Instagram B2B Email Scraper & Phone Leads
Under maintenancePricing
$19.99/month + usage
Instagram B2B Email Scraper & Phone Leads
Under maintenanceπΈ Instagram B2B Email Scraper (instagram-b2b-email-scraper) extracts verified business emails & contact info from Instagram profiles, bios and linked sites. π― Filter by hashtag, niche, location. π Ideal for B2B lead gen, outreach & sales. βοΈ CSV/CRM export & email validation.
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$19.99/month + usage
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SimpleAPI
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Instagram Scraper β Business Emails, Phone Leads and Verified Profiles
Instagram B2B Email Scraper & Phone Leads finds business emails and phone numbers for Instagram business accounts β no Instagram login required. Targeted Google searches DISCOVER accounts in your niche; every contact is then read from that account's own live Instagram bio and bio links, so the email and phone on a row provably belong to the handle in its url. Each lead also carries real follower/verification data, the keyword and B2B pattern that surfaced it, and the Google result it was found through. It's built for B2B sales teams, outreach agencies, and lead-generation pipelines that need real, dial-code-targeted contact data at scale.
What is Instagram B2B Email Scraper & Phone Leads?
Instagram B2B Email Scraper & Phone Leads is an Apify Actor that discovers Instagram-linked business contacts through Google Search rather than logging into Instagram directly β no Instagram account or session cookie is needed. Key capabilities:
- Search by keyword across Instagram profiles, posts, and reels via Google to discover accounts, with an optional geographic search modifier
- Collect emails, phone numbers, or leads that have both, controlled by
contactTypes - Run in B2B mode (corporate email search patterns, e.g. "email for bookings", "contact @ domain") or personal mode (Gmail/Outlook domain filtering)
- Target and filter phone numbers by country name or dial code
- Every lead carries real, live Instagram profile data (followers, following, full name, verified, private, bio, bio link) read from Instagram's own server-rendered payload
- Smart proxy rotation with automatic tier escalation for stable Google Search access
What data can I extract with Instagram B2B Email Scraper & Phone Leads?
| Field | Example Value | Use Case |
|---|---|---|
email | "bookings@studiofit.com" | The primary contact target for outreach |
phoneNumber | "+442071234567" | Direct phone contact, normalized and optionally country-filtered |
dialCode | "+44" | The number's own country calling code |
country | "United Kingdom" | The number's own country, resolved by libphonenumber from the number itself |
keyword | "fitness coach" | Identify which search term surfaced this lead |
pattern | "email_for_bookings" | Identify which B2B search pattern found this lead (B2B mode only) |
leadType | "b2b" | Distinguish B2B corporate leads from personal-domain leads |
emailSource | "instagram_bio" | Where the email was read from: instagram_bio or instagram_bio_link |
phoneSource | "instagram_bio_link" | Where the number was read from: instagram_bio or instagram_bio_link (e.g. a wa.me link) |
url | "https://www.instagram.com/studiofitofficial/" | The Instagram account the contact belongs to |
username | "studiofitofficial" | The account handle |
fullName | "Studio Fit" | The account's display name |
sourceUrl | "https://www.instagram.com/reel/DYKf_zGsUgc/" | The Google result (often a post or reel) that led to this account |
network | "Instagram.com" | Confirm the source platform |
location | "London" | Confirm the geographic search modifier applied, if any |
scraped_at | "2026-07-26T14:02:11Z" | Record when this lead was collected |
followersCount | 18420 | Gauge account size and outreach potential |
verified | false | Prioritize verified accounts if desired |
bio | "Personal training studio in London" | Qualify the lead's stated business description |
externalUrl | "https://studiofit.com" | Cross-reference the lead's own website |
Where every contact comes from
A Google result for site:instagram.com is almost always a post or reel, and the snippet Google shows for it is the post caption. Captions credit guest artists, tag partner studios and quote other people's booking details constantly, so an address scraped from a snippet is not provably the account's own β and pairing it with that account's URL is simply a wrong record.
This Actor therefore treats Google as a pure discovery surface. For each result it resolves the account that owns it (a post page's og:url names its owner), loads that account's live Instagram profile, and reads the contact out of two fields and only two: the account's biography text and its bio_links array β where a mailto: link or a WhatsApp deep link such as wa.me/447859882379 is the business's contact. emailSource and phoneSource record which of the two every value came from. Captions, comments and SERP snippets are never consulted.
