# Contact Info Scraper — Emails, Phones & Social Profiles (`q_services/contact-info-scraper`) Actor Extract emails, phone numbers and social media profiles from any list of websites. One clean row per domain. Perfect for lead enrichment. - **URL**: https://apify.com/q\_services/contact-info-scraper.md - **Developed by:** [Q Services](https://apify.com/q_services) (community) - **Categories:** Lead generation, Marketing - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 1,000 domain analyzeds This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Contact Info Scraper — Emails, Phones & Social Profiles Extrait **emails, numéros de téléphone et profils sociaux** (LinkedIn, X/Twitter, Facebook, Instagram, YouTube, TikTok, GitHub) depuis n'importe quelle liste de sites web. Une ligne propre par domaine, prête à exporter en JSON, CSV ou Excel. L'Actor scanne la page d'accueil **plus les pages les plus susceptibles de contenir des contacts** (contact, about, mentions légales, impressum…) — en français, anglais et allemand. Idéal pour : enrichissement de listes de prospects, qualification de leads, constitution de bases CRM. **Exemple de résultat :** ```json { "domain": "apify.com", "website": "https://www.apify.com", "emails": ["hello@apify.com", "support@apify.com"], "phones": ["+1 (888) 967-2004"], "linkedin": "https://www.linkedin.com/company/apifytech", "twitter": "https://twitter.com/apify", "facebook": "https://www.facebook.com/apifytech", "instagram": null, "youtube": "https://www.youtube.com/c/Apify", "tiktok": null, "github": "https://github.com/apify", "pagesScanned": 5, "scrapedAt": "2026-07-09T10:30:00.000Z" } ```` ### Comment l'utiliser 1. Collez votre liste de **sites web** (avec ou sans `https://`) 2. Ajustez si besoin le **nombre de pages analysées par site** (5 par défaut) 3. Cliquez sur **Start** — les résultats apparaissent dans l'onglet *Dataset* ### Combien ça coûte ? Tarification à l'usage, sans abonnement : | Événement | Prix | |---|---| | Démarrage du run | 0,01 $ | | Par domaine analysé | 0,002 $ | **Exemple concret : 1 000 sites ≈ 2,01 $.** Vous pouvez fixer une limite de dépense par run dans les options — l'Actor s'arrête proprement dès qu'elle est atteinte. ### Champs retournés | Champ | Type | Toujours présent ? | |---|---|---| | `domain` | texte | Oui | | `website` | lien (URL d'entrée) | Oui | | `emails` | liste de textes | Oui (vide si rien trouvé) | | `phones` | liste de textes | Oui (vide si rien trouvé) | | `linkedin`, `twitter`, `facebook`, `instagram`, `youtube`, `tiktok`, `github` | lien | Non (`null` si non trouvé) | | `pagesScanned` | nombre | Oui | | `scrapedAt` | date ISO | Oui | ### Limitations (en toute transparence) - Les téléphones proviennent des liens `tel:` des pages (fiables) — les numéros écrits uniquement en texte libre ne sont pas devinés, pour éviter les faux positifs - Les sites 100 % JavaScript (contenu chargé dynamiquement) peuvent retourner moins de contacts - Les emails protégés par des systèmes anti-bots (images, obfuscation JavaScript) ne sont pas déchiffrés - Un domaine analysé sans aucun contact trouvé retourne quand même une ligne (listes vides) — vous savez ainsi qu'il a bien été scanné ### FAQ **Le run se termine avec 0 résultat, pourquoi ?** Aucun des sites n'a pu être téléchargé (sites hors ligne, blocage). L'Actor échoue volontairement plutôt que de retourner un dataset vide. **Pourquoi certains domaines ont des listes vides ?** Le site ne publie tout simplement pas ces informations sur ses pages publiques. La ligne est quand même retournée pour distinguer « scanné, rien trouvé » de « non scanné ». **Puis-je l'utiliser via API ?** Oui, chaque Actor Apify est appelable par API et via MCP. Voir l'onglet *API* de cette page. **Est-ce légal ?** L'Actor n'extrait que des données publiquement affichées sur les sites. Vous restez responsable de la conformité de votre usage (RGPD, CAN-SPAM…), notamment pour la prospection commerciale. # Actor input Schema ## `startUrls` (type: `array`): Liste de sites à analyser (avec ou sans https://). L'Actor scanne la page d'accueil et les pages contact/about de chaque site. ## `maxPagesPerDomain` (type: `integer`): Nombre maximum de pages scannées par site (page d'accueil incluse). Plus de pages = plus de contacts trouvés, mais run plus long. ## `proxyConfiguration` (type: `object`): Configuration proxy. Le proxy Apify par défaut convient dans la plupart des cas. ## Actor input object example ```json { "startUrls": [ "https://www.apify.com" ], "maxPagesPerDomain": 5, "proxyConfiguration": { "useApifyProxy": true } } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "startUrls": [ "https://www.apify.com" ], "maxPagesPerDomain": 5, "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("q_services/contact-info-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "startUrls": ["https://www.apify.com"], "maxPagesPerDomain": 5, "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("q_services/contact-info-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "startUrls": [ "https://www.apify.com" ], "maxPagesPerDomain": 5, "proxyConfiguration": { "useApifyProxy": true } }' | apify call q_services/contact-info-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=q_services/contact-info-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Contact Info Scraper — Emails, Phones & Social Profiles", "description": "Extract emails, phone numbers and social media profiles from any list of websites. One clean row per domain. Perfect for lead enrichment.", "version": "1.0", "x-build-id": "IFHVbEC6gVHB3oVPW" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/q_services~contact-info-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-q_services-contact-info-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/q_services~contact-info-scraper/runs": { "post": { "operationId": "runs-sync-q_services-contact-info-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/q_services~contact-info-scraper/run-sync": { "post": { "operationId": "run-sync-q_services-contact-info-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "startUrls" ], "properties": { "startUrls": { "title": "Sites web", "type": "array", "description": "Liste de sites à analyser (avec ou sans https://). L'Actor scanne la page d'accueil et les pages contact/about de chaque site.", "default": [ "https://www.apify.com" ], "items": { "type": "string" } }, "maxPagesPerDomain": { "title": "Pages analysées par site", "minimum": 1, "maximum": 20, "type": "integer", "description": "Nombre maximum de pages scannées par site (page d'accueil incluse). Plus de pages = plus de contacts trouvés, mais run plus long.", "default": 5 }, "proxyConfiguration": { "title": "Proxy", "type": "object", "description": "Configuration proxy. Le proxy Apify par défaut convient dans la plupart des cas.", "default": { "useApifyProxy": true } } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```