Angi Phone Number Scraper

Angi Phone Number Scraper 🎯

Manually visiting hundreds of Angi profiles to collect phone numbers wastes hours you don’t have. Angi Phone Number Scraper automatically extracts phone numbers from Angi profiles, bios, and post content in bulk—making an Angi phone number scraper ideal for marketers, recruiters, and growth teams. This Angi lead scraper phone numbers workflow helps you build contact lists faster by scraping Angi business directory phone extraction from publicly available data. In a single run, you can collect thousands of candidate phone numbers for outreach and research workflows.

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What You Get: Sample Output

Here's a sample record from a single run:

{
  "platform": "Angi",
  "keyword": "marketing",
  "title": "Marketing Consultant",
  "description": "Marketing consultant with contact information in profile bio.",
  "url": "https://www.angi.com/company/example-marketing-consultant/",
  "phone_number": "+1-415-555-0134",
  "country": "United States",
  "dial_code": "+1",
  "error_message": null,
  "status": "pushed"
}

Field	Type	What It Tells You
platform	string	Confirms the source platform as Angi for consistent downstream processing
keyword	string	The keyword that was used to find this specific contact/entry
title	string	The Angi result title associated with the extracted phone number
description	string	The extracted text content used as the basis for phone number detection
url	string	The Angi page URL tied to the extracted phone number
phone_number	string	The phone number captured in E.164 format for clean dialing/import
country	string	The targeted country you chose for phone extraction
dial_code	string	Dialing prefix associated with the selected country targeting
error_message	string	Any error details if a record fails to push (empty/null on success)
status	string	Indicates whether the record was successfully pushed to your dataset

Export your dataset as JSON, CSV, or Excel — straight from the Apify dashboard.

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Why Angi Phone Number Scraper?

There are a lot of ways to pull data from Angi — here’s what sets Angi Phone Number Scraper apart.

Bulk phone number extraction with targeting controls

Angi Phone Number Scraper scrapes phone numbers from Angi bios, profiles, and post content using your keywords and selected country (dial code targeting included). This makes it a practical Angi business directory phone extraction tool when you need relevant leads, not random results.

Structured, dataset-ready output

Each extracted phone number is pushed as a structured record with the fields you’ll typically use for outreach: keyword, title, url, phone_number, country, and dial_code. If you’re building an Angi contact info scraper pipeline, this saves you time on reformatting.

Built-in deduplication to keep results clean

The actor tracks previously seen numbers and avoids pushing duplicates. That means your Angi lead scraper phone numbers output is more usable for list building and segmentation.

Resilient runs for larger scraping jobs

For larger tasks, Angi Phone Number Scraper includes progress saving and stopping rules, helping you resume work and avoid endless runs. It’s designed for reliability when you’re doing Angi phone number bulk download across multiple keywords.

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Configuring Your Run

Drop this into your input.json to get started:

{
  "keywords": ["marketing", "founder"],
  "location": "California",
  "country": "United States (+1)",
  "maxPhoneNumbers": 20
}

Parameter	Required	What It Does
keywords	✅	Enter keywords to search for (the actor uses them to target relevant Angi bios, profiles, and post content).
location	⬜	Filter by location (for example, London or California). Leave empty for global search.
country	✅	Select the country to target for phone numbers (this controls dial code targeting).
maxPhoneNumbers	⬜	Stop scraping after this many phone numbers are found. Higher limits can extend scraping duration.

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Core Capabilities

Extract phone numbers from Angi profile content

Angi Phone Number Scraper extracts phone numbers from Angi bios, profiles, and post content. If you’re looking for an Angi phone number finder scraper workflow, the actor focuses on publicly available content linked to each result.

Keyword and country targeting for relevant results

You control relevance using keywords plus a selected country dial code. This combination helps an Angi contractor phone numbers workflow stay focused on the market you care about.

Deduplicated, E.164-formatted phone numbers

The actor formats detected numbers into E.164 (phone_number) and avoids pushing duplicates based on previously seen values. This keeps your Angi verified phone number scraper outputs clean for import into CRMs and dialers.

Progress saving and resumable scraping

Long runs can take time, so the actor saves progress as it goes and can resume from a stored cursor state. This is helpful when you’re running larger Angi contact details scraper jobs across multiple keywords.

Output completeness for analysis and outreach

The dataset captures the key context you’ll want for follow-up: keyword, title, description, url, country, dial_code, and the extracted phone_number. That makes it straightforward to filter, validate, and prioritize leads after export.

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Who Gets the Most Out of This

Here’s how different teams put Angi Phone Number Scraper to work:

Marketing teams can generate fresh lead lists by running Angi phone number scraper searches with business-relevant keywords and a specific country, then exporting the results into their outreach workflow.

Recruiters and staffing teams can use the extracted phone_number and url fields to build a targeted list of contractors or service providers associated with their chosen keywords and geography, saving manual browsing time.

Sales development reps can turn Angi business directory phone extraction runs into daily prospecting batches, using maxPhoneNumbers to cap tests before scaling.

Researchers and data analysts can store results in the dataset and analyze patterns by keyword, country, and dial_code, instead of collecting phone numbers one-by-one from individual Angi pages.

Automation specialists (technical users) can run Angi phone number bulk download jobs repeatedly, relying on structured dataset output fields for downstream automation and enrichment.