The same profile payload supplies followersCount, followingCount, fullName, verified, isPrivate, bio and externalUrl, so every lead arrives already qualified. No login, session cookie or Instagram account is needed for any of it. Phone numbers are validated against the real numbering plan of the country their prefix claims (Google's libphonenumber), and dialCode / country are read off the accepted number rather than echoed from your input.
On business category, business-account flag and lookalike profiles: these are deliberately not offered. They live only behind /api/v1/users/web_profile_info/, and that route is closed: measured with a confirmed-live Instagram session from a residential exit, it returns HTTP 429 to both bot-shaped and fully browser-shaped authenticated requests; the authenticated profile page returns the viewer's own record rather than the target's; and /api/v1/users/<pk>/info/ accepts the session and answers {"user":{},"status":"ok"} -- an empty object. The logged-out payload this Actor reads has never carried them. Rather than ship columns that are permanently null and a session-cookie input that provably changes nothing, both were removed.
Country, location and B2B pattern targeting
country accepts a country name or dial code (e.g. "United Kingdom (+44)" or just "+91"); when it resolves to a dial code, phone matches are both normalized and filtered to that code. searchLocation adds a geographic term to the underlying Google query (e.g. "London"). In B2B mode, b2bSearchPatterns selects which named corporate-email search patterns run (leave empty to run all of them); in personal mode, personalDomainAllowlist restricts results to specific email domains.
Why not build this yourself?
Instagram's own Graph API requires a Business or Creator account and app review for any profile data access, and has no endpoint for keyword-based discovery of contact information across arbitrary public profiles, posts, or reels β that isn't a gap this Actor works around lightly. Building an equivalent tool means handling Google SERP HTML parsing across changing result-block layouts, a three-tier proxy escalation ladder (direct β datacenter β residential) for when Google rate-limits or blocks a request, country/dial-code-aware phone number parsing and normalization, and β for profile enrichment β knowing that instagram.com serves a full server-rendered data payload to a plain HTTP client but a contentless JavaScript shell to anything that looks like Chrome, which is the opposite of what a scraper author would assume. Phone parsing is where naive implementations quietly produce garbage: a loose regex plus "prepend the dial code" will happily emit +18893094 from a truncated 7-digit fragment, or relabel an ordinary US number as +443233643929. This Actor validates every candidate against the target country's real numbering plan (Google's libphonenumber) and checks the line type before a number is allowed into the dataset. All of that is implemented and already handled in this Actor's source.
How to use data extracted from Instagram?
B2B sales and lead generation
Run targetKeywords for your ideal customer profile (e.g. "yoga studio", "personal trainer") with collectionMode set to b2b and contactTypes set to both to get leads carrying both an email and a phone number in the same bio, filtered to your target market with country. Every row already includes followersCount and verified, so your sales team can prioritize the highest-potential accounts without a second enrichment pass.
Marketing and outreach agencies
Agencies running lead generation for multiple clients can run one keyword set per client and use b2bSearchPatterns to target the specific corporate-contact patterns that convert best for that client's vertical (e.g. email_for_bookings for service businesses), then export email, phoneNumber, and followersCount directly into that client's CRM import template.
Market and lead-density research
Run the same keyword across multiple country values to compare how many qualified leads (with a real phone number and a healthy followersCount) exist per market, using maxContactLeads to cap each market's sample size consistently for a fair comparison.
AI agents and automated pipelines
An agent can call this Actor as a lead-discovery tool inside a larger outreach pipeline β passing a target niche as targetKeywords, filtering the returned dataset on contactTypes and verified, and feeding qualified leads directly into a CRM or email-sequencing API without manual review of every raw Google result.
