Thumbtack Phone Number Scraper

Thumbtack Phone Number Scraper 📞

Thumbtack Phone Number Scraper helps you automatically extract phone numbers from Thumbtack profiles, bios, and post content using your keywords and a selected country target. Whether you’re a marketer building a Thumbtack outreach lead list, a data analyst enriching records for a local business directory phone scraper, or a researcher validating contact channels, this actor streamlines the tedious work of finding phone numbers from public web data—at scale, without manual copy/paste.

You can also add an optional location filter to improve relevance and stop after a set maximum number of results.

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Why choose Thumbtack Phone Number Scraper?

Feature	Benefit
✅ All-in-one Thumbtack extraction	Pulls phone numbers from Thumbtack profile/bio/post content in one run
✅ Keyword + country targeting	Uses your keywords and country code selection to focus results where you need them
✅ Reliability-focused retries & fallbacks	Includes resilience mechanisms to keep long scraping tasks moving
✅ Structured dataset output	Saves results with consistent fields like phone_number, url, and dial_code
✅ Works for bulk scraping	Designed for large batches by setting limits like maxPhoneNumbers
✅ Incremental saving to dataset	Pushes each found row immediately so you don’t lose progress

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Key features

• 📌 Keyword-driven lead discovery: Uses your input keywords to guide the extraction of relevant Thumbtack content (e.g. “Thumbtack lead scraper” style use cases)
• 🌍 Country code targeting: Filters/validates numbers using your selected country so the output matches the dial region you want
• 🔎 Profile + bio + post content coverage: Extracts phone numbers from Thumbtack profiles, bios, and post content (great for “Thumbtack contact scraper” workflows)
• 🔁 Resilient scraping behavior: Includes retry and stop conditions to better handle slower or sparse result sets
• 💾 Real-time data saving: Each unique phone number result is pushed as it’s found, building your dataset incrementally
• 🧠 De-duplication of phone numbers: Tracks previously found numbers to avoid duplicates within the run
• 🎯 Result limiting: Uses maxPhoneNumbers to stop after your chosen maximum—ideal for “Thumbtack phone number extractor” runs with strict quotas
• 📊 Clean, tabular-ready fields: Outputs a structured dataset designed for easy exporting and analysis

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Input

Provide input via an input.json file. Example structure:

{
  "keywords": ["marketing", "founder"],
  "location": "London",
  "country": "United Kingdom (+44)",
  "maxPhoneNumbers": 20
}

Input Fields

Field	Required	Description
keywords	✅ Yes	A list of keywords to search for (for example: ["marketing", "founder"]). These drive what Thumbtack content is targeted.
location	❌ No	Optional location text (for example: London or California). Leave it empty for a global-style search.
country	✅ Yes	The country to target for phone numbers (pick one from the provided list like United Kingdom (+44)). This helps validate/standardize extracted numbers.
maxPhoneNumbers	❌ No	Stop after this many phone numbers are found. Higher values can increase runtime. Must be between 1 and 10000. Default is 20.

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Output

The actor saves each found result row into a dataset (view: “Scraped Phone Numbers”). Each row includes the phone number plus related Thumbtack metadata.

Example output item

{
  "keyword": "marketing",
  "title": "No title",
  "description": "No data",
  "url": "No URL",
  "phone_number": "+447700900123",
  "country": "United Kingdom",
  "dial_code": "+44"
}

Output Fields

Field	Type	Description
keyword	string	The keyword used when searching for this result
title	string	The title extracted from the source item
description	string	The extracted description/content where the phone number was found
url	string	The URL associated with the extracted item
phone_number	string	The normalized phone number in E.164 format
country	string	The selected country name used for targeting
dial_code	string	The dial code for the selected country (e.g. +44)

You can export the dataset as JSON/CSV from the Apify UI after the run completes.

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How to use Thumbtack Phone Number Scraper (via Apify Console)

1. Open Apify Console
   Log in at https://console.apify.com and go to the Actors section.

2. Find the actor
   Search for Thumbtack Phone Number Scraper and open the actor page.

3. Add your input values
   In the INPUT panel, set:

   • keywords (required)
   • country (required)
   • location (optional)
   • maxPhoneNumbers (optional)

4. Configure run options (if needed)
   Large scraping tasks may take time. You can adjust the timeout in Run Options (default: 3600s / 1hr).

5. Choose your run settings (proxy support)
   This actor includes built-in proxy support for reliable scraping, which can help when making large requests.

6. Start the run & monitor logs
   Click Run. During execution, watch the actor logs for progress updates and when results are found.

7. Open the dataset output
   When the run finishes, go to the OUTPUT tab and open the Thumbtack Phone Numbers Dataset (view: Scraped Phone Numbers).

