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Google Play Phone Number Scraper

Pricing

$19.99/month + usage

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Google Play Phone Number Scraper

Google Play Phone Number Scraper

📱 Google Play Phone Number Scraper extracts developer contact phone numbers from Google Play app listings at scale. 🔍 Fast, accurate, and export-ready (CSV/JSON). 🚀 Perfect for lead gen, outreach, market research & competitor analysis.

Pricing

$19.99/month + usage

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ScrapAPI

ScrapAPI

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5 days ago

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Google Play Phone Number Scraper

The Google Play Phone Number Scraper is an Apify actor that searches Google SERPs for Google-Play content and extracts developer contact phone numbers from Play Store listings at scale. It solves the tedious problem of manually finding app developer contact details by automating discovery and normalization of phone numbers by country dial code. Built for marketers, developers, data analysts, and researchers, this Google Play phone number extractor helps you build export-ready datasets for lead gen, outreach, market research, and competitor analysis — fast and reliably.

What data / output can you get?

Below are the exact fields the actor outputs to the Apify dataset. Results can be exported to CSV, JSON, or Excel from the Apify platform.

Data typeDescriptionExample value
platformDisplay label of the platform domain targeted in the query"Google-play.com"
keywordThe input keyword that generated the result"fitness app"
titleSERP result title for the Play Store listing"Strava: Run, Bike, Hike – Apps on Google Play"
descriptionSERP snippet text where the phone was detected"Contact the developer: +44 7700 900123 …"
urlDirect link to the Play Store result"https://play.google.com/store/apps/details?id=com.strava"
phone_numberNormalized phone number extracted from the result block"+447700900123"
countryCountry name parsed from input (used for normalization/filtering)"United Kingdom"
dial_codeDial code parsed from input (used for normalization/filtering)"+44"

Notes:

  • The scraper focuses on “play.google.com” results from Google SERP and normalizes numbers to E.164-like format using the selected country dial code.
  • If a snippet lacks a number, the result is skipped. Some text fields (like description) may be empty when not present.

Key features

  • 🚀 Fast SERP-based discovery Uses Google SERP with site filtering to find Play Store pages containing phone numbers, enabling rapid collection without manual browsing.

  • 🔎 Dial-code–aware normalization Country selection parses dial code (e.g., “United Kingdom (+44)”) and uses it to normalize and filter extracted numbers for cleaner datasets.

  • 🔁 Resilient crawling with proxy rotation Leverages Apify’s GOOGLE_SERP proxy group, randomized headers, retries, and backoff to reduce blocks and improve consistency.

  • 🎯 Per‑keyword limits Control the scope with maxPhoneNumbers. The run stops per keyword once your limit is reached, keeping costs predictable.

  • 📤 Export-ready data Structured output with fields like platform, keyword, url, and phone_number, ready to export as CSV or JSON from your Apify dataset.

  • 📈 Scalable by design Processes multiple keywords in a single run and streams results as they’re found, suitable for building a Google Play phone leads extractor pipeline.

  • 🧠 Developer-friendly actor Built on the Apify platform (Python SDK) with dataset output for easy integration into workflows and automation.

How to use Google Play Phone Number Scraper - step by step

  1. Create or log in to your Apify account.
  2. Open the Google Play Phone Number Scraper actor.
  3. Add your inputs:
    • keywords: Provide a list of keywords relevant to your target developers or apps (e.g., ["fitness app", "expense tracker"]).
    • country: Select a country like “United Kingdom (+44)” to guide phone normalization/filtering.
    • Optional: maxPhoneNumbers to cap results per keyword (default 20).
    • Optional: engine (supports "legacy") and proxyConfiguration (Apify Proxy).
  4. Start the run. The actor will query Google with a site filter and your dial code, then parse “play.google.com” results to extract numbers.
  5. Monitor progress in the log. The actor retries on failures and rotates proxies when necessary.
  6. Review results in the Dataset tab. Download/export as CSV, JSON, or Excel for your CRM or analysis.

Pro Tip: For large prospecting lists, break keywords into thematic batches and set maxPhoneNumbers to tune volume and cost.

Use cases

Use case nameDescription
Lead generation for app vendorsBuild a Google Play app developer phone list and export phone numbers from Google Play for targeted outreach.
Business development outreachUse this Google Play developer contact extractor to identify contact numbers for partnership opportunities.
Market and competitor researchScrape phone numbers from Google Play to validate developer presence and support lines across categories and regions.
Data enrichment for CRMsEnrich app developer profiles with phone numbers via this Play Store phone number scraper and export-ready datasets.
Investor and M&A scoutingCollect developer contact numbers to accelerate diligence on portfolio categories and potential acquisitions.
Support and QA verificationVerify published developer contact channels quickly using a Google Play contact details scraper workflow.
Academic and policy researchAnalyze public developer contact information by region using a reproducible Google Play business contact scraper.

