# Wellfound Company Details Scraper (`soft_alexist/wellfound-company-details-scraper`) Actor Scrape comprehensive company profiles from Wellfound with 40+ data points including funding, team, market tags, and social links. Perfect for investors, recruiters, and researchers analyzing early-stage startups and emerging companies. - **URL**: https://apify.com/soft\_alexist/wellfound-company-details-scraper.md - **Developed by:** [Soft Alexist](https://apify.com/soft_alexist) (community) - **Categories:** Automation, Developer tools, Jobs - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## Wellfound Company Details Scraper: Extract Startup Intelligence Data --- ### What Is Wellfound? Wellfound (formerly AngelList Talent) is a leading platform connecting startups, investors, and talent seekers. It hosts detailed company profiles containing funding information, team members, job openings, market classifications, and business metrics. For investors, recruiters, and market researchers, manually gathering this startup intelligence is tedious — the **Wellfound Company Details Scraper** automates the process, delivering structured company data at scale. --- ### Overview The **Wellfound Company Details Scraper** extracts comprehensive company profiles from Wellfound.com, capturing over 40 distinct data fields per company. It is designed for: - **Investors** researching startup landscapes and funding trends - **Recruiters** identifying growth-stage companies and open positions - **Market researchers** analyzing industry segments and company classifications - **Business intelligence teams** building competitive and market datasets - **Data analysts** integrating startup information into investment or HR platforms Key strengths include flexible URL targeting, graceful failure handling, and complete profile extraction including funding rounds, team members, culture perks, and social presence data. --- ### Input Format The scraper accepts a JSON configuration object with two primary parameters: ```json { "urls": [ "https://wellfound.com/company/squarespace" ], "ignore_url_failures": true, "max_items_per_url": 200 } ```` | Field | Type | Description | |---|---|---| | `urls` | Array | Direct links to Wellfound company profile pages (e.g., `https://wellfound.com/company/[company-slug]`) | | `ignore_url_failures` | Boolean | If `true`, the scraper continues running even if individual URLs fail; if `false`, a single failure stops the entire run | | `max_items_per_url` | Number | Maximum records collected per URL (typically `200` for full profiles) | > **Tip:** Use exact company profile URLs from Wellfound for best results. Search for the company name on Wellfound, navigate to its profile, and copy the URL. *** ### Output Format **Sample output** ```json { "id": "81973", "slug": "squarespace", "completeness_score": 68, "current_user_can_edit_profile": false, "current_user_can_recruit_for_startup": false, "hidden_sections": [ "SALARIES" ], "completeness": null, "job_listing_counts": { "__typename": "Counts", "roles": [ { "__typename": "ListCount", "option_id": "751460", "name": "Engineering", "count": 9 }, { "__typename": "ListCount", "option_id": "129175", "name": "Operations", "count": 1 }, { "__typename": "ListCount", "option_id": "387776", "name": "Other", "count": 1 }, { "__typename": "ListCount", "option_id": "751461", "name": "Product", "count": 2 } ], "locations": [ { "__typename": "ListCount", "option_id": "70817", "name": "Aveiro", "count": 2 }, { "__typename": "ListCount", "option_id": "2334", "name": "Dublin", "count": 3 }, { "__typename": "ListCount", "option_id": "1664", "name": "New York City", "count": 8 } ], "accepted_remote_locations": [], "job_types": [ { "__typename": "ListCount", "option_id": "full-time", "name": "full-time", "count": 13 } ], "job_sources": [ { "__typename": "ListCount", "option_id": "off_platform", "name": "Off Platform", "count": 13 } ] }, "name": "Squarespace", "logo_url": "https://photos.wellfound.com/startups/i/81973-e52c85a95022b02fbd3b6036447a696e-medium_jpg.jpg?buster=1589575536", "high_concept": "A website makes it real", "hiring": true, "is_operating": true, "badges": [ { "__typename": "Badge", "id": "ACTIVELY_HIRING", "name": "ACTIVELY_HIRING_BADGE", "label": "Actively Hiring", "tooltip": "Actively processing applications", "avatar_url": null, "rating": null, "data": null }, { "__typename": "Badge", "id": "B2C-81973", "name": "B2C_BADGE", "label": "B2C", "tooltip": null, "avatar_url": null, "rating": null, "data": null }, { "__typename": "Badge", "id": "B2B-81973", "name": "B2B_BADGE", "label": "B2B", "tooltip": null, "avatar_url": null, "rating": null, "data": null }, { "__typename": "Badge", "id": "COMPANY_STAGE-81973", "name": "COMPANY_STAGE_BADGE", "label": "Public Stage", "tooltip": "Publicly traded company", "avatar_url": null, "rating": null, "data": "public_stage" }, { "__typename": "Badge", "id": "TOP_INVESTORS-81973", "name": "TOP_INVESTORS_BADGE", "label": "Top Investors", "tooltip": "This company has received a significant amount of investment from top investors", "avatar_url": null, "rating": null, "data": null } ], "company_size": "SIZE_501_1000", "total_raised_amount": 278500000, "company_url": "http://www.squarespace.com", "twitter_url": "http://twitter.com/@squarespace", "blog_url": "http://blog.squarespace.com/", "facebook_url": "https://www.facebook.com/squarespace", "linked_in_url": "http://www.linkedin.com/company/squarespace", "product_hunt_url": "", "market_taggings": [ { "__typename": "NewTag", "id": "8", "name": "internet", "slug": "internet", "display_name": "Internet", "market_tag_noindex": false }, { "__typename": "NewTag", "id": "10", "name": "SaaS", "slug": "saas", "display_name": "SaaS", "market_tag_noindex": false }, { "__typename": "NewTag", "id": "87", "name": "publishing", "slug": "publishing-5", "display_name": "Publishing", "market_tag_noindex": true }, { "__typename": "NewTag", "id": "332", "name": "web design", "slug": "web-design", "display_name": "Web Design", "market_tag_noindex": false }, { "__typename": "NewTag", "id": "552", "name": "blogging platforms", "slug": "blogging-platforms", "display_name": "Blogging Platforms", "market_tag_noindex": true }, { "__typename": "NewTag", "id": "841", "name": "software", "slug": "software", "display_name": "Software", "market_tag_noindex": false }, { "__typename": "NewTag", "id": "956", "name": "content", "slug": "content", "display_name": "Content", "market_tag_noindex": false }, { "__typename": "NewTag", "id": "9540", "name": "web cms", "slug": "web-cms", "display_name": "Web CMS", "market_tag_noindex": true } ], "location_taggings": [ { "__typename": "NewTag", "id": "1664", "display_name": "New York City", "name": "new york city, ny", "slug": "new-york-city-ny", "location_tag_noindex": false }, { "__typename": "NewTag", "id": "24930", "name": "west new york", "slug": "west-new-york", "display_name": "West New York", "location_tag_noindex": true } ], "company_type_taggings": [ { "__typename": "NewTag", "id": "143833", "name": "Internet", "slug": "internet-4", "display_name": "Internet" } ], "current_user_follows_startup": false, "current_user_has_job_alert": false, "talent_banned": false, "job_listings_connection": { "__typename": "JobListingConnection", "total_count": 13 }, "current_user_can_recruit": false, "has_premium_jobs": false, "public": true, "published": true, "quarantined": false, "is_shell": false, "is_incubator": false, "current_user_can_update_investors": false, "product_description": "Squarespace makes beautiful products to help people with creative ideas succeed.\n\nOur platform empowers millions of people — from individuals and local artists to entrepreneurs shaping the world’s most iconic businesses — to share their stories and create an impactful, stylish, and easy-to-manage online presence.", "media_uploads_overview": [ { "__typename": "StartupMediaUpload", "id": "49047", "image_url": "https://d2gn4xht817m0g.cloudfront.net/p/media_uploads/images/original/000/049/047/49047-a95edd384b9ee6f37f58950af93f7d8a6a847476.png?1565318017", "video_url": null, "video_thumbnail_url": null, "mime": "image/png", "section": "overview", "order": 200 } ], "job_listings_connection_details": { "__typename": "JobListingConnection", "total_count": 13, "edges": [ { "__typename": "JobListingEdge", "node": { "__typename": "JobListing", "id": "4411272", "description_snippet": "\n", "title": "Staff Engineer, Frontend - Domains Growth", "slug": "staff-engineer-frontend-domains-growth", "job_type": "full_time", "location_names": [ "New York City" ], "accepted_remote_location_names": [], "auto_posted": true, "ats_source": null, "current_user_applied": false, "live_start_at": 