8. Export your results
   Export the dataset to JSON or CSV for your CRM, spreadsheet, or analysis pipeline.

No coding required—get your Thumbtack phone numbers in minutes. 🚀

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Advanced features & SEO optimization

• ⚡ Engineered for Thumbtack outreach lead list building: Works well as a “Thumbtack business email scraper” alternative when your goal is specifically phone outreach data (paired with your own email workflow elsewhere).
• 🧩 Input normalization: Accepts keywords as an array and uses your provided country selection to standardize/validate output formatting.
• 🛡️ Resilient scraping behavior: Includes retries and stop conditions designed to handle sparse results and interruptions for long runs.
• 📌 Incremental dataset storage: Results are pushed as they’re discovered, keeping your pipeline moving even for large batches.
• 🎯 Quota control for predictable workflows: Use maxPhoneNumbers to cap output volume when you need consistent batch sizes (perfect for “service provider phone number scraper” style operations).

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Best use cases

• 📈 Sales teams building a local lead database: Collect phone numbers for a targeted set of services by using focused keywords and country dialing rules.
• 🧪 Researchers validating contact channels: Compare how businesses present phone numbers across Thumbtack profiles and public bios.
• ✉️ Marketing teams launching multi-channel outreach: Quickly generate a “Thumbtack contact information scraper” phone list to pair with your existing email sourcing.
• 🏢 B2B lead generation workflows: Use as a “B2B lead scraper for Thumbtack” to enrich records when phone-first outreach matters.
• 🔄 Data enrichment pipelines: Feed structured phone results into spreadsheets and analytics tools using consistent dataset fields.
• 🛠️ Ops & CRM automation: Run scheduled extractions with maxPhoneNumbers limits to keep your CRM updates predictable.
• 🌎 Regional targeting for service providers: Extract phone numbers for a chosen dial region using the country parameter and optional location text.

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Technical specifications

• Supported Input Formats

  • ✅ keywords: array of strings (required)
  • ✅ country: one of the listed country options (required)
  • ✅ location: optional string
  • ✅ maxPhoneNumbers: integer from 1 to 10000 (optional)

• Proxy Support

  • ✅ Built-in proxy support for reliable scraping

• Retry Mechanism

  • ✅ Includes retries and fallbacks for resilience during scraping

• Dataset Structure

  • ✅ Dataset view name: “Scraped Phone Numbers”
  • ✅ Fields: keyword, title, description, url, phone_number, country, dial_code

• Limitations

  • ❌ No data is produced for contacts where no valid phone number can be found in the scraped content
  • ❌ Results may be fewer than expected if keywords are too narrow or country targeting doesn’t match where public numbers are posted

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FAQ

How many phone numbers can I extract with Thumbtack Phone Number Scraper?

✅ You control this with the maxPhoneNumbers input. If you don’t set it, the actor uses a default of 20. For free users, a maximum of 100 phone numbers may be enforced by the actor logic.

What phone number format do I get in the dataset?

✅ The dataset field phone_number is normalized into E.164 format.

Can I target a specific country and dial code?

✅ Yes. The country input determines the dialing region. The output includes both country and dial_code, and phone numbers are validated/standardized accordingly.

Do I need to provide location?

❌ Not required. You can leave location empty for a broader search, or set it (e.g. “London” or “California”) to improve targeting.

Does it deduplicate results?

✅ Yes. The actor tracks already seen phone numbers during the run, preventing duplicates in the dataset output.

Where do the results get stored?

✅ Each discovered item is pushed into the dataset view “Scraped Phone Numbers” as rows with fields like url, phone_number, and dial_code.

Can I resume if a run stops early?

✅ Yes. The actor uses progress persistence (including a cursor and seen_numbers) so it can resume from the saved state.

Is this suitable for bulk scraping?

✅ Yes. Use keywords, country, and maxPhoneNumbers to control batch size, and adjust Run Options timeout if needed for larger tasks.

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Support & feature requests

If you’re using Thumbtack Phone Number Scraper and want improvements, we’d love to hear from you. 💬

• 💡 Feature Requests: For example, CSV export enhancements, additional filters for keywords, or improvements to how results are stored in your dataset.
• 📧 Contact: Email us at dataforleads@gmail.com.

Your feedback helps shape the roadmap for making Thumbtack lead scraping workflows smoother and more reliable. 🤝

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Closing CTA / Final thoughts

Thumbtack Phone Number Scraper is a purpose-built, SEO-optimized Thumbtack contact information scraper designed to help you extract phone numbers quickly and reliably—turning public Thumbtack data into structured results you can use immediately.

If you’re ready to build a targeted outreach list at scale, run it with your best keywords and country settings today. 🚀

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Disclaimer

This actor accesses publicly accessible sources only. It does not access private profiles, authenticated data, or password-protected pages. It’s your responsibility to comply with applicable laws and regulations (including GDPR, CCPA, and spam regulations) and to respect each platform’s terms of service.

If you need data removal, contact us at dataforleads@gmail.com. Please use this tool responsibly, ethically, and for legitimate purposes only.