MCP server

ScrapeField Official

com.scrapefield/scrapefield

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Google Maps, LinkedIn, Instagram, TikTok and X data as tools. Demo mode needs no key.

Website Source

At a glance

Type

MCP server

Publisher

scrapefield.com (verified by the MCP Registry)

Status

Working at last check

Tools

47

Token cost

About 16,971 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http scrapefield https://scrapefield.com/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.scrapefield]
url = "https://scrapefield.com/mcp"

Gemini CLI

{"mcpServers":{"scrapefield":{"httpUrl":"https://scrapefield.com/mcp"}}}

Cursor

{"mcpServers":{"scrapefield":{"url":"https://scrapefield.com/mcp"}}}

VS Code

{"servers":{"scrapefield":{"type":"http","url":"https://scrapefield.com/mcp"}}}

Antigravity

agy mcp add scrapefield https://scrapefield.com/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"scrapefield","server_url":"https://scrapefield.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"scrapefield","server_url":"https://scrapefield.com/mcp"}

Tools

• check_sign_up ~100 tokens
  `pending` until the person approves; then `approved`, with `api_key`, once. Use the key as `Authorization: Bearer …` on the API and on this server.
• get_instagram_comments ~358 tokens
  Fetch comments on one Instagram post: username, text, timestamp, like_count, reply_count and parent_id for replies. Use this for social listening and campaign verification. Give exactly one of `url` or `shortcode`. Costs 3 credits, cached or not; a failed call is refunded.
• get_instagram_hashtag ~272 tokens
  Fetch recent posts carrying one hashtag, each a full post. Use this for trend and campaign monitoring. Costs 64 credits, cached or not; a failed call is refunded.
• get_instagram_post ~264 tokens
  Fetch one Instagram post or Reel by its URL or shortcode: caption, media, username, timestamp, like_count, comments_count and view_count. Give exactly one of `url` or `shortcode`. Costs 3 credits, cached or not; a failed call is refunded.
• get_instagram_posts ~365 tokens
  Fetch recent posts and Reels by one Instagram account: shortcode, permalink, media_type, caption, timestamp, media_url, carousel children, like_count, comments_count, view_count, hashtags, mentions and the paid-partnership label. Give exactly one of `username` or `url`. Costs 3 credits, cached or no
• get_instagram_profile ~291 tokens
  Fetch an Instagram account: username, name, biography, bio_links, followers_count, follows_count, media_count, is_verified, is_private, is_business_account, category and the business contact buttons — named as in Instagram's Graph API. Use this for creator discovery and audience sizing. Give exactly
• get_linkedin_activity ~516 tokens
  Fetch what one person did recently on other people's posts: with `type=comments`, the comments they wrote and when; with `type=reactions`, the posts they reacted to and how. Each item carries the post, with its author and counts, when they did it, and for a comment its own `comment_url`, which opens
• get_linkedin_ad ~265 tokens
  Fetch one ad in full by its id or URL: what linkedin/ads gives, and where it was seen, country by country, with its targeting. Give exactly one of `id` or `url`. Costs 7 credits, cached or not; a failed call is refunded.
• get_linkedin_company ~290 tokens
  Fetch a LinkedIn company page: name, tagline, description, website, industry, company_size, employees_on_linkedin, headquarters, company_type, founded, specialties and follower_count. Use this to enrich a company from its LinkedIn URL. Give exactly one of `url` or `vanity_name`. Costs 3 credits, cac
• get_linkedin_company_people ~328 tokens
  Fetch the people who list a company as their employer, 25 a page from Sales Navigator, which hides no one: each person's name, location and profile, and their current roles, each with its title, employer and `company_id`, and start month. The same object, and price, as linkedin/people with `source=s
• get_linkedin_employee_stats ~343 tokens
  Fetch the counts on a company's People tab: where its people live, what they do, where they studied, what they are skilled at, each as a list of names and member counts. Use this to size a team, or to see where a company hires. Give exactly one of `url` or `vanity_name` or `company_id`. Costs 7 cred
• get_linkedin_group ~262 tokens
  Fetch one group: its name, members, description, rules, when it was made and whether its posts are public. Its posts, by `group_url` on linkedin/posts, are not available yet. Give exactly one of `url` or `id`. Costs 7 credits, cached or not; a failed call is refunded.
• get_linkedin_job ~350 tokens
  Fetch one LinkedIn job posting by its id or URL: title, company, location, employment_type, seniority_level, salary where the posting shows one, and the full description — the fields linkedin/jobs leaves null, and workplace_type, listed_at and easy_apply where the posting shows them. Use it on the j
• get_linkedin_post ~346 tokens
  Fetch one post by its URL: its text, images, author, published_at, reaction_count and comment_count. repost_count and the reactions by kind are null: the source gives the total only. Use linkedin/comments for its comments and linkedin/reactions for who reacted. Costs 3 credits, cached or not; a fail
