Add Tasks
curl --request POST \
--url https://api.lobstr.io/v1/tasks \
--header 'Authorization: <authorization>' \
--header 'Content-Type: <content-type>'import requests
url = "https://api.lobstr.io/v1/tasks"
headers = {
"Authorization": "<authorization>",
"Content-Type": "<content-type>"
}
response = requests.post(url, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: '<authorization>', 'Content-Type': '<content-type>'}
};
fetch('https://api.lobstr.io/v1/tasks', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api.lobstr.io/v1/tasks",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_HTTPHEADER => [
"Authorization: <authorization>",
"Content-Type: <content-type>"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"net/http"
"io"
)
func main() {
url := "https://api.lobstr.io/v1/tasks"
req, _ := http.NewRequest("POST", url, nil)
req.Header.Add("Authorization", "<authorization>")
req.Header.Add("Content-Type", "<content-type>")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://api.lobstr.io/v1/tasks")
.header("Authorization", "<authorization>")
.header("Content-Type", "<content-type>")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.lobstr.io/v1/tasks")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = '<authorization>'
request["Content-Type"] = '<content-type>'
response = http.request(request)
puts response.read_bodyTwitter Search Results Scraper
Add Tasks
Add Twitter search scraping tasks by providing search URLs
POST
/
v1
/
tasks
Add Tasks
curl --request POST \
--url https://api.lobstr.io/v1/tasks \
--header 'Authorization: <authorization>' \
--header 'Content-Type: <content-type>'import requests
url = "https://api.lobstr.io/v1/tasks"
headers = {
"Authorization": "<authorization>",
"Content-Type": "<content-type>"
}
response = requests.post(url, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: '<authorization>', 'Content-Type': '<content-type>'}
};
fetch('https://api.lobstr.io/v1/tasks', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api.lobstr.io/v1/tasks",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_HTTPHEADER => [
"Authorization: <authorization>",
"Content-Type: <content-type>"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"net/http"
"io"
)
func main() {
url := "https://api.lobstr.io/v1/tasks"
req, _ := http.NewRequest("POST", url, nil)
req.Header.Add("Authorization", "<authorization>")
req.Header.Add("Content-Type", "<content-type>")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://api.lobstr.io/v1/tasks")
.header("Authorization", "<authorization>")
.header("Content-Type", "<content-type>")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.lobstr.io/v1/tasks")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = '<authorization>'
request["Content-Type"] = '<content-type>'
response = http.request(request)
puts response.read_bodyAdd Twitter search results to scrape by providing search URLs from X.com (Twitter). The scraper will extract tweets matching your search query.
Headers
string
required
Your API authentication token. Value:
Token YOUR_API_KEYstring
required
Request body format. Value:
application/jsonRequest Body
| Field | Type | Required | Description |
|---|---|---|---|
| squid | string | Yes | Hash of your squid configured with the Twitter Search Results Scraper |
| tasks | array | Yes | Array of task objects, each containing a url field |
Task Object
| Field | Type | Required | Description |
|---|---|---|---|
| url | string | Yes | Twitter search URL (e.g., https://x.com/search?q=keyword&src=typed_query&f=top) |
Search URL Parameters
Twitter search URLs support various filters via query parameters:| Parameter | Description |
|---|---|
| q | Search query (URL encoded) |
| f=top | Show top results |
| f=live | Show latest results |
| f=user | Show people results |
| f=image | Show image results |
| f=video | Show video results |
Perform your search on Twitter/X first, apply filters, then copy the URL to preserve all search parameters.
Use
f=live to get the most recent tweets matching your query.Advanced search operators like
from:username, since:2024-01-01, and filter:media are supported in the query.Code Examples
curl -X POST "https://api.lobstr.io/v1/tasks" \
-H "Authorization: Token YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"squid": "YOUR_SQUID_HASH",
"tasks": [
{
"url": "https://x.com/search?q=artificial%20intelligence&src=typed_query&f=top"
}
]
}'
import requests
API_KEY = "YOUR_API_KEY"
BASE_URL = "https://api.lobstr.io/v1"
headers = {"Authorization": f"Token {API_KEY}"}
squid_id = "YOUR_SQUID_HASH"
# Add Twitter search URLs to scrape
response = requests.post(f"{BASE_URL}/tasks",
headers=headers,
json={
"squid": squid_id,
"tasks": [
{"url": "https://x.com/search?q=artificial%20intelligence&src=typed_query&f=top"}
]
}
)
data = response.json()
print(f"Added {len(data['tasks'])} tasks")
print(f"Duplicates: {data['duplicated_count']}")
Response
200
{
"duplicated_count": 0,
"tasks": [
{
"id": "9fb224b5e2ce36942a74d1e94dd1cf14",
"created_at": "2025-07-07T09:53:32.017225",
"is_active": true,
"params": {
"url": "https://x.com/search?q=artificial%20intelligence&src=typed_query&f=top"
},
"module": 178,
"object": "task"
}
]
}
⌘I