Facebook Ad Leads Scraper ## 🤖 What does Facebook Ad Leads Scraper do? Facebook Ad Leads Scraper is designed to extract detailed information about the companies behind Facebook ads by leveraging data from the Meta Ad Library. Instead of collecting ad creatives, this actor focuses on gathering owner details—including contact information, addresses, social media links, and more—to help you gain insights into the businesses behind these ads. This actor collects key company details such as: - ID: Unique identifier for the company record. - Name: The official name of the company or organization. - Category: Business category or industry classification. - Email: Contact email address. - Phone: Telephone number. - Address: Physical address or location. - Description: A brief description or overview of the company. - Website: Company website URL. - Facebook & Instagram: Company social media profiles. - Profile Picture: Visual representation or logo of the company. ## 💡 Why scrape company details from Facebook Ad Library? The Facebook Ad Leads Scraper is a powerful tool for anyone looking to understand the entities behind digital advertising campaigns. Here’s why you might want to use it: - Competitive Analysis: Identify key players and competitors in your industry by analyzing which companies are actively advertising. - Market Research: Gain insights into business trends, outreach strategies, and the contact channels companies are promoting. - Enhanced Lead Generation: Build more accurate marketing lists or databases based on verified company information. - Campaign Analysis: Understand how businesses position themselves online and refine your own digital strategies. - Business Intelligence: Monitor the advertising landscape and discover emerging brands or industry leaders. ## 🚀 How to scrape Facebook Ad Leads Getting started with the Facebook Ad Leads Scraper is simple: 1. Configure Your Input: - Max Items: Define the maximum number of company records to retrieve. - Search Query: Specify a keyword to filter the ads and identify relevant companies. - Country: Optionally limit your search by a specific country code. - Category: Filter companies by the type of ad or industry category. - Proxy Configuration: Utilize Apify's proxy settings (default is residential proxies) for reliable and secure scraping. 2. Run the Actor: - Click Run to initiate the scraping process. 3. Access Your Data: - View or download the extracted company data from the Dataset tab for further analysis. ## 📝 Input Parameters The actor accepts the following input parameters: | Parameter | Type | Required | Description | | -------------------- | ------- | -------- | --------------------------------------------------------------------------------------------------------------------------------------------------------- | | maxItems | Integer | Yes | Maximum number of company records to scrape. Must be at least 1. Default is 10. | | query | String | Yes | Search query to filter the ads and, by extension, the companies behind them. For example, "pizza". | | country | String | No | Country code to filter companies by location. Default is set to "ALL" (all countries). | | category | String | No | Category to filter companies. Options include: "all", "political_and_issue_ads", "housing_ads", "employment_ads", and "credit_ads". Default is "all". | | mediaType | String | No | Media type to filter ads. Options include: "All media types", "Images", "Memes", "Images and Memes", "Videos", and "No image or video". Default is "all". | | activeStatus | String | No | Active status to filter ads. Options include: "Active ads", "Inactive ads", and "Active and Inactive". Default is "active". | | proxyConfiguration | Object | No | Proxy settings to route requests. Default configuration uses Apify's residential proxy group. | Example input: json { "maxItems": 10, "query": "pizza", "country": "US", "category": "Employment", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ## 📊 Results After running the actor, you will receive a structured dataset with the following fields: - ID: Unique company identifier. - Name: The company’s name. - Category: Business category or type. - Email: Contact email address. - Phone: Contact telephone number. - Address: Physical or mailing address. - Description: Brief company overview. - Website: URL of the company website. - Facebook: Link to the company's Facebook page. - Instagram: Company’s Instagram handle. - Profile Picture: URL to the company logo or profile image. Example output snippet: json [ { "id": "123456789", "name": "Example Company", "category": "Employment", "email": "contact@example.com", "phone": "+1-800-123-4567", "address": "123 Example Street, Example City, EX 12345", "description": "A leading provider in employment solutions.", "website": "https://www.example.com", "facebook": "https://www.facebook.com/examplecompany", "instagram": "examplecompany", "profile_picture": "https://example.com/logo.png" } ] ## 🌍 Proxy Usage To maximize success rates and minimize detection risks, Facebook Ad Leads Scraper uses Apify's proxy infrastructure. This setup provides: - Enhanced Reliability: Stable access to Facebook's Ad Library. - Geographical Flexibility: Ability to scrape data from different regions. - Reduced Blocking Risks: Mitigates IP blocking during high-frequency requests. ## ⚖️ Legal Considerations When using Facebook Ad Leads Scraper, please ensure that you: - Respect Facebook's Terms: Always comply with Facebook's terms of service and policies. - Avoid Overloading Servers: Implement reasonable request rates to prevent server overload. - Adhere to Data Privacy Laws: Comply with data protection regulations such as GDPR. - Seek Legal Advice if Needed: Consult a legal professional if you are unsure about the implications of web scraping. For additional insights on the legal aspects of web scraping, you may refer to our blog post on is web scraping legal?