1782727152, "recruiting_contact": null, "remote": false, "remote_config": { "__typename": "JobListingRemoteConfig", "id": "1122611", "kind": "ONSITE" }, "compensation": "$185k – $299k", "equity": null, "startup": { "__ref": "Startup:81973", "__circular": true }, "years_experience_min": 8, "years_experience_max": null, "is_bookmarked": false } }, { "__typename": "JobListingEdge", "node": { "__typename": "JobListing", "id": "4402185", "description_snippet": "\n", "title": "Staff Software Engineer, Backend (Communications Platform)", "slug": "staff-software-engineer-backend-communications-platform", "job_type": "full_time", "location_names": [ "New York City" ], "accepted_remote_location_names": [], "auto_posted": true, "ats_source": null, "current_user_applied": false, "live_start_at": 1782402976, "recruiting_contact": null, "remote": false, "remote_config": { "__typename": "JobListingRemoteConfig", "id": "1114551", "kind": "ONSITE" }, "compensation": "$185k – $299k", "equity": null, "startup": { "__ref": "Startup:81973", "__circular": true }, "years_experience_min": 10, "years_experience_max": null, "is_bookmarked": false } }, { "__typename": "JobListingEdge", "node": { "__typename": "JobListing", "id": "4384350", "description_snippet": "\n", "title": "Senior Staff Operations Manager, Applied Data & Insights ", "slug": "senior-staff-operations-manager-applied-data-insights", "job_type": "full_time", "location_names": [ "New York City" ], "accepted_remote_location_names": [], "auto_posted": true, "ats_source": null, "current_user_applied": false, "live_start_at": 1782231232, "recruiting_contact": null, "remote": false, "remote_config": { "__typename": "JobListingRemoteConfig", "id": "1097927", "kind": "ONSITE" }, "compensation": "$178k – $265k", "equity": null, "startup": { "__ref": "Startup:81973", "__circular": true }, "years_experience_min": 10, "years_experience_max": null, "is_bookmarked": false } }, { "__typename": "JobListingEdge", "node": { "__typename": "JobListing", "id": "4225901", "description_snippet": "\n", "title": "Lead Analyst, Product Analytics", "slug": "lead-analyst-product-analytics", "job_type": "full_time", "location_names": [ "New York City" ], "accepted_remote_location_names": [], "auto_posted": true, "ats_source": null, "current_user_applied": false, "live_start_at": 1778867457, "recruiting_contact": null, "remote": false, "remote_config": { "__typename": "JobListingRemoteConfig", "id": "949401", "kind": "ONSITE" }, "compensation": "$126k – $180k", "equity": null, "startup": { "__ref": "Startup:81973", "__circular": true }, "years_experience_min": 8, "years_experience_max": null, "is_bookmarked": false } }, { "__typename": "JobListingEdge", "node": { "__typename": "JobListing", "id": "4161138", "description_snippet": "\n", "title": "Senior Product Manager", "slug": "senior-product-manager", "job_type": "full_time", "location_names": [ "New York City" ], "accepted_remote_location_names": [], "auto_posted": true, "ats_source": null, "current_user_applied": false, "live_start_at": 1777543600, "recruiting_contact": null, "remote": false, "remote_config": { "__typename": "JobListingRemoteConfig", "id": "888260", "kind": "ONSITE" }, "compensation": "$153k – $247k", "equity": null, "startup": { "__ref": "Startup:81973", "__circular": true }, "years_experience_min": 5, "years_experience_max": null, "is_bookmarked": false } }, { "__typename": "JobListingEdge", "node": { "__typename": "JobListing", "id": "4051365", "description_snippet": "\n", "title": "Senior Product Manager, Acuity Scheduling ", "slug": "senior-product-manager-acuity-scheduling", "job_type": "full_time", "location_names": [ "New York City" ], "accepted_remote_location_names": [], "auto_posted": true, "ats_source": null, "current_user_applied": false, "live_start_at": 1775062754, "recruiting_contact": null, "remote": false, "remote_config": { "__typename": "JobListingRemoteConfig", "id": "792649", "kind": "ONSITE" }, "compensation": "$153k – $247k", "equity": null, "startup": { "__ref": "Startup:81973", "__circular": true }, "years_experience_min": 6, "years_experience_max": 8, "is_bookmarked": false } }, { "__typename": "JobListingEdge", "node": { "__typename": "JobListing", "id": "3333917", "description_snippet": "\n", "title": "Senior Software Engineer, Frontend - Domains", "slug": "senior-software-engineer-frontend-domains", "job_type": "full_time", "location_names": [ "Aveiro" ], "accepted_remote_location_names": [], "auto_posted": true, "ats_source": null, "current_user_applied": false, "live_start_at": 1751592058, "recruiting_contact": null, "remote": false, "remote_config": null, "compensation": "", "equity": null, "startup": { "__ref": "Startup:81973", "__circular": true }, "years_experience_min": null, "years_experience_max": null, "is_bookmarked": false } }, { "__typename": "JobListingEdge", "node": { "__typename": "JobListing", "id": "3328431", "description_snippet": "\n", "title": "Senior Software Engineer, Java - Monetization", "slug": "senior-software-engineer-java-monetization", "job_type": "full_time", "location_names": [ "Dublin" ], "accepted_remote_location_names": [], "auto_posted": true, "ats_source": null, "current_user_applied": false, "live_start_at": 1750986742, "recruiting_contact": null, "remote": false, "remote_config": null, "compensation": "", "equity": null, "startup": { "__ref": "Startup:81973", "__circular": true }, "years_experience_min": null, "years_experience_max": null, "is_bookmarked": false } }, { "__typename": "JobListingEdge", "node": { "__typename": "JobListing", "id": "3322422", "description_snippet": "\n", "title": "Software Engineer, Java - Marketing Tools", "slug": "software-engineer-java-marketing-tools", "job_type": "full_time", "location_names": [ "Dublin" ], "accepted_remote_location_names": [], "auto_posted": true, "ats_source": null, "current_user_applied": false, "live_start_at": 1750295783, "recruiting_contact": null, "remote": false, "remote_config": null, "compensation": "", "equity": null, "startup": { "__ref": "Startup:81973", "__circular": true }, "years_experience_min": null, "years_experience_max": null, "is_bookmarked": false } }, { "__typename": "JobListingEdge", "node": { "__typename": "JobListing", "id": "3317849", "description_snippet": "\n", "title": "Senior Software Engineer, Backend - Bio Sites", "slug": "senior-software-engineer-backend-bio-sites", "job_type": "full_time", "location_names": [ "Aveiro" ], "accepted_remote_location_names": [], "auto_posted": true, "ats_source": null, "current_user_applied": false, "live_start_at": 1749777383, "recruiting_contact": null, "remote": false, "remote_config": null, "compensation": "", "equity": null, "startup": { "__ref": "Startup:81973", "__circular": true }, "years_experience_min": null, "years_experience_max": null, "is_bookmarked": false } } ] }, "startup_rounds": { "__typename": "StartupRoundConnection", "total_count": 3, "edges": [ { "__typename": "StartupRoundEdge", "node": { "__typename": "StartupRound", "id": "180284", "round_type": null, "closed_at": 1513209600, "valuation": null } }, { "__typename": "StartupRoundEdge", "node": { "__typename": "StartupRound", "id": "39860", "round_type": "Series B", "closed_at": 1397520000, "valuation": "0" } }, { "__typename": "StartupRoundEdge", "node": { "__typename": "StartupRound", "id": "39859", "round_type": "Series A", "closed_at": 1278979200, "valuation": null } } ] }, "current_founder_roles": [ { "__typename": "StartupRole", "id": "16375167", "user": { "__typename": "User", "id": "445", "name": "Anthony Casalena", "slug": "acasalena", "avatar_url": "https://photos.wellfound.com/users/445-medium_jpg?1459970365", "path_name": "/p/acasalena", "pro_url_enabled": true, "primary_location": { "__typename": "NewTag", "id": "1664", "display_name": "New York City", "name": "new york city, ny", "slug": "new-york-city-ny", "location_tag_noindex": false }, "html_bio": "Founder/CEO @Squarespace" }, "hired_via_talent": false, "title": null, "role": "FOUNDER", "role_display_name": "Founder", "tenure_seconds": null } ], "past_founder_roles": [], "current_team_member_roles": { "__typename": "StartupRoleConnection", "total_count": 0, "edges": [] }, "media_uploads_culture": [ { "__typename": "StartupMediaUpload", "id": "565172", "image_url": "https://d2gn4xht817m0g.cloudfront.net/p/media_uploads/images/original/000/565/172/565172-e2423a67ef3ae2306e528b6befb3d24c58d83484.jpg?1582065906", "video_url": null, "video_thumbnail_url": null, "mime": "image/jpeg", "section": "culture", "order": 0 }, { "__typename": "StartupMediaUpload", "id": "565173", "image_url": "https://d2gn4xht817m0g.cloudfront.net/p/media_uploads/images/original/000/565/173/565173-fb2ab545b12014ca0c2d35bd5ea6b1598a50dc59.jpg?1582065913", "video_url": null, "video_thumbnail_url": null, "mime": "image/jpeg", "section": "culture", "order": 0 }, { "__typename": "StartupMediaUpload", "id": "565174", "image_url": "https://d2gn4xht817m0g.cloudfront.net/p/media_uploads/images/original/000/565/174/565174-61cc0b45a8fa9e50758da04fbae9d087087c180e.jpg?1582065919", "video_url": null, "video_thumbnail_url": null, "mime": "image/jpeg", "section": "culture", "order": 0 } ], "culture_perks": [] } ``` Each scraped company returns a rich record with 40+ fields covering identity, metrics, team, funding, and engagement: #### Company Identity & Metadata | Field | Meaning | |---|---| | `ID` | Unique Wellfound identifier for the company | | `Slug` | URL-friendly company identifier | | `Name` | Official company name | | `Logo URL` | Direct link to company logo image | | `Company URL` | Official company website | | `Public` | Whether the profile is publicly visible | | `Published` | Whether the profile has been published | | `Is Operating` | Current operational status of the company | #### Company Description & Classification | Field | Meaning | |---|---| | `High Concept` | One-line elevator pitch for the company | | `Product Description` | Detailed explanation of the company's product or service | | `Market Taggings` | Industry/market categories (e.g., SaaS, AI, E-commerce) | | `Location Taggings` | Geographic or regional tags | | `Company Type Taggings` | Company classification (e.g., VC-backed, bootstrapped, incubator) | | `Company Size` | Employee headcount range (e.g., 51-100, 101-200) | | `Badges` | Achievement badges or certifications earned | #### Financial & Funding Information | Field | Meaning | |---|---| | `Total Raised Amount` | Cumulative capital raised to date | | `Startup Rounds` | Detailed funding round history (seed, Series A/B/C, etc.) | | `Has Premium Jobs` | Whether premium job listings are posted | #### Team & Leadership | Field | Meaning | |---|---| | `Current Founder Roles` | Active founder/co-founder positions and profiles | | `Past Founder Roles` | Previous founder affiliations and background | | `Current Team Member Roles` | Active employees and their positions | | `Culture Perks` | Benefits, perks, and culture highlights | | `Media Uploads Culture` | Team photos, videos, or culture-related media | #### Hiring & Job Data | Field | Meaning | |---|---| | `Hiring` | Current hiring status (actively hiring or paused) | | `Job Listing Counts` | Number of open positions by category | | `Job Listings Connection` | List of active job postings | | `Job Listings Connection Details` | Enhanced job data with metadata | #### Social & Web Presence | Field | Meaning | |---|---| | `Twitter URL` | Company Twitter/X profile link | | `LinkedIn URL` | Company LinkedIn profile link | | `Facebook URL` | Company Facebook page link | | `Blog URL` | Official company blog or newsroom | | `Product Hunt URL` | Product Hunt launch page (if applicable) | #### Profile Management & Permissions | Field | Meaning | |---|---| | `Completeness Score` | Profile completeness percentage (0-100) | | `Completeness` | Detailed completeness breakdown by section | | `Can Edit Profile` | Whether the current user can modify the profile | | `Can Recruit for Startup` | User permission to post jobs | | `Can Recruit` | General recruitment permissions | | `Can Update Investors` | Permission to add/modify investor information | | `Hidden Sections` | Profile sections hidden from public view | #### User Engagement & Flags | Field | Meaning | |---|---| | `Follows Startup` | Whether current user follows the company | | `Has Job Alert` | Whether user has enabled job notifications | | `Talent Banned` | Whether the company is flagged or restricted | | `Quarantined` | Whether the profile is under review | | `Is Shell` | Whether the profile is a placeholder/shell account | | `Is Incubator` | Whether the entity is an incubator program | | `Media Uploads Overview` | Company media gallery overview | *** ### How to Use 1. **Find company URLs** — Navigate to Wellfound.com and search for the company. Open its profile page and copy the full URL. 2. **Prepare the input** — Add URLs to the `urls` array in JSON format. Each URL should be a direct company profile link. 3. **Configure failure handling** — Set `ignore_url_failures: true` for bulk scraping to handle bad URLs gracefully. 