dates to ISO strings, arrays preserved as arrays.
❓ How are errors handled? If a profile fails to parse, we push a single record with error populated. The run never crashes mid-batch.
❓ Can I schedule runs? Yes - Apify's native scheduler, or hook this up to Make / Zapier / cron.
❓ Will the schema change? Core identifiers and contact fields are stable. New optional fields may be added; existing fields will not be renamed.
❓ What format can I download? CSV, Excel, JSON, JSONL, XML, RSS, or HTML - straight from the Apify dataset UI.
❓ Can I filter by location, category, or rating? Yes - see the Input section for the full list of supported filters.
🔌 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 API 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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💡 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 GoodFirms or 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.