Angi Phone Number Scraper

Angi Phone Number Scraper 🔍

Angi Phone Number Scraper is a focused data extraction tool that helps you collect phone numbers from Angi profiles, bios, and post content using your chosen keywords and a targeted country dial code. Whether you’re searching for an Angi lead scraper, an Angi contact info scraper, or an Angi business phone numbers scraper, this actor streamlines discovery by using keyword + country targeting—so you can build outreach lists faster and save hours of manual research.

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Why choose Angi Phone Number Scraper?

Feature	Benefit
✅ All-in-one contact extraction	Pulls phone numbers from Angi bios, profiles, and post content in one run
✅ Keyword + country targeting	Uses your keywords and a country dial code to focus results on the right region
✅ Reliability with resilience	Includes retries and fallbacks for resilience when pages don’t return results as expected
✅ Structured dataset output	Saves results with consistent fields like url, phone_number, country, and dial_code
✅ Bulk scraping with limits	Supports larger extraction jobs and stops after maxPhoneNumbers are found
✅ Incremental saving	Pushes each found record to the dataset as it’s discovered

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Key features

• 📌 Angi phone number discovery: Extracts phone numbers from Angi bios, profiles, and post content
• 🎯 Keyword-driven targeting: Uses your provided keywords to find relevant Angi contacts faster (including variations like Angi lead scraper and Angi contact scraper tool)
• 🌍 Country dial code filtering: Targets phone numbers for the selected country (useful for Angi business phone numbers scraper workflows)
• 🧰 Max limit control: Stops automatically after it finds the number of phone numbers you set in maxPhoneNumbers
• 🛡️ Resilient scraping behavior: Includes retries and stops on sustained no-result conditions to keep runs productive
• 💾 Real-time dataset saving: Each phone number record is pushed incrementally to the dataset
• 🔁 Resume-friendly progress: Persists progress in a key-value store so runs can resume from where they left off
• 🔗 Source URL included: Every extracted record includes the profile/page url for verification and auditing

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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	✅	A list of keywords used to target relevant Angi bios/profiles/posts (for example, “marketing” or “founder”).
location	❌	Optional location filter (example: “London”, “California”). Leave it empty for a global search.
country	✅	Select the country whose phone numbers you want to target (includes a country + dial code like “United Kingdom (+44)”).
maxPhoneNumbers	❌	Stop scraping after this many phone numbers are found. Higher values can extend runtime.

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Output

After execution, the actor saves each extracted contact’s data in JSON format into the dataset “Scraped Phone Numbers”.

Example output record (dataset row pushed by the actor):

{
  "platform": "Angi",
  "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
platform	string	The source platform name (set to Angi).
keyword	string	The keyword that was used during extraction for this result.
title	string	The title associated with the matched result (may be missing and fall back to a default string).
description	string	Text content associated with the matched result (used as the basis for finding phone numbers).
url	string	The source URL for the matched Angi listing/profile/post.
phone_number	string	The extracted phone number in international (E.164) format.
country	string	The target country (derived from the selected country option).
dial_code	string	The dial code associated with the target country option.
error_message	❌	Not present in the pushed dataset schema. The actor does not include an error_message field in pushed records.

You can export your dataset to common formats like JSON (and typically CSV via Apify’s dataset export UI).

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

1. Open Apify Console
   Go to console.apify.com and sign in.

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

3. Go to the Input section
   In the INPUT tab, fill in values for keywords, location (optional), country, and optionally maxPhoneNumbers.

4. Set your targeting
   Choose the country (e.g. “United Kingdom (+44)”) and add relevant keywords for your Angi lead scraper use case (e.g. contractor roles, specialties, or business descriptors).

5. Run the actor
   Click Run. The actor will push results incrementally to the dataset while it searches.

6. Monitor progress in logs
   Watch the run logs for progress and stopping conditions. If results are fewer than expected, the actor suggests trying broader keywords or different country settings.

7. Open the output dataset
   After completion, open the dataset named “Scraped Phone Numbers” and review the table view.

8. Export results
   Export from the dataset UI to your preferred format for CRM, outreach lists, or analysis.

No coding required — get accurate results in minutes with this Angi contact info scraper.

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Advanced features & SEO optimization

• 🧠 Engineered for Angi prospecting: Designed specifically for Angi phone number scraper and Angi contact scraper tool workflows where you need phone numbers tied to Angi profiles and listings.
• 🔄 Resume and progress persistence: Maintains a saved progress state so long runs can continue without starting from scratch.
• ⏳ Timeout-aware operations: Uses a default run timeout (mentioned in the input description) suitable for large batches; you can adjust via Run Options.
• 🔍 Improves targeting with keyword + country: Uses your keywords and a country dial code to help Angi business contact scraper projects stay focused on the right region.
• 🧾 Structured output for downstream use: Every result row includes url, phone_number, country, and dial_code, making it straightforward to merge into lead pipelines or research datasets.