Why choose Google Play Phone Number Scraper?

The actor focuses on precision, automation, and reliability for Play Store contact extraction via Google SERP.

  • ✅ Accurate, dial-code–filtered results for cleaner contact lists
  • 🔐 Proxy-backed reliability using the GOOGLE_SERP group and smart retries
  • ⚡ Scales across multiple keywords with per-keyword result limits
  • 🧩 Structured, export-ready output for downstream tools (CSV/JSON/Excel via Apify)
  • 🧪 Production-ready Apify infrastructure with streaming dataset writes
  • 🛡️ Public-data only approach aligned with ethical scraping practices
  • 💸 Predictable runs with easy control over limits and country targeting

In short: a focused Play Store developer contact scraper that outperforms manual copy-paste and brittle extensions.

Yes — when used responsibly. This tool extracts publicly available information from Google SERPs and Play Store pages and does not access private or authenticated data.

Guidelines for compliant use:

  • Collect only publicly available data and respect platform terms.
  • Use results in accordance with applicable laws (e.g., GDPR, CCPA).
  • Avoid misuse (e.g., spam). Validate consent where required.
  • Consult your legal team for edge cases and jurisdiction-specific rules.

Input parameters & output format

Example input (JSON)

{
"keywords": ["fitness app", "habit tracker"],
"platform": "Google-Play",
"country": "United Kingdom (+44)",
"maxPhoneNumbers": 50,
"engine": "legacy",
"proxyConfiguration": {
"useApifyProxy": true
}
}

Parameters

  • keywords (array of string) — A list of keywords, Google-Play usernames, or profile URLs to search for. Example: ["marketing", "founder"]. Default: none. Required: Yes.
  • platform (string, enum: ["Google-Play"]) — Select platform. For now this actor targets Google-Play via google.com SERP. Default: "Google-Play". Required: No.
  • country (string, enum) — Select a country to scrape related phone numbers. The dial code is used to normalize and filter phone numbers. Default: "United Kingdom (+44)". Required: Yes.
  • maxPhoneNumbers (integer) — Maximum number of phone numbers to collect per keyword. The scraper will stop once this limit is reached. Min 1, Max 10000. Default: 20. Required: No.
  • engine (string, enum: ["legacy"]) — Choose scraping engine. 'cost-effective' uses RESIDENTIAL proxies; 'legacy' uses GOOGLE_SERP proxy. Default: "legacy". Required: No.
  • proxyConfiguration (object) — Configure proxies for this Actor (Apify proxy). The actor will enforce legal GOOGLE_SERP or RESIDENTIAL groups depending on Engine. Default: none. Required: No.

Example output (JSON)

[
{
"platform": "Google-play.com",
"keyword": "fitness app",
"title": "Strava: Run, Bike, Hike – Apps on Google Play",
"description": "Contact the developer: +44 7700 900123 …",
"url": "https://play.google.com/store/apps/details?id=com.strava",
"phone_number": "+447700900123",
"country": "United Kingdom",
"dial_code": "+44"
}
]

Notes:

  • Fields like description may be an empty string if not present in the SERP block.
  • If a country dial code cannot be parsed from input, dial_code may be empty and normalization becomes less strict.

FAQ

Is there a free trial for Google Play Phone Number Scraper?

Yes. The Apify listing includes trial minutes (120) so you can test the actor before subscribing. Ongoing access is offered as a flat monthly price of $19.99.

Do I need to log in to Google Play to use this?

No. The actor searches public Google SERPs and parses “play.google.com” results. No Play Store account login or cookies are required.

What data does the scraper return?

It outputs structured records with platform, keyword, title, description, url, phone_number, country, and dial_code. You can export the dataset to CSV or JSON.

How many results can I collect per keyword?

You control this with maxPhoneNumbers (default 20, up to 10,000). The actor stops per keyword when that limit is reached.

How does country selection affect results?

The selected country is parsed to extract the dial code (e.g., +44). This is used to normalize numbers and filter results so phone_number values align with your target region.

What proxies does it use?

The actor uses Apify’s GOOGLE_SERP proxy group and rotates proxy URLs on retries to improve reliability and reduce blocks.

Can I customize proxies?

Yes. Use the proxyConfiguration input to configure the Apify Proxy. The actor enforces legal proxy groups based on the selected engine.

In what formats can I export data?

From the Apify dataset, you can export results in CSV, JSON, or Excel for easy use in CRMs, spreadsheets, or analytics pipelines.

Final thoughts

Google Play Phone Number Scraper is built to automate the discovery and extraction of developer phone numbers from Play Store listings via Google SERPs. With dial-code–aware normalization, resilient proxy-backed fetching, and export-ready structured output, it’s ideal for marketers, researchers, and developers who need clean contact datasets fast. Run it in Apify, export to CSV/JSON, or plug the dataset into your automation stack to start extracting smarter today.