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Step-by-Step: How to Use It

No coding needed. Here's how to run Angi Phone Number Scraper from start to finish:

1. Open the actor on Apify — go to console.apify.com and find Angi Phone Number Scraper.
2. Enter your inputs — set keywords and country, then optionally add location and maxPhoneNumbers.
3. Configure proxy settings — use the built-in proxy support for more reliable scraping on larger runs.
4. Hit Run and watch the live log — monitor progress and the number of unique phone numbers collected.
5. View results in the dataset tab — each result is pushed with fields like phone_number, url, keyword, country, and dial_code.
6. Export as JSON, CSV, or Excel — download directly from the dataset view for your team’s tooling.

The whole process takes under 5 minutes to set up.

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Integrations & Export Options

Once your data is collected, Angi Phone Number Scraper plugs directly into your existing workflow.

Export formats include JSON, CSV, and Excel from the Apify dataset tab, so you can hand results to analysts or load them into outreach tooling immediately. If you use Google Sheets, Airtable, or similar tools, you can typically connect via Apify’s native dataset integrations and/or automation platforms.

You can also access results programmatically via the Apify API for end-to-end pipeline automation, and trigger downstream actions with webhooks when your run completes. For no-code automation, Zapier or Make-style workflows can push your newly scraped Angi contact details scraper results into existing systems.

For deeper setup options and scheduling, refer to the Apify documentation: https://apify.com/docs

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Pricing & Free Trial

Angi Phone Number Scraper runs on the Apify platform, which offers a free tier — no credit card required to get started. Free credits are typically enough for several test runs so you can validate your keywords, country targeting, and expected output volume.

For ongoing usage, Apify is pay-as-you-go based on actor compute. Subscription plans are available for teams running heavier workloads, and you can scale when you’re ready without inventing custom scraping scripts.

Start for free at apify.com and scale when you're ready.

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Reliability & Performance

What We Handle	How
Result caps	maxPhoneNumbers stops the run after enough unique phone numbers are found
Large jobs	Designed to work across multiple keywords with progress saving
Deduplication	Tracks and avoids re-pushing previously seen phone numbers
Resuming runs	Saves progress so you can continue without starting from scratch
Error handling	Attempts to keep the run going while pushing what it can to the dataset
Scale in one run	Up to the limits of your chosen input and run duration

Limitations: It relies on phone numbers that appear in Angi publicly available profile content. Private, login-gated, or unavailable data can’t be collected by this actor. If results are fewer than expected, broaden keywords or adjust country and location.

For enterprise-scale runs, contact us to discuss custom configurations.

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Frequently Asked Questions

Is there a free plan or trial?

Yes—Apify provides a free tier that’s intended for testing smaller scraping jobs. Larger runs or higher output caps may require a paid Apify plan.

Do I need to log in to Angi to use this?

No. This actor scrapes phone numbers from publicly available Angi profile content and does not require an Angi login.

How accurate is the data?

Accuracy depends on what phone numbers are actually published in the Angi bios, profiles, and post content being processed. The actor extracts and normalizes phone numbers that it detects from publicly available text and returns them in phone_number.

How many results can I get per run?

You can control the cap with maxPhoneNumbers. If you run under a free tier context, the actor applies a result limit when maxPhoneNumbers exceeds the free maximum.

How often is the data updated / how fresh is it?

The data freshness depends on when you run the actor. Each run captures what is publicly visible at runtime, so re-running on a schedule is the best way to keep your Angi phone number bulk download data current.

Is this legal? Does it comply with GDPR / CCPA?

This actor works with publicly available data that users can view without login. It’s your responsibility to comply with GDPR, CCPA, platform terms, and any applicable local regulations when collecting, storing, or using the results.

Can I export results to Google Sheets or Excel?

Yes. You can export your dataset from the Apify dashboard, including JSON and CSV/Excel formats. From there, you can import into Google Sheets or other tools that accept CSV/Excel.

Can I run this on a schedule automatically?

Yes. You can schedule runs using Apify’s scheduling capabilities. This is useful if you want ongoing updates for your Angi contact info scraper workflow.

Can I access this via API?

Yes. You can trigger runs and retrieve results programmatically using the Apify API. This is useful for building automated enrichment and list-building pipelines.

What happens if the actor hits an error?

The actor saves progress and keeps pushing results it can to your dataset. If an individual record cannot be pushed, the run continues and you’ll see the failure reflected in pushed record handling (for example, via error details in the output if present).

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Need Help or Have a Request?

Got a question about Angi Phone Number Scraper or want a new feature added? Reach out at dataforleads@gmail.com. We welcome feedback and support requests, and we actively maintain this actor. If you’d like, suggest ideas like webhook notifications on completion or batch input improvements for Angi scraping tool phone numbers use cases.

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Disclaimer & Responsible Use

Angi Phone Number Scraper is the fastest, most reliable way to extract phone numbers from Angi profiles and posts — start your free run today.

When using this actor, it collects publicly available data from Angi. It does not access private accounts, login-gated content, or password-protected pages. You are responsible for complying with GDPR, CCPA, platform ToS, and any applicable laws. For data removal requests, contact dataforleads@gmail.com. Use responsibly, ethically, and only for lawful purposes.