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Best use cases

• 📈 Marketing team: build outreach lists faster: Extract Angi business phone numbers for campaigns filtered by country and keyword intent to reduce manual searching time.
• 🏗️ Contractor lead generation: find phone-first contacts: Use as an Angi contractor phone number scraper to compile contractor and service business contacts from publicly available Angi pages.
• 🧑‍💼 Sales research: validate availability and region fit: Collect phone numbers with consistent country/dial codes for region-specific lead qualification.
• 🔎 Lead sourcing for agencies: keyword-based discovery: Run an Angi lead scraper workflow with multiple keywords to cover different service niches.
• 🧾 Data analysis: create structured datasets: Turn Angi data extraction tool outputs into a clean table (url, phone_number, keyword) for analysis or reporting.
• 🤝 CRM enrichment: automate contact ingestion: Feed extracted records into CRM pipelines as a reusable contact dataset foundation.
• 🌍 International prospecting: control the dial code: Use country targeting to help you find phone numbers aligned to your target market, useful for Angi business phone numbers scraper operations.

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Technical specifications

• Supported Input Formats

  • ✅ keywords as an array
  • ✅ location as a string (optional)
  • ✅ country as one of the provided country + dial code options
  • ✅ maxPhoneNumbers as an integer (1–10000)

• Proxy Support

  • ✅ Built-in proxy support for reliable scraping
  • ✅ Includes resilience behavior when results are missing or scraping conditions change

• Retry Mechanism

  • ✅ Includes retries and fallbacks for resilience during extraction

• Dataset Structure

  • ✅ Dataset: “Scraped Phone Numbers”
  • ✅ Fields pushed per record: keyword, title, description, url, phone_number, country, dial_code (plus platform in pushed rows)

• Rate Limits & Performance

  • ✅ Designed for scraping tasks that can take time; you can adjust runtime via Run Options (timeout described in input text)
  • ✅ Stops when maxPhoneNumbers is reached (if provided)

• Limitations

  • ❌ Results depend on publicly available phone numbers present in Angi bios/profiles/post content
  • ❌ If fewer than expected are found, you’ll likely need broader keywords or different country settings (as suggested by the actor logs)

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FAQ

Does Angi Phone Number Scraper only pull phone numbers?

✅ Yes. The actor focuses on extracting phone numbers from Angi bios, profiles, and post content, and it saves each result with the associated url, country, and dial_code for verification.

What fields will I get in the dataset?

The dataset includes fields pushed for each discovered phone number, including keyword, title, description, url, phone_number, country, and dial_code (and the pushed row also sets platform to Angi).

How do I target a specific region?

You select the country in the input (for example, “United Kingdom (+44)”). Optionally, you can also provide a location string to narrow the search scope further.

Can I limit how many phone numbers the actor finds?

Yes. Use maxPhoneNumbers to stop scraping after the actor finds that many phone numbers. This is helpful for controlled lead generation runs.

Will it take a long time for large batches?

Large scraping tasks may take time. The actor’s input description notes a default timeout (and that you can adjust timeout in Run Options) to match your workload.

Can I resume a run if it stops early?

Yes. The actor saves progress in a key-value store and resumes based on saved cursor state and previously seen phone numbers.

Is this the right tool for “Angi lead scraper” and “Angi contact info scraper” tasks?

✅ Yes. The actor is specifically oriented toward building contact datasets (phone numbers) from Angi pages, using keyword and country targeting—making it a strong fit for Angi lead scraper and Angi contact info scraper use cases.

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Support & feature requests

If you’re using Angi Phone Number Scraper and want improvements, enhancements, or troubleshooting help, tell us what you need.

• 💡 Feature Requests: Ideas like better export formatting, additional filtering options, or expanding how results are structured are welcome.
• 📧 Contact: Email dataforleads@gmail.com.

Your feedback helps shape the roadmap for this Angi contact scraper tool.

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Ready to scale your Angi phone number finder workflow? Angi Phone Number Scraper is the most comprehensive, SEO-optimized way to collect structured Angi business contact phone numbers at speed.

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Disclaimer

This tool only accesses publicly accessible sources. It does not access private profiles, authenticated content, or password-protected pages. Legal compliance (including GDPR/CCPA, spam regulations, and each platform’s terms) is your responsibility.

If you need to request data removal, contact dataforleads@gmail.com. Please use Angi Phone Number Scraper responsibly, ethically, and for legitimate purposes only.