BrowserAct

Crawl linked pages within a chosen website scope and collect clean text, Markdown, or HTML with page metadata. Use the resulting records as source material for AI search systems or chatbot knowledge bases.

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• Collect documentation as Markdown
• Prepare source material for a chatbot knowledge base
• Gather blog content within a chosen scope

Search Google News by keyword and publication period through the BrowserAct API. Collect headlines, publishers, publication times, and article links in a structured form for industry research, brand coverage checks, and competitor news tracking.

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• Tracking news about an industry
• Checking brand coverage from the past 24 hours
• Collecting competitors’ news from the past week

Search X posts by keyword, select relevant discussions, and compose replies using configured product details, brand persona, and tone. Post replies from the search results and record whether each submission succeeded, supporting topic-based outreach and engagement.

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• Find relevant posts and reply to topic discussions
• Keep reply tone consistent with a brand persona
• Introduce a product in contextually relevant replies

Collect posts from public Facebook Pages with their text, authors, links, hashtags, and engagement counts. Gather reaction breakdowns and multiple batches of posts to review page activity, compare responses, or collect content around a chosen period.

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• Collect posts from a public Facebook Page
• Compare reaction types across posts
• Gather posts around a campaign period

Collect Indeed job listings by keyword, location, and country, with job titles, companies, salaries, full descriptions, benefits, and application links. The structured results support job comparisons, salary research, and analysis of companies’ hiring activity.

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• Comparing jobs by role and location
• Researching advertised salary ranges
• Reviewing competitors’ hiring activity

Collect business information from Google Maps using search keywords, language, and a country preference. Retrieve names, addresses, phone numbers, websites, ratings, and operating status for local market research or sales lead lists.

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• Build sales lead lists for a specific industry
• Research nearby competitors
• Collect business contact details for a local directory

Collect ranked products from Amazon Best Sellers pages across regional sites. Return product titles, prices, ratings, product identifiers, category details, and pagination information for category research or repeated snapshots of ranking changes.

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• Collect bestseller lists by category
• Compare competing products by rank, price, and rating
• Build ranking history from repeated snapshots

Search for social media profiles associated with a person, brand, or business across platforms including Facebook, Twitter, Instagram, LinkedIn, and TikTok. Receive a downloadable CSV with profile links, follower counts, page titles, and description snippets.

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• Research a brand's presence across social platforms
• Find competitors' social media profiles
• Locate creators across multiple platforms

Gather structured product data from Amazon search results using keywords, a brand filter, and a product limit. Collect prices, ratings, review counts, availability, and delivery details for market research or product catalog preparation.

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• Research products from a specific brand
• Compare prices and purchase availability
• Collect ratings and review counts for competitor research

Extract structured product details from Walmart URLs, including prices, availability, specifications, images, and color or size options. Gather fulfillment choices, return policies, and review summaries to support product comparisons and catalog building.

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• Build a catalog from Walmart product URLs
• Compare product specifications and variants
• Check product prices and availability

Find GitHub projects using keywords, minimum stars, and update dates, then collect repository details and contributor profiles through BrowserAct. Results include project descriptions, contributor biographies, personal websites, and Twitter handles for research, recruiting, or collaboration scouting.

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• Discover open-source projects in a specific field
• Collect developer profiles for recruiting
• Find potential collaborators and sponsors

Collect structured business data from Google Maps search results, including names, addresses, ratings, and price ranges. Set search terms, language, country, and result limits to build lists for sales prospecting or local market research.

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• Build a list of local sales prospects
• Research competitor locations in a city
• Compare restaurant ratings and price ranges

Search LinkedIn jobs by keywords, location, work arrangement, employment type, experience level, posting date, and company. Collect job descriptions, applicant counts, direct links, and salary information when provided to organize potential opportunities.

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• Finding remote or hybrid job openings
• Filtering jobs by employment type and experience
• Collecting recently posted jobs from selected companies

Collect Amazon product data from ASINs, unique product identifiers, and compare prices, specifications, reviews, and product images. Produce comparison tables and reports that highlight competitive strengths, weaknesses, and potential market opportunities.

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• Comparing competing products by ASIN
• Reviewing price ranges for similar products
• Comparing specifications, features, and materials

Search Taobao and Tmall by keyword and collect product listings with displayed prices, shop names, images, sales figures, and tags. Use price filters, sorting, and pagination to compare products or research multiple keywords.

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• Find products matching a keyword
• Compare listings within a price range
• Research Tmall-only product listings

Search Google Maps by business type and location, collect business details, then visit listed websites to find public emails, phone numbers, and social profiles. Merge the results into a contact dataset for local business research and prospect lists.

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• Build a contact list for businesses in a specific area
• Find public business emails on listed websites
• Collect local competitors' details and opening hours

Collect Airbnb accommodation search results for a destination, including listing links, locations, ratings, prices, photos, and badges. Specify dates, guest counts, and budget filters, then retrieve multiple pages of accommodation options.

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• Collecting accommodation options for a destination
• Finding listings within a budget for specific dates
• Comparing accommodation ratings and photos

Collect product listings from Walmart category pages, including prices, ratings, availability, and seller details. Use filtered category URLs and browse multiple pages to gather structured data for product comparisons and category research.

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• Collecting products from a filtered category
• Comparing prices and ratings within a category
• Checking availability and seller information

Gather Product Hunt launches from daily, weekly, monthly, or yearly leaderboards. Collect rankings, descriptions, votes, and product links, with optional maker profiles and visible website email addresses for product discovery and competitor research.

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• Finding new products for a selected period
• Collecting rankings and votes for competitor research
• Researching makers and their profile links

Find public professional profiles by industry, job title, and website using the BrowserAct API. Collect names, profile links, biographies, and company affiliations to build prospect lists, identify recruiting targets, or research key people at competitors.

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• Finding founders and CEOs for sales prospecting
• Identifying candidates for key roles
• Researching key people at competitors

Find a company's official website and social profiles from its name, or extract social profile links from a website URL. Structured results help fill gaps in sales contact lists and research a company's online presence.

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• Adding official websites and social links to sales leads
• Collecting a creator's social profiles from their website
• Researching competitors' social media presence

Find social media profiles through Google using a person’s name, brand name, or username. Collect platform names, profile links, usernames, description snippets, and follower counts where they appear in search results.

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• Find a person’s profiles across social platforms
• Collect links to a brand’s social media pages
• Find influencer profile candidates

Collect product listings from an Etsy shop URL, page by page. Return titles, images, current and original prices, ratings, review counts, and shipping badges to support shop comparisons, catalog collection, and repeated checks for changes.

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• Collect an Etsy shop's product catalog
• Compare competing shops' products and prices
• Check a specific shop's prices over time

Extract wholesale product details from 1688.com, including quantity-based prices, product variants with dimensions and weight, seller information, shop scores, promotions, and review summaries. Organize these details to compare sourcing options and supplier metrics.

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• Compare wholesale prices by order quantity
• Check dimensions and weight for product variants
• Compare supplier scores and repeat purchase rates