• get_linkedin_post_comments ~522 tokens
  Fetch the comments on one post, up to 100 a page: each comment's text, author (name, headline, profile), published_at, like_count, reply_count and its own `url`, which opens the post at that comment. With `comment_url`, the replies to one comment. Use this to see who engages with a post and what the
• get_linkedin_post_reactions ~483 tokens
  Fetch who reacted to one post, up to 100 a page: each person's or company page's name, headline and link, and which reaction. With `comment_url`, who reacted to one comment. LinkedIn lists people who react by member id, so `actor.url` is usually a member-id link (`/in/ACoAA…`) with `vanity_name` nul
• get_linkedin_posts ~568 tokens
  Fetch recent posts by one person or company, or with `query` every public post with those words: text, images, video, document or article, and published_at. A person's posts also carry reaction_count (with the breakdown by kind), comment_count and repost_count; a company's carry the text and the dat
• get_linkedin_profile ~468 tokens
  Fetch a LinkedIn profile: full_name, headline, about, location, follower_count, connection_count, current_company, experience, education and skills. With `detail=with_email`, also look for their work email, each address checked with its mail server. Use this to enrich a person from their profile URL
• get_place ~438 tokens
  Fetch one Google Maps listing in full: name, categories, formatted_address, location, rating, user_ratings_total, rating_distribution, price_level, phone numbers, website, opening_hours, the About tab and business_status. popular_times is in the object, and null where the source does not give it. Ac
• get_place_photos ~404 tokens
  Fetch the photos on one place's listing, as URLs on Google's CDN; we do not rehost images. Dimensions and uploader are in the object, and null where the source does not give them. Give exactly one of `place_id` or `url`. Costs 4 credits, cached or not; a failed call is refunded.
• get_place_posts ~355 tokens
  Fetch the updates the owner posted on one place's listing, newest first: the text, the day, an image and where it links, such as an offer or an event. Use this to watch what a competitor announces. Give exactly one of `place_id` or `url`. Costs 4 credits, cached or not; a failed call is refunded.
• get_place_reviews ~478 tokens
  Fetch Google reviews for one place: rating, text, language, publish_time, the author (with their Local Guide badge and review count), photos and the owner_response where there is one. The first page has up to 8 reviews, and each page after it up to 20. Use this for review monitoring and sentiment wo
• get_tiktok_comments ~366 tokens
  Fetch comments on one TikTok video: username, text, create_time, like_count, reply_count and parent_comment_id for replies. Give exactly one of `url` or `id`. Costs 3 credits, cached or not; a failed call is refunded.
• get_tiktok_followers ~350 tokens
  Fetch an account's followers, newest first, or with `type=following` the accounts it follows: each a profile with its follower and video counts, about 50 a page. Use this to see who an audience is, or who a creator watches. Give exactly one of `username` or `url`. Costs 3 credits, cached or not; a f
• get_tiktok_profile ~274 tokens
  Fetch a TikTok account: username, display_name, bio_description, bio_url, is_verified, follower_count, following_count, likes_count and video_count — named as in TikTok's own APIs. Use this for creator discovery and audience sizing. Give exactly one of `username` or `url`. Costs 3 credits, cached or
• get_tiktok_trending ~200 tokens
  Fetch the videos TikTok's trending feed shows in one country now, each a full video. One page, which changes from call to call. Use this to see what is spreading. Costs 3 credits, cached or not; a failed call is refunded.
• get_tiktok_video ~283 tokens
  Fetch one TikTok video by URL or id: video_description, username, create_time, duration, the counts, the sound and whether duets and stitches are allowed. Give exactly one of `url` or `id`. Costs 3 credits, cached or not; a failed call is refunded.
• get_tiktok_videos ~355 tokens
  Fetch recent videos by one TikTok account: video_description, create_time, duration, cover_image_url, view_count, like_count, comment_count, share_count, favorites_count, hashtag_names and the sound. Give exactly one of `username` or `url`. Costs 3 credits, cached or not; a failed call is refunded.
• get_x_community ~258 tokens
  Fetch one community: its name, description, member_count, created_at, join_policy, rules and creator. `x/posts` with `community_url` gives its posts. Give exactly one of `url` or `id`. Costs 3 credits, cached or not; a failed call is refunded.
• get_x_followers ~336 tokens
  Fetch an account's followers, about 70 a page, or with `type=following` the accounts it follows: each an account, with its counts and bio. Use this to see who an audience is. Give exactly one of `username` or `url`. Costs 13 credits, cached or not; a failed call is refunded.
• get_x_post ~268 tokens