4. **Run the scraper** — Execute the actor and monitor progress in the run log. 5. **Export results** — Download output as JSON, CSV, or Excel for analysis or integration. **Best practices:** - Verify URLs point to company profile pages, not search results or job listings. - Use `ignore_url_failures: true` when scraping large lists to avoid interruptions. - Review `completeness_score` to identify profiles needing manual review. *** ### Use Cases & Business Value - **Investment intelligence:** Analyze startup funding trends, team size, and market positioning - **Talent acquisition:** Identify growth-stage companies with open roles and hiring momentum - **Market research:** Classify companies by industry, stage, and geography for sector analysis - **Competitor tracking:** Monitor hiring, funding announcements, and leadership changes - **Data enrichment:** Append Wellfound data to existing CRM or prospect databases The Wellfound Company Details Scraper eliminates manual profile browsing, delivering structured startup intelligence that integrates seamlessly into spreadsheets, databases, and BI tools. *** ### Conclusion The **Wellfound Company Details Scraper** is a powerful tool for anyone needing comprehensive startup data. With 40+ fields covering funding, team, hiring, and social presence, it transforms Wellfound profiles into actionable intelligence. Start scraping today and unlock insights that drive investment, hiring, and market decisions. # Actor input Schema ## `urls` (type: `array`): Add the URLs of the Specific company urls you want to scrape. You can paste URLs one by one, or use the Bulk edit section to add a prepared list. ## `ignore_url_failures` (type: `boolean`): If true, the scraper will continue running even if some URLs fail to be scraped. ## Actor input object example ```json { "urls": [ "https://wellfound.com/company/squarespace" ], "ignore_url_failures": 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 = { "urls": [ "https://wellfound.com/company/squarespace" ], "ignore_url_failures": true }; // Run the Actor and wait for it to finish const run = await client.actor("soft_alexist/wellfound-company-details-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 = { "urls": ["https://wellfound.com/company/squarespace"], "ignore_url_failures": True, } # Run the Actor and wait for it to finish run = client.actor("soft_alexist/wellfound-company-details-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 '{ "urls": [ "https://wellfound.com/company/squarespace" ], "ignore_url_failures": true }' | apify call soft_alexist/wellfound-company-details-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=soft_alexist/wellfound-company-details-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Wellfound Company Details Scraper", "description": "Scrape comprehensive company profiles from Wellfound with 40+ data points including funding, team, market tags, and social links. Perfect for investors, recruiters, and researchers analyzing early-stage startups and emerging companies.", "version": "0.0", "x-build-id": "Ywd205QZ5ip4sBMyD" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/soft_alexist~wellfound-company-details-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-soft_alexist-wellfound-company-details-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/soft_alexist~wellfound-company-details-scraper/runs": { "post": { "operationId": "runs-sync-soft_alexist-wellfound-company-details-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/soft_alexist~wellfound-company-details-scraper/run-sync": { "post": { "operationId": "run-sync-soft_alexist-wellfound-company-details-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "urls": { "title": "URLs of the Specific company urls to scrape", "type": "array", "description": "Add the URLs of the Specific company urls you want to scrape. You can paste URLs one by one, or use the Bulk edit section to add a prepared list.", "items": { "type": "string" } }, "ignore_url_failures": { "title": "Continue running even if some URLs fail to be scraped", "type": "boolean", "description": "If true, the scraper will continue running even if some URLs fail to be scraped." } } }, "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 } } } } } } } } } } ```