πΌ Input sample
| Parameter | Required | Type | Description | Example Value |
|---|---|---|---|---|
targetKeywords | No | array | Search terms for Instagram via Google (e.g. marketing, fitness, real estate) | ["fitness coach"] |
contactTypes | No | string (enum) | email (default), phone, or both (require both on the same lead) | "both" |
country | No | string | Country name and/or dial code to target and filter phone matches by | "United Kingdom (+44)" |
collectionMode | No | string (enum) | b2b (default, corporate email patterns) or personal (Gmail/Outlook domain filter) | "b2b" |
personalDomainAllowlist | No | array | Personal mode only: domains to filter results to | ["@gmail.com", "@outlook.com"] |
b2bSearchPatterns | No | array | B2B mode only: named search patterns to run; empty = all patterns | ["email_for_bookings", "bio_email_basic"] |
contactSourcePlatform | No | string (enum) | Target platform; only "Instagram.com" is supported | "Instagram.com" |
searchLocation | No | string | Geographic filter added to the search query | "London" |
maxContactLeads | No | integer (1-50,000) | Maximum leads to collect across all keywords/patterns | 10 (default) |
maxLeadsPerPattern | No | integer (1-5,000) | Cap leads per B2B search pattern (B2B mode only) | 15 (default) |
smartProxyRotation | No | boolean | Enable Apify proxy with automatic tier escalation | true (default) |
maxRuntimeMinutes | No | integer (1-720) | Wall-clock budget; the run stops paging when it expires | 20 (default) |
proxyConfiguration | No | object | Advanced proxy override for the Google leg (ignored when smartProxyRotation is off) | {"useApifyProxy": true, "apifyProxyGroups": ["GOOGLE_SERP"]} |
{"targetKeywords": ["fitness coach", "personal trainer"],"contactTypes": "both","country": "United Kingdom (+44)","collectionMode": "b2b","maxContactLeads": 100}
Common pitfall: contactTypes: "both" requires the same account's bio to carry an email and a phone number β a much narrower bar than "email" or "phone" alone, because most bios publish only one. A second pitfall: leaving country empty means a number written in national trunk form (020 7953 3831) has no resolvable country and is skipped rather than guessed β set country whenever your targets are outside the NANP.
π½ Output sample
Output is typed, normalized JSON β one row per lead (exportable as JSON, CSV, or Excel from the dataset, or via API).
{"url": "https://www.instagram.com/mdtattoostudio/","sourceUrl": "https://www.instagram.com/p/DY5KbZ6AQg_/","email": "bookings@mdtattoostudio.com","emailSource": "instagram_bio","phoneNumber": "+18059101444","phoneSource": "instagram_bio","dialCode": "+1","country": "United States","username": "mdtattoostudio","fullName": "MD Tattoo Studio","followersCount": 57030,"followingCount": 1128,"verified": true,"isPrivate": false,"bio": "For Appointments, Text, Email, or Come On In! \ud83d\udc83\n\ud83d\udcac (805) 910-1444\n\ud83d\udce7 bookings@mdtattoostudio.com\nWalk-ins are always welcome\nThousand Oaks, California","externalUrl": "https://linktr.ee/tattooshop","network": "Instagram.com","keyword": "tattoo studio","pattern": "bio_email_basic","leadType": "b2b","location": null,"scraped_at": "2026-08-30T06:36:50Z"}
Every field shown above is a real dataset column. Any value the live fetch could not establish is emitted as null β never 0, never "", never a plausible-looking guess.
How do you filter and target specific leads?
collectionMode is the category-versus-query axis here: b2b runs named corporate-contact search patterns (b2bSearchPatterns β leave empty to run all of them, or name specific ones like email_for_bookings or contact_at_domain for a narrower, higher-relevance sweep), while personal runs a Gmail/Outlook-style domain search filtered by personalDomainAllowlist. Scope precision comes from country (name or dial code β resolving it also filters and normalizes phone matches to that code) combined with searchLocation for a city/region-level narrowing of the underlying Google query. The closest thing to a quality threshold is contactTypes: set to "both" it requires a lead to carry both a matched email and phone number on the same source, a much stricter bar than either alone; and followersCount / verified come directly from Instagram's own profile data on every row, not inferred from a search snippet. Volume is controlled by maxContactLeads (the run-wide cap) and, in B2B mode, maxLeadsPerPattern (a per-pattern cap so one high-yield pattern doesn't crowd out the others).
{ "targetKeywords": ["yoga studio"], "collectionMode": "b2b", "b2bSearchPatterns": ["email_for_bookings"], "contactTypes": "both", "country": "+1" }
{ "targetKeywords": ["freelance photographer"], "collectionMode": "personal", "personalDomainAllowlist": ["@gmail.com"], "maxContactLeads": 50 }
{ "targetKeywords": ["real estate agent"], "searchLocation": "Miami", "contactTypes": "both", "country": "United States" }
βΆοΈ Want to try other Instagram scrapers?
| Scraper Name | What it extracts |
|---|---|
| Instagram Profile Scraper | Full public profile details for a known username or URL |
| Instagram Related Person Scraper | Related/lookalike profile networks for a given account |
| Instagram Phone Number Scraper | Phone-number-focused lead discovery from Instagram content |
| Instagram Hashtag Scraper | Posts and profiles discovered by hashtag |
| LinkedIn B2B Email Scraper | Corporate email and phone leads sourced from LinkedIn |
| Alibaba Email Scraper & Trade Assurance Details | Supplier contact leads sourced from Alibaba |
How to extract Instagram data programmatically
Every run is a standard Apify Actor call β one API request with your token, JSON input, JSON leads back. No Instagram login is required.