  Fetch one post by its URL or id: its text, author, created_at, public_metrics with views, media, hashtags and mentions, and the post it replies to or quotes. Give exactly one of `url` or `id`. Costs 3 credits, cached or not; a failed call is refunded.
• get_x_posts ~433 tokens
  Fetch an account's newest posts, about 20 a page with `next_cursor` for older ones; or, with `community_url`, the latest posts in a community, one window. Each post has its text, created_at, public_metrics (likes, reposts, replies, quotes, bookmarks, views), media, hashtags and mentions. Give exactl
• get_x_profile ~289 tokens
  Fetch an X account: username, name, description, location, the link in the profile, verified, created_at, and public_metrics (followers_count, following_count, tweet_count and more) — named as in X's own API v2. Use this to size an account or enrich a handle. Give exactly one of `username` or `url`.
• get_x_replies ~289 tokens
  Fetch the replies to one post, about 30 a page: each is a post, with its author, text, likes and replies, and `referenced_tweets` naming the post it answers. Give exactly one of `url` or `id`. Costs 13 credits, cached or not; a failed call is refunded.
• get_x_retweeters ~281 tokens
  Fetch the accounts that reposted one post, about 20 a page, each with its counts and bio. X's API calls this "retweeted by". Give exactly one of `url` or `id`. Costs 13 credits, cached or not; a failed call is refunded.
• search_instagram_accounts ~287 tokens
  Find Instagram accounts by a keyword: each account's username, name and link, the most relevant first, one page. The search answers from a search index, so it gives no counts: call `instagram/profile` with a username for the whole account. Use this to find creators and brands when you do not have a
• search_linkedin_ads ~571 tokens
  Search the ads LinkedIn shows in its public Ad Library, by advertiser, by words in the ad or by company id, optionally by country and date: each ad's advertiser, format, headline, text, image or video, call to action, where it leads, when it ran, its impressions range and its targeting, about 25 a p
• search_linkedin_companies ~378 tokens
  Find companies by name or keywords, place and size, up to 50 a page. Each result has the company's id, page, industry, place and followers; linkedin/company gives the whole page, and linkedin/employees its people. Costs 7 credits, cached or not; a failed call is refunded.
• search_linkedin_groups ~199 tokens
  Find groups by keywords: each one's name, URL, members and summary, 10 a page. Costs 7 credits, cached or not; a failed call is refunded.
• search_linkedin_jobs ~632 tokens
  Search LinkedIn job postings by keyword and location, with LinkedIn's own filters. Returns each posting's title, company, location, listed_at, URL, and workplace_type and easy_apply where the list shows them. employment_type, seniority_level, salary and description are null: linkedin/job gives them.
• search_linkedin_people ~898 tokens
  Find people by name, title, company, school or place. With `source=public` (the default), LinkedIn's own people search: it finds people well by name, but hides many other results as "LinkedIn Member", and those are left out. With `source=sales_navigator`, Sales Navigator's lead search: every match,
• search_linkedin_services ~289 tokens
  Find people who list a service on their profile, by what they offer and where: "web design" in "California". LinkedIn hides no one in this search, so it finds people that `linkedin/people` hides. Each result is a person, with their headline and place, 10 a page. Costs 7 credits, cached or not; a fai
• search_places ~551 tokens
  Find businesses and places on Google Maps by a text query, optionally around a point. Each result is the full listing: place_id, name, categories, formatted_address, location, rating and user_ratings_total, phone, website, opening_hours and business_status — named as in Google's Places API. Use this
• search_tiktok ~330 tokens
  Search TikTok by keyword. Returns videos by default; `type=user` returns accounts and `type=hashtag` returns hashtags. Use this for trend research and creator discovery when you do not already have a username. Costs 3 credits (13 for `type=hashtag`), cached or not; a failed call is refunded.
• search_tiktok_ads ~264 tokens
  Search the ads in TikTok's public Ad Library by keyword: each ad's advertiser, title, industry, when it first and last ran, its video or images, the audience range and impressions, about 12 a page. TikTok's library holds ads shown in Europe. Use this to watch what a brand or a category advertises. C
• search_x ~276 tokens
  Search X as its own search box does, newest first, about 20 a page; X's search operators work inside `query` (`from:nasa`, `since:2026-09-01`, `lang:en`). `type=user` finds accounts instead. Use this to follow a topic, a brand or a campaign. Costs 13 credits, cached or not; a failed call is refunded
• sign_up ~248 tokens
  Ask for a ScrapeField API key for the person you work for. We email them a link; they sign in and type the code this returns, and only then is a key made. Show them `user_code` and tell them to check their email. Then call check_sign_up with `id` every few seconds until it is approved: the key comes

Browse

• Email
• Social media
• Email marketing
• Maps and places

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