Python example
from apify_client import ApifyClientclient = ApifyClient("<YOUR_APIFY_API_TOKEN>")run_input = {"targetKeywords": ["fitness coach"],"contactTypes": "both","country": "United Kingdom (+44)","maxContactLeads": 50,}run = client.actor("<YOUR_USERNAME>/instagram-b2b-email-scraper-phone-leads").call(run_input=run_input)for lead in client.dataset(run["defaultDatasetId"]).iterate_items():print(lead["email"], lead["phoneNumber"], lead["keyword"])
Export to spreadsheets or CRM
Export the dataset directly as CSV or Excel, then map email and phoneNumber to your CRM's contact fields, keyword/pattern to a lead-source column, and followersCount/verified (when enrichment is on) to a segmentation column for outreach targeting.
Is it legal to scrape Instagram contact leads?
Discovered emails and phone numbers are personal or business-contact data, so GDPR and CCPA obligations apply to how you store and use them β the same as any lead-generation dataset containing individual contact details. Instagram's own bio/profile fields are public by design (visible to any logged-out visitor), but downstream storage and use of contact data for marketing purposes should follow applicable data-protection and anti-spam rules (e.g. CAN-SPAM, GDPR lawful-basis requirements). Consult legal counsel for commercial applications involving bulk storage of personal contact data.
β FAQ
Does this actually extract phone numbers, not just emails?
Yes. contactTypes lets you collect phone numbers only, emails only, or require both on the same lead, and choosing phone also switches the Google query set to phone-oriented patterns ("call or text", "whatsapp", "π") instead of the email-oriented ones. Every number is validated against its country's real numbering plan with Google's libphonenumber, and the line type is checked too β so truncated fragments, follower counts, years, and foreign numbers wearing the wrong country code are rejected rather than shipped.
How accurate is the enriched profile data?
followersCount, followingCount, fullName, verified, isPrivate, bio and externalUrl are read from the lead's live Instagram page at request time β the same data the profile itself displays. If the username can't be resolved or a fetch fails, the affected fields return null rather than a guessed value. Business category and lookalike profiles are not offered at all; see the enrichment section for the measurements behind that.
How many leads can I get per run?
Set maxContactLeads (1-50,000, default 10) for the overall run cap, and maxLeadsPerPattern (1-5,000, default 15) to cap how many leads any single B2B pattern can contribute.
Do I need an Instagram account to use this?
No. Lead discovery runs entirely through Google Search, and profile enrichment reads Instagram's public server-rendered profile page. Every field this Actor returns is obtainable fully logged-out, and it never asks you for a cookie.
What's the difference between B2B mode and personal mode?
b2b mode runs corporate-contact search patterns (e.g. "email for bookings") aimed at business accounts; personal mode instead filters results to specific consumer email domains you supply via personalDomainAllowlist (e.g. Gmail, Outlook).
Can I target leads by country?
Yes β set country to a country name, ISO code and/or dial code (e.g. "United Kingdom (+44)", "United States", "GB", or just "+91"). Matches are normalized to E.164 and validated against that country's numbering plan. Because the United States and Canada share +1, naming the country (not just the dial code) is what lets the area code decide between them β asking for Canada will not return US numbers.
Does Instagram B2B Email Scraper & Phone Leads work with Claude, ChatGPT, and AI agent frameworks?
It has no dedicated MCP server registration in this Actor's current setup, but it is callable as a standard Apify API endpoint by any agent framework that can make an authenticated HTTP request and parse JSON.
How does this compare to other Instagram lead-generation scrapers?
No independently verifiable competitor listing could be confirmed at the time of writing, so no specific comparison is made here. This Actor's distinguishing combination is dial-code phone targeting plus optional real (not inferred) profile enrichment in the same run.
Conclusion
Instagram B2B Email Scraper & Phone Leads turns keyword-driven Google discovery into structured, dial-code-targeted contact leads β with genuine, libphonenumber-validated phone extraction and real Instagram profile data on every row, all computed without ever logging into Instagram. Because every contact is read from the account's own bio rather than from a search snippet, the email and phone on a row are attributable to the handle beside them. Start a run with your